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Author : Royal Statistical Society (Great Britain)
Publisher : Unknown
Page : 198 pages
File Size : 44,6 Mb
Release : 1938
Category : Great Britain
ISBN : RUTGERS:39030030735312
Author : Royal Statistical Society (Great Britain)
Publisher : Unknown
Page : 590 pages
File Size : 47,7 Mb
Release : 1870
Category : Great Britain
ISBN : HARVARD:32044103077574
Author : Anonim
Publisher : Unknown
Page : 264 pages
File Size : 42,9 Mb
Release : 1990
Category : Electronic
ISBN : UCSC:32106020886492
Author : National Institute of Standards and Technology (U.S.)
Publisher : Unknown
Page : 268 pages
File Size : 41,6 Mb
Release : 2002
Category : Engineering
ISBN : UIUC:30112065973171
Author : Erich L. Lehmann
Publisher : Springer Science & Business Media
Page : 123 pages
File Size : 46,9 Mb
Release : 2011-07-25
Category : Mathematics
ISBN : 9781441995001
Classical statistical theory—hypothesis testing, estimation, and the design of experiments and sample surveys—is mainly the creation of two men: Ronald A. Fisher (1890-1962) and Jerzy Neyman (1894-1981). Their contributions sometimes complemented each other, sometimes occurred in parallel, and, particularly at later stages, often were in strong opposition. The two men would not be pleased to see their names linked in this way, since throughout most of their working lives they detested each other. Nevertheless, they worked on the same problems, and through their combined efforts created a new discipline. This new book by E.L. Lehmann, himself a student of Neyman’s, explores the relationship between Neyman and Fisher, as well as their interactions with other influential statisticians, and the statistical history they helped create together. Lehmann uses direct correspondence and original papers to recreate an historical account of the creation of the Neyman-Pearson Theory as well as Fisher’s dissent, and other important statistical theories.
Author : Dennis D. Boos,L A Stefanski
Publisher : Springer Science & Business Media
Page : 567 pages
File Size : 49,5 Mb
Release : 2013-02-06
Category : Mathematics
ISBN : 9781461448181
This book is for students and researchers who have had a first year graduate level mathematical statistics course. It covers classical likelihood, Bayesian, and permutation inference; an introduction to basic asymptotic distribution theory; and modern topics like M-estimation, the jackknife, and the bootstrap. R code is woven throughout the text, and there are a large number of examples and problems. An important goal has been to make the topics accessible to a wide audience, with little overt reliance on measure theory. A typical semester course consists of Chapters 1-6 (likelihood-based estimation and testing, Bayesian inference, basic asymptotic results) plus selections from M-estimation and related testing and resampling methodology. Dennis Boos and Len Stefanski are professors in the Department of Statistics at North Carolina State. Their research has been eclectic, often with a robustness angle, although Stefanski is also known for research concentrated on measurement error, including a co-authored book on non-linear measurement error models. In recent years the authors have jointly worked on variable selection methods.
Author : Royal Statistical Society (Great Britain)
Publisher : Unknown
Page : 880 pages
File Size : 41,5 Mb
Release : 1926
Category : Electronic journals
ISBN : UOM:39015053597517
Published papers whose appeal lies in their subject-matter rather than their technical statistical contents. Medical, social, educational, legal,demographic and governmental issues are of particular concern.
Author : Ganapati P. Patil,S. Kotz,J.K. Ord
Publisher : Springer Science & Business Media
Page : 410 pages
File Size : 46,9 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9789401018456
These three volumes constitute the edited Proceedings of the NATO Advanced Study Institute on Statistical Distributions in Scientific Work held at the University of Calgary from July 29 to August 10, 1974. The general title of the volumes is "Statistical Distributions in Scientific Work". The individual volumes are: Volume 1 - Models and Structures; Volume 2 - Model Building and Model Selection; and Volume 3 - Characterizations and Applications. These correspond to the three advanced seminars of the Institute devoted to the respective subject areas. The planned activities of the Institute consisted of main lectures and expositions, seminar lectures and study group dis cussions, tutorials and individual study. The activities included meetings of editorial committees to discuss editorial matters for these proceedings which consist of contributions that have gone through the usual refereeing process. A special session was organized to consider the potential of introducing a course on statistical distributions in scientific modeling in the curriculum of statistics and quantitative studies. This session is reported in Volume 2. The overall perspective for the Institute is provided by the Institute Director, Professor G. P. Patil, in his inaugural address which appears in Volume 1. The Linnik Memorial Inaugural Lecture given by Professor C. R. Rao for the Characterizations Seminar is included in Volume 3.
Author : Anonim
Publisher : Unknown
Page : 88 pages
File Size : 41,9 Mb
Release : 1934
Category : Agriculture
ISBN : MINN:30000010185787
Author : United States. Bureau of Agricultural Economics. Library
Publisher : Unknown
Page : 560 pages
File Size : 50,7 Mb
Release : 1934
Category : Agriculture
ISBN : STANFORD:36105005947200
Author : H. O. Hartley
Publisher : Academic Press
Page : 347 pages
File Size : 45,9 Mb
Release : 2014-05-10
Category : Mathematics
ISBN : 9781483260884
Contributions to Survey Sampling and Applied Statistics: Papers in Honor of H. O. Hartley covers the significant advances in survey sampling, modeling, and applied statistics. This book is organized into five parts encompassing 20 chapters. The opening part looks into some aspects of statistics, sampling, randomization, predictive estimation, and internal congruency. This part also considers the properties of variance estimation for a specified multiple frame survey design and some sampling designs involving unequal probabilities of selection and robust estimation of a finite population total. The next parts present the analysis and the theoretical and practical aspects of linear models, as well as the applications of time series analysis. These topics are followed by discussions of the testing for outliers in linear regression; the robustness of location estimators; and completeness comparisons among sample sequences. The closing part deals with the properties of norm estimators in regression and geometric programming. This part also provides tables of the normal conditioned on t-distribution. This book will prove useful to mathematicians and statisticians.
Author : National Library of Medicine (U.S.)
Publisher : Unknown
Page : 1306 pages
File Size : 53,6 Mb
Release : 1981
Category : Medicine
ISBN : UOM:39015074114961
A keyword listing of serial titles currently received by the National Library of Medicine.
Author : Paul W. Jr. Mielke,Kenneth J. Berry
Publisher : Springer Science & Business Media
Page : 359 pages
File Size : 51,9 Mb
Release : 2013-06-29
Category : Mathematics
ISBN : 9781475734492
The book provides a comprehensive treatment of statistical inference using permutation techniques. It features a variety of useful and powerful data analytic tools that rely on very few distributional assumptions. Although many of these procedures have appeared in journal articles, they are not readily available to practitioners.
Author : Royal Statistical Society (Great Britain)
Publisher : Unknown
Page : 830 pages
File Size : 53,5 Mb
Release : 1896
Category : Electronic journals
ISBN : PRNC:32101068976784
Published papers whose appeal lies in their subject-matter rather than their technical statistical contents. Medical, social, educational, legal,demographic and governmental issues are of particular concern.
Author : Grant Hearn,Andrew Metcalfe
Publisher : Butterworth-Heinemann
Page : 320 pages
File Size : 54,9 Mb
Release : 1995-08-17
Category : Science
ISBN : 9780080541556
This text provides a thorough explanation of the underlying principles of spectral analysis and the full range of estimation techniques used in engineering. The applications of these techniques are demonstrated in numerous case studies, illustrating the approach required and the compromises to be made when solving real engineering problems. The principles outlined in these case studies are applicable over the full range of engineering disciplines and all the reader requires is an understanding of elementary calculus and basic statistics. The realistic approach and comprehensive nature of this text will provide undergraduate engineers and physicists of all disciplines with an invaluable introduction to the subject and the detailed case studies will interest the experienced professional. No more than a knowledge of elementary calculus, and basic statistics and probability is needed Accessible to undergraduates at any stage of their courses Easy and clear to follow