Bibliographies: 'Statistics relating' – Grafiati (2024)

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Relevant bibliographies by topics / Statistics relating

Author: Grafiati

Published: 4 June 2021

Last updated: 12 February 2022

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Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Statistics relating.'

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Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Journal articles on the topic "Statistics relating":

1

Amidan, Brett. "Relating Statistics and Experimental Design." Technometrics 42, no.3 (August 2000): 307–8. http://dx.doi.org/10.1080/00401706.2000.10486051.

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Nelson,PeterR. "Relating Statistics and Experimental Design." Technometrics 42, no.3 (August 2000): 308–9. http://dx.doi.org/10.1080/00401706.2000.10486052.

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McDermott, Sean. "AKT question relating to statistics." InnovAiT: Education and inspiration for general practice 7, no.10 (September30, 2014): e65-e65. http://dx.doi.org/10.1177/1755738014548380.

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McDermott, Sean. "AKT question relating to medical statistics." InnovAiT: Education and inspiration for general practice 7, no.3 (February19, 2014): 150. http://dx.doi.org/10.1177/1755738014520930.

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McDermott, Sean. "AKT question relating to medical statistics." InnovAiT: Education and inspiration for general practice 7, no.8 (July29, 2014): e49-e49. http://dx.doi.org/10.1177/1755738014540809.

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McDermott, Sean. "AKT question relating to medical statistics." InnovAiT: Education and inspiration for general practice 7, no.11 (November 2014): e83-e83. http://dx.doi.org/10.1177/1755738014553357.

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McDermott, Sean. "AKT question relating to medical statistics." InnovAiT: Education and inspiration for general practice 8, no.2 (February 2015): 118. http://dx.doi.org/10.1177/1755738014565271.

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McDermott, Sean. "AKT question relating to medical statistics." InnovAiT: Education and inspiration for general practice 8, no.2 (February 2015): 97. http://dx.doi.org/10.1177/1755738014565273.

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Simon, Chantal. "AKT question relating to basic statistics." InnovAiT: Education and inspiration for general practice 8, no.4 (April 2015): e41-e41. http://dx.doi.org/10.1177/1755738015573125.

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Khayat, Noam, and Shaul Hochstein. "Relating categorization to set summary statistics perception." Attention, Perception, & Psychophysics 81, no.8 (June26, 2019): 2850–72. http://dx.doi.org/10.3758/s13414-019-01792-7.

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Journal articles Dissertations / Theses Books

Dissertations / Theses on the topic "Statistics relating":

1

Al-Abood,A.M. "Some statistical problems relating to exponential and gamma regression." Thesis, Brunel University, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.371783.

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Beedell,DavidC.(DavidCharles). "The effect of sampling error on the interpretation of a least squares regression relating phosporus and chlorophyll." Thesis, McGill University, 1995. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=22720.

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Least squares linear regression is a common tool in ecological research. One of the central assumptions of least squares linear regression is that the independent variable is measured without error. But this variable is measured with error whenever it is a sample mean. The significance of such contraventions is not regularly assessed in ecological studies. A simulation program was made to provide such an assessment. The program requires a hypothetical data set, and using estimates of S$ sp2$ it scatters the hypothetical data to simulate the effect of sampling error. A regression line is drawn through the scattered data, and SSE and r$ sp2$ are measured. This is repeated numerous times (e.g. 1000) to generate probability distributions for r$ sp2$ and SSE. From these distributions it is possible to assess the likelihood of the hypothetical data resulting in a given SSE or r$ sp2$. The method was applied to survey data used in a published TP-CHLa regression (Pace 1984). Beginning with a hypothetical, linear data set (r$ sp2$ = 1), simulated scatter due to sampling exceeded the SSE from the regression through the survey data about 30% of the time. Thus chances are 3 out of 10 that the level of uncertainty found in the surveyed TP-CHLa relationship would be observed if the true relationship were perfectly linear. If this is so, more precise and more comprehensive models will only be possible when better estimates of the means are available. This simulation approach should apply to all least squares regression studies that use sampled means, and should be especially relevant to studies that use log-transformed values.

3

Ellis, Rhonda. "Deriving Optimal Composite Scores: Relating Observational/Longitudinal Data with a Primary Endpoint." VCU Scholars Compass, 2009. http://scholarscompass.vcu.edu/etd/1942.

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In numerous clinical/experimental studies, multiple endpoints are measured on each subject. It is often not clear which of these endpoints should be designated as of primary importance. The desirability function approach is a way of combining multiple responses into a single unitless composite score. The response variables may include multiple types of data: binary, ordinal, count, interval data. Each response variable is transformed to a 0 to1 unitless scale with zero representing a completely undesirable response and one representing the ideal value. In desirability function methodology, weights on individual components can be incorporated to allow different levels of importance to be assigned to different outcomes. The assignment of the weight values are subjective and based on individual or group expert opinion. In this dissertation, it is our goal to find the weights or response variable transformations that optimize an external empirical objective criterion. For example, we find the optimal weights/transformations that minimize the generalized variance of a prediction regression model relating the score and response of an external variable in pre-clinical and clinical data. For application of the weighting/transformation scheme, initial weighting or transformation values must be obtained then calculation of the corresponding value of the composite score follows. Based on the selected empirical model for the analyses, parameter estimates are found using the usual iterative algorithms (e.g., Gauss Newton). A direct search algorithm (e.g., the Nelder-Mead simplex algorithm) is then used for the minimization of a given objective criterion i.e. generalized variance. The finding of optimal weights/transformations can also be viewed as a model building process. Here relative importance levels are given to each variable in the score and less important variables are minimized and essentially eliminated.

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Liggett, Rachel Esther. "Multivariate Approaches for Relating Consumer Preference to Sensory Characteristics." The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1282868174.

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Soltanian, Mohamad Reza. "RELATING REACTIVE TRANSPORT TO HIERARCHICAL AND MULTISCALE SEDIMENTARY ARCHITECTURE." Wright State University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=wright1428521270.

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Eriksson, Linnéa. "PSA testing, seasonal variation and relations to media in terms of prostate cancer." Thesis, Uppsala universitet, Tillämpad matematik och statistik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-377562.

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Delcroix,SophieM. "Bayesian Analysis of Cancer Mortality Rates from Different Types and their Relative Occurrences." Digital WPI, 1999. https://digitalcommons.wpi.edu/etd-theses/1114.

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"We analyze mortality data from prostate, colon, lung, and all other types (called other cancer) to obtain age specific and age adjusted mortality rates for white males in the U.S. A related problem is to estimate the relative occurrences of these four types of cancer. We use Bayesian method because it permits a degree of smoothing which is needed to analyze data at a small area level and to assess the patterns. In the recent Atlas of the United States Mortality (1996) each type of cancer was analyzed individually. The difficulty in doing so is that there are many small areas with zero deaths. We conjecture that simultaneous analyses might help to overcome this problem, and at the same time to estimate the relative occurrences. We start with a Poisson model for the deaths, which produces a likelihood function that separates into two parts: a Poisson likelihood for the rates and a multinomial likelihood for the relative occurrences. These permit the use of a standard Poisson regression model on age as in Nandram, Sedransk and Pickle (1999), and the novelty is a multivariate logit model on the relative occurrences in which per capita income, the percent of people below poverty level, education (percent of people with four years of college) and two criteria pollutants, EPAPM25 and EPASO2, are used as covariates. We fitted the models using Markov chain Monte Carlo methods. We used one of the models to present maps of occurrences and rates for the four types. An alternative model did not work well because it provides the same pattern by age and disease. We found that while EPAPM25 has a negative effect on the occurrences, EPASO2 has a positive effect. Also, we found some interesting patterns associated with the geographical variations of mortality rates and the relative occurrences of the four cancer types."

8

Ding, Qi. "Statistical topics relating to computer network anomaly detection." Thesis, Boston University, 2012. https://hdl.handle.net/2144/31538.

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Thesis (Ph.D.)--Boston University
PLEASE NOTE: Boston University Libraries did not receive an Authorization To Manage form for this thesis or dissertation. It is therefore not openly accessible, though it may be available by request. If you are the author or principal advisor of this work and would like to request open access for it, please contact us at open-help@bu.edu. Thank you.
This dissertation makes fundamental contributions to statistical methods relating to the detection of anomalies in the context of computer network traffic monitoring. In particular, it contributes basic statistical tools for socially-based network anomaly characterization and detection, it extends a popular detection methodology to high-dimensional contexts, and it demonstrates that standard flow sampling can interact with inherent network topology in ways unexpected. In the first contribution of my research, I define anomalous intrusion in terms of locations in social space, rather than in physical space. I develop statistical detectors based on simple graph-based summaries of the network, with a focus on detecting anti-social behaviors. This research suggests that certain values of local graphical measurements, like clustering coefficients and betweenness centrality, are associated with the malicious antisocial behaviors in the types of network representations of IP flow measurements used in this work. This motivates me to propose a simple, efficient and robust anomaly detection technique. I evaluate this methodology on different network representations and using different social summaries.In the second contribution of my research, I extend the use of the PCA subspace method to high-dimensional spaces. Specifically, I show that, under appropriate conditions,with high probability the magnitude of the residuals of a standard PCA subspace analysis of randomly projected data behaves comparably to that of the residuals of a similar PCA analysis of the original data. My results indicate the feasibility of applying subspacebased anomaly detection algorithms to Gaussian random projection data. This concept is illustrated in the context of computer network traffic anomaly detection for the purpose of detecting volume anomalies.The impact of sampling on so-called Peer-to-Peer (P2P) network analysis is the focus of the third contribution of my research. In this research I use a combination of probability calculations and simulation techniques to characterize the extent to which standard packet sampling in the Internet can adversely affect the topology of stylized versions of Bittorrent download networks reconstructed from measurements of network flows. The results indicate that a certain stratification observed in these networks impacts the reconstructed topology in ways decidedly different from typical networks which have no stratification.
2031-01-01

9

Ma, Ping Hang. "Disagreement : estimation of relative bias or discrepancy rate." Thesis, University of British Columbia, 1987. http://hdl.handle.net/2429/26445.

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Not only basic research in sciences, but also medicine, law, and manufacturingneed statistical techniques, including graphics, to assess disagreement.For some items or individuals ⍳ = 1,2,---,ո suppose that pairs (X⍳,Y⍳) denote each item's measurements by two distinct methods or by two observers, or X⍳ and Y⍳ may be initial and repeat measurement scores, with discrepancy D⍳ = X⍳ - Y⍳. Disagreement may be characterized by location and scale parameters of discrepancy distributions.The present work primarily addresses estimation of central tendency - relative bias or median discrepancy (or discrepancy rate in some instances). Most previous literature on "agreement" or "reliability" instead concerns X, Y correlation, which can be regarded as the complement of discrepancy variance. (There is ambiguity or confusion about concepts of "reliability" in the literature of various applications.)Discrepancies D₁, D₂, • • •, Dո in practice often violate assumptions of standard statistical models and methods that have been commonly applied in studies of agreement. In particular, both X⍳ and Y⍳ generally incorporate measurement errors. Further, these two measurement error distributions for the ⍳th item need not be the same; and both distributions could depend on the magnitude µ⍳, of the item being measured. Hence, for example, discrepancy D⍳ could have variance proportional to the size of the item; and in general D₁, D₂, • • •, Dո are not identically distributed. Finally, the selection of items ⍳ = 1,2, • • •, ո often is not random.To estimate median discrepancy, we consider nonparametric confidence intervals corresponding to Student t test, sign test, Wilcoxon signed rank test, or other permutation tests. Several criteria are developed to compare the performance of one procedure relative to another, including expected ratio of confidence interval lengths (related to Pitman asymptotic relative efficiency of tests) and relative variability of interval lengths. Theoretical calculations and Monte Carlo simulation results suggest different procedural preferences for random sampling from different distributions.For discrepancies distributed non-identically, but symmetrically about a common median value, mixture sampling is used as an approximate model. This approach is related to a "random walk" (rather than random sample) model of D₁, D₂, • • •, Dո proposed particularly for discrepancies between counting processes.We also emphasize graphic methods, especially plots of difference of Y - X versus average (X + Y)/2, for exploratory analysis of discrepancy data and to choose appropriate statistical models and numerical methods.Various data sets are analyzed as examples of the methodology.
Science, Faculty of
Statistics, Department of
Graduate

10

Howard, Sally Claire. "Statistical estimation of epidemiological parameters relating to infectious disease." Thesis, University of Oxford, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.365804.

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Books on the topic "Statistics relating":

1

London, Lloyd's of. Statistics relating to Lloyd's. London: Corporation of Lloyd's, 1988.

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Levin, Irwin. Relating Statistics and Experimental Design. 2455 Teller Road, Thousand Oaks California 91320 United States of America: SAGE Publications, Inc., 1999. http://dx.doi.org/10.4135/9781412985635.

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Levin,IrwinP. Relating statistics and experimental design: An introduction. Thousand Oaks, Calif: Sage Publications, 1999.

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India. National Commission for Enterprises in the Unorganised Sector. Report on definitional and statistical issues relating to informal economy. New Delhi: National Commission for Enterprises in the Unorganised Sector, 2008.

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5

Young, Rhonda. Relating wildlife crashes to road reconstruction. [Fargo, N.D.]: Mountain Plains Consortium, 2007.

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Study, Third International Mathematics and Science. National reports.: Additional information relating to the study in England. Slough: NFER, 1996.

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Dugbaza, Tetteh. National best practice guidelines for data linkage activities relating to Aboriginal and Torres Strait Islander people. Canberra: Australian Institute of Health and Welfare, Australian Bureau of Statistics, 2012.

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European Foundation for the Improvement of Living and Working Conditions. Catalogue of systems for the monitoring of working conditions relating to health and safety. Shankill, Co. Dublin, Ireland: The Foundation, 1992.

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Witt,JudithK. Drug problems in Wisconsin: A discussion of statistics and information relating to the drug abuse problem. Madison (222 State St., Madison 53702-0001): Wisconsin Office of Justice Assistance, Statistical Analysis Center, 1997.

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Mees,C.C. Pecheur Breton: An analysis of data relating to a mothership dory fishing operation in Seychelles waters from March 1991-June 1992. Fishing Port, Mahé, Seychelles: Seychelles Fishing Authority, 1992.

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Book chapters on the topic "Statistics relating":

1

Drennan,RobertD. "Relating Ranks." In Statistics for Archaeologists, 227–34. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4899-0165-1_15.

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Scheaffer,RichardL., Ann Watkins, Mrudulla Gnanadesikan, and JeffreyA.Witmer. "Relating to Correlation." In Activity-Based Statistics, 212–15. New York, NY: Springer New York, 1996. http://dx.doi.org/10.1007/978-1-4757-3843-8_45.

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Drennan,RobertD. "Relating Ranks." In Statistics for Archaeologists, 2nd Edition, 223–29. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-1-4419-0413-3_16.

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Mulhern, Gerry, and Brian Greer. "Relating: Multiple variables." In Making Sense of Data and Statistics in Psychology, 344–78. London: Macmillan Education UK, 2011. http://dx.doi.org/10.1007/978-0-230-35799-0_15.

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Watt,T.A. "Relating one thing to another." In Introductory Statistics for Biology Students, 121–51. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4899-3166-5_8.

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Watt,T.A. "Relating one thing to another." In Introductory Statistics for Biology Students, 94–122. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4899-3168-9_8.

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Drennan,RobertD. "Relating a Measurement Variable to Another Measurement Variable." In Statistics for Archaeologists, 203–26. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4899-0165-1_14.

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Alemayehu, Demissie. "Bootstrap Inference Relating to Pr[X < Y]." In Computing Science and Statistics, 291–95. New York, NY: Springer New York, 1992. http://dx.doi.org/10.1007/978-1-4612-2856-1_38.

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Drennan,RobertD. "Relating a Measurement Variable to Another Measurement Variable." In Statistics for Archaeologists, 2nd Edition, 199–222. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-1-4419-0413-3_15.

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Haran, Murali, BradleyP.Carlin, JohnL.Adgate, Gurumurthy Ramachandran, LanceA.Waller, and AlanE.Gelfand. "Hierarchical Bayes Models for Relating Particulate Matter Exposure Measures." In Case Studies in Bayesian Statistics, 239–54. New York, NY: Springer New York, 2002. http://dx.doi.org/10.1007/978-1-4612-2078-7_11.

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Conference papers on the topic "Statistics relating":

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Eggert, Julian. "Solomon curve 2020: Relating microscopic risk models with accident statistics." In 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2016. http://dx.doi.org/10.1109/itsc.2016.7795926.

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Rea,JosephA., HaroldG.Longbotham, and Hemal Kothari. "Stack filters: relating fuzzy theory to mathematical morphology and order statistics." In IS&T/SPIE's Symposium on Electronic Imaging: Science & Technology, edited by EdwardR.Dougherty, JaakkoT.Astola, HaroldG.Longbotham, NasserM.Nasrabadi, and AggelosK.Katsaggelos. SPIE, 1995. http://dx.doi.org/10.1117/12.205223.

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Burns,C.S. "Relating Gulf Coast Sand/Shale Statistics to Petrophysical Properties as Seen by Seismic." In SPE Annual Technical Conference and Exhibition. Society of Petroleum Engineers, 1986. http://dx.doi.org/10.2118/15527-ms.

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Matsumoto, Takuya, Shumpei Hara, Takahiro Tsukahara, and Yasuo Kawaguchi. "Instantaneous Turbulent Structure Relating to Momentum and Scalar Transport in a Reducing Channel Flow With Surfactant Additives." In ASME 2017 Fluids Engineering Division Summer Meeting. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/fedsm2017-69533.

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Turbulent surfactant solution flows dramatically suppress turbulent scalar and momentum transports with changes to turbulent structures near the wall. In this study, particle image velocimetry and planar laser induced fluorescence concentration measurement method were used simultaneously to analyze turbulent mass transfer experimentally in surfactant channel flows at high Reynolds number. When compared against the instantaneous flow fields of the water case, the results showed a decrease in the magnitude of elementary vortices in the near-wall region. Momentum and scalar transports are caused by the combination of elementary vortices that are irregularly arranged at the outer edge of the shear layer. A conceptual vortex model is proposed for turbulent scalar transfer that provides a partial explanation for the turbulence statistics of a surfactant solution flow, such as the Reynolds shear stress, turbulent mass flux, and mean concentration distribution.

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Крохичева, Галина, Galina Krohicheva, Алина Куровская, and Alina Kurovskaya. "DIRECTION AND FEATURES OF LAW ENFORCEMENT ACTIVITIES IN THE FIELD OF ENSURING ECONOMIC SECURITY." In Modern problems of an economic safety, accounting and the right in the Russian Federation. AUS PUBLISHERS, 2018. http://dx.doi.org/10.26526/conferencearticle_5c506001a4eeb5.90055886.

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The article presents the statistics of the annual collection of the Ministry of Internal Affairs of the Russian Federation on the state of crime relating to crimes of a corruption nature. The areas of activity of law enforcement agencies for ensuring economic security are analyzed, the main problems of determining the role and place of law enforcement agencies, internal affairs bodies in the system of ensuring economic security are identified, and measures are presented to improve the activities of internal affairs bodies in counteracting economic crime.

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Kiser,JonathanV.L. "The Status of Waste-to-Energy in the U.S." In 13th Annual North American Waste-to-Energy Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/nawtec13-3167.

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This paper provides an update on the status of waste-to-energy in the United States. It features a breakdown of operating plants by technology, the relative contribution each technology type makes in terms of managing municipal solid waste, and the role of waste-to-energy compared with other management options. The paper also provides a regional look at operating plants, some key insights at the state level, plus the type and amount of materials recovered on-site at waste-to-energy operations for subsequent recycling. Particular emphasis is placed on the use of combustion ash in various beneficial applications. In addition, the latest air pollution control trends relating to waste-to-energy operations are addressed. Also, waste-to-energy community recycling rates are examined and compared with national recycling statistics. Finally, a summary of States recognizing waste-to-energy as a renewable resource is provided. The paper demonstrates the ongoing vital role waste-to-energy plays in helping to manage waste in the U.S.

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Berry, Michael. "Quantum indistinguishability: Spin-statistics without relativity or field theory?" In Spin-statistics connection and commutation relations. AIP, 2000. http://dx.doi.org/10.1063/1.1337708.

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Ghirardi, GianCarlo. "The role of identity and entanglement in quantum mechanics." In Spin-statistics connection and commutation relations. AIP, 2000. http://dx.doi.org/10.1063/1.1337709.

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Celeghini, Enrico. "Quantum statistics and dynamical algebras: Fermions." In Spin-statistics connection and commutation relations. AIP, 2000. http://dx.doi.org/10.1063/1.1337710.

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Sudarshan,E.C.G. "Rotational invariance, the spin-statistics connection and the TCP theorem." In Spin-statistics connection and commutation relations. AIP, 2000. http://dx.doi.org/10.1063/1.1337711.

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Reports on the topic "Statistics relating":

1

Yaari, Menahem, Elhanan Helpman, Ariel Weiss, Nathan Sussman, Ori Heffetz, Hadas Mandel, Avner Offer, et al. Sustainable Well-Being in Israel. The Israel Academy of Sciences and Humanities, June 2021. http://dx.doi.org/10.52873/policy.2021.wellbeing-en.

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Well-being is a common human aspiration. Governments and states, too, seek to promote and ensure the well-being of their citizens; some even argue that this should be their overarching goal. But it is not enough for a country to flourish, and for its citizens to enjoy well-being, if the situation cannot be maintained over the long term. Well-being must be sustainable. The state needs criteria for assessing the well-being of its citizens, so that it can work to raise the well-being level. Joining many other governments around the world, the Israeli government adopted a comprehensive set of indices for measuring well-being in 2015. Since 2016, the Israel Central Bureau of Statistics has been publishing the assessment results on an annual basis. Having determined that the monitoring of well-being in Israel should employ complementary indices relating to its sustainability, the Ministry of Environmental Protection, the Bank of Israel, the Central Bureau of Statistics, and Yad Hanadiv asked the Israel Academy of Sciences and Humanities to establish an expert committee to draft recommendations on this issue. The Academy's assistance was sought in recognition of its statutory authority "to advise the government on activities relating to research and scientific planning of national significance." The Committee was appointed by the President of the Academy, Professor Nili Cohen, in March 2017; its members are social scientists spanning a variety of disciplines. This report presents the Committee's conclusions. Israel's ability to ensure the well-being of its citizens depends on the resources or capital stocks available to it, in particular its economic, natural, human, social, and cultural resources. At the heart of this report are a mapping of these resources, and recommendations for how to measure them.

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AlNassir,F., J.Schneider, D.McGrath, and E.Falk. 2014 Service Academy Gender Relations Survey: Statistical Methodology Report. Fort Belvoir, VA: Defense Technical Information Center, December 2014. http://dx.doi.org/10.21236/ada612381.

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Mirel, Lisa, Cindy Zhang, Christine Cox, Ye Yeats, Félix Suad El Burai, and Golden Cordell. Comparative analysis of the National Health and Nutrition Examination Survey public-use and restricted-use linked mortality files. Centers for Disease Control and Prevention (U.S.), May 2021. http://dx.doi.org/10.15620/cdc:104744.

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Abstract:

"Objectives—Linking national survey data with administrative data sources enables researchers to conduct analyses that would not be possible with each data source alone. Recently, the Data Linkage Program at the National Center for Health Statistics (NCHS) released updated Linked Mortality Files, including the National Health and Nutrition Examination Survey data linked to the National Death Index mortality files. Two versions of the files were released: restricted-use files available through NCHS and Federal Statistical Research Data Centers and public-use files. To reduce the reidentification risk, statistical disclosure limitation methods were applied to the public-use files before they were released. This included limiting the amount of mortality information available and perturbing cause of death and follow-up time for select records. Methods—To assess the comparability of the restricted-use and public-use files, relative hazard ratios for all-cause and cause-specific mortality using Cox proportional hazards models were estimated and compared. Results—The comparative analysis found that the two data files yield similar descriptive and model results. Suggested citation: Mirel LB, Zhang C, Cox CS, Ye Y, El Burai Félix S, Golden C. Comparative analysis of the National Health and Nutrition Examination Survey public-use and restricted-use linked mortality files. National Health Statistics Reports; no 155. Hyattsville, MD: National Center for Health Statistics. 2021. DOI: https://doi.org/10.15620/cdc:104744. CS323656 nhsr155-508.pdf"

4

Won, Chang-Hee. Characteristics, Nonlinearity of Statistical Control and Relations with Dynamic Game Theory. Fort Belvoir, VA: Defense Technical Information Center, November 2005. http://dx.doi.org/10.21236/ada440472.

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Metoyer,CandaceN., StephenJ.Walsh, MarkF.Tardiff, and Lawrence Chilton. Statistics for the Relative Detectability of Chemicals in Weak Gaseous Plumes in LWIR Hyperspectral Imagery. Office of Scientific and Technical Information (OSTI), October 2008. http://dx.doi.org/10.2172/989458.

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Buckingham,MichaelJ. Spatial Statistics of Deep-Water Ambient Noise; Dispersion Relations for Sound Waves and Shear Waves. Fort Belvoir, VA: Defense Technical Information Center, September 2014. http://dx.doi.org/10.21236/ada618055.

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Al Nassir, Fawzi, and Owen Hung. 2010 Workplace and Gender Relations Survey of Active Duty Members. Statistical Methodology Report. Fort Belvoir, VA: Defense Technical Information Center, November 2010. http://dx.doi.org/10.21236/ada540906.

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DEFENSE MANPOWER DATA CENTER ALEXANDRIA VA. 2012 Workplace and Gender Relations Survey of Reserve Component Members: Statistical Methodology Report. Fort Belvoir, VA: Defense Technical Information Center, September 2012. http://dx.doi.org/10.21236/ada575862.

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Kaplow, Louis. The Value of a Statistical Life and the Coefficient of Relative Risk Aversion. Cambridge, MA: National Bureau of Economic Research, July 2003. http://dx.doi.org/10.3386/w9852.

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Rosenfeld, Paul, David McGrath, Eric Falk, Tim Markham, Carole Massey, Sue Reinhold, Bob Fay, et al. 2015 Workplace and Gender Relations Survey of Reserve Component Members: Statistical Methodology Report. Fort Belvoir, VA: Defense Technical Information Center, March 2016. http://dx.doi.org/10.21236/ada630232.

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To the bibliography
Bibliographies: 'Statistics relating' – Grafiati (2024)

FAQs

How to footnote statistics? ›

How to cite Data/Statistical source
  1. Author(s)/Creator.
  2. Title.
  3. Year of publication: The date when the statistics/dataset was published or released (rather than the collection or coverage date)
  4. Publisher: the data center/repository.
  5. Any applicable identifier (including edition or version)
Jun 10, 2024

What is a statistical bibliography? ›

Statistical bibliography may be defined as the assembling and interpre- tation of statistics relating to books and periodicals; it may be used in a variety of situations for an almost unlimited number of measurements.

What is the citation format for statistics? ›

Statistics - Database

"Title of Document: Subtitle if Any." Title of Magazine/Journal, Publishing Organization, Date of publication. Database, permalink URL or DOI. Access Date. Note: If the publication has no listed author, start your citation with the title of the document.

Are statistics and probability the same? ›

Probability And Statistics are the two important concepts in Maths. Probability is all about chance. Whereas statistics is more about how we handle various data using different techniques. It helps to represent complicated data in a very easy and understandable way.

How to do a footnote bibliography? ›

The footnote usually includes the author's name, publication title, publication information, date of publication, and page number(s) if it is the first time the source is being used. For any additional usage, simply use the author's last name, publication title, and date of publication.

What is a footnote in statistics? ›

Footnotes include general notes, reference notes, and source notes. Tabular notes should be kept as brief as possible without sacrificing clarity. Topical style is used, with subject-noun, verb, articles, and other parts of speech omitted if not essential to understanding.

What are examples of bibliographic data? ›

Bibliographic Information
  • Author name.
  • Title of publication.
  • Article title (if using a journal)
  • Date of publication.
  • Place of publication.
  • Publisher.
  • Volume number of a journal, magazine or encyclopedia.
  • Page number(s)
Jun 26, 2024

How to write a bibliography? ›

Collect this information for each Web Site:
  1. author name.
  2. title of the publication (and the title of the article if it's a magazine or encyclopedia)
  3. date of publication.
  4. the place of publication of a book.
  5. the publishing company of a book.
  6. the volume number of a magazine or printed encyclopedia.
  7. the page number(s)

Should statistics always be cited? ›

If you're quoting or referring to statistics in your academic papers, the short and simple answer is, yes, of course, you should always cite your sources.

How to cite data used in a graph? ›

A reference within the text to a table, graph, diagram, etc. taken from a source should include the author, date and page number in brackets to enable the reader to identify the data. If you have already named the author in the text, only the publication year and page number needs to be mentioned in brackets.

Do statistics always need a citation? ›

Any time you use facts, statistics, dates, or unoriginal information, you should cite the source. It is particularly important to build your arguments from reliable sources.

What is an example of statistics? ›

A statistic is a number that represents a property of the sample. For example, if we consider one math class to be a sample of the population of all math classes, then the average number of points earned by students in that one math class at the end of the term is an example of a statistic.

Which is harder, statistics or calculus? ›

Some students might find Calculus harder, while others might struggle more with Statistics. It's highly personal, so talk to your teachers and peers to help you make the best decision.

Is statistics a math or not? ›

However, statistics arguably is not a branch of mathematics. It is a mathematical science, built upon the mathematical discipline of probability. Some ways in which mathematics and Statistics differ include: Statistics often does not produce definitive conclusions whereas mathematics usually does.

How do you cite data in a footnote? ›

How to cite data?
  1. Author(s)
  2. Date of publication.
  3. Title of dataset.
  4. Version, when appropriate.
  5. Publisher or repository.
  6. Persistent locator/identifier (e.g., DOI)
  7. Date accessed, when appropriate.
Nov 13, 2023

How to in text cite a statistic in MLA? ›

MLA Citation Guide (MLA 9th Edition): Statistics

Author. "Title of Data Set." Website Name, Day Month Year Posted or Last Updated, URL. Accessed Day Month Year viewed (optional, add if there is no upload/publication date), File Type format.

How do you footnote census data? ›

Citing Census Data
  1. U.S. Census Bureau as the author.
  2. Name of the database or other data repository/source (e.g., data.census.gov), set off by quotation marks, or follow publication citation style;
  3. The name of the person who generates the tabulation, etc., e.g., "generated by John Smith;"
Nov 29, 2023

How do you footnote evidence? ›

How do I Create a Footnote or Endnote?
  1. Using footnotes or endnotes involves placing a superscript number at the end of a sentence with information (paraphrase, quotation or data) that you wish to cite. ...
  2. Footnotes/endnotes begin with 1 and are numbered consecutively throughout the entire essay.

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