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Theory of Point Estimation

Theory of Point Estimation
Author: Erich L. Lehmann
Publisher: Springer Science & Business Media
Total Pages: 610
Release: 2006-05-02
Genre: Mathematics
ISBN: 0387227288

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This second, much enlarged edition by Lehmann and Casella of Lehmann's classic text on point estimation maintains the outlook and general style of the first edition. All of the topics are updated, while an entirely new chapter on Bayesian and hierarchical Bayesian approaches is provided, and there is much new material on simultaneous estimation. Each chapter concludes with a Notes section which contains suggestions for further study. This is a companion volume to the second edition of Lehmann's "Testing Statistical Hypotheses".


Testing Statistical Hypotheses of Equivalence and Noninferiority

Testing Statistical Hypotheses of Equivalence and Noninferiority
Author: Stefan Wellek
Publisher: CRC Press
Total Pages: 431
Release: 2010-06-24
Genre: Mathematics
ISBN: 9781439808191

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While continuing to focus on methods of testing for two-sided equivalence, Testing Statistical Hypotheses of Equivalence and Noninferiority, Second Edition gives much more attention to noninferiority testing. It covers a spectrum of equivalence testing problems of both types, ranging from a one-sample problem with normally distributed observations


Learning Statistics with R

Learning Statistics with R
Author: Daniel Navarro
Publisher: Lulu.com
Total Pages: 617
Release: 2013-01-13
Genre: Computers
ISBN: 1326189727

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"Learning Statistics with R" covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software and adopting a light, conversational style throughout. The book discusses how to get started in R, and gives an introduction to data manipulation and writing scripts. From a statistical perspective, the book discusses descriptive statistics and graphing first, followed by chapters on probability theory, sampling and estimation, and null hypothesis testing. After introducing the theory, the book covers the analysis of contingency tables, t-tests, ANOVAs and regression. Bayesian statistics are covered at the end of the book. For more information (and the opportunity to check the book out before you buy!) visit http://ua.edu.au/ccs/teaching/lsr or http://learningstatisticswithr.com


Testing Statistical Hypotheses

Testing Statistical Hypotheses
Author: Erich L. Lehmann
Publisher: Springer Science & Business Media
Total Pages: 795
Release: 2006-03-30
Genre: Mathematics
ISBN: 038727605X

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The third edition of Testing Statistical Hypotheses updates and expands upon the classic graduate text, emphasizing optimality theory for hypothesis testing and confidence sets. The principal additions include a rigorous treatment of large sample optimality, together with the requisite tools. In addition, an introduction to the theory of resampling methods such as the bootstrap is developed. The sections on multiple testing and goodness of fit testing are expanded. The text is suitable for Ph.D. students in statistics and includes over 300 new problems out of a total of more than 760.


Breakthroughs in Statistics

Breakthroughs in Statistics
Author: Samuel Kotz
Publisher: Springer Science & Business Media
Total Pages: 576
Release: 2013-12-01
Genre: Mathematics
ISBN: 1461206677

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Volume III includes more selections of articles that have initiated fundamental changes in statistical methodology. It contains articles published before 1980 that were overlooked in the previous two volumes plus articles from the 1980's - all of them chosen after consulting many of today's leading statisticians.


Testing Statistical Hypotheses

Testing Statistical Hypotheses
Author: E.L. Lehmann
Publisher: Springer Nature
Total Pages: 1016
Release: 2022-06-22
Genre: Mathematics
ISBN: 3030705781

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The third edition of Testing Statistical Hypotheses updates and expands upon the classic graduate text, emphasizing optimality theory for hypothesis testing and confidence sets. The principal additions include a rigorous treatment of large sample optimality, together with the requisite tools. In addition, an introduction to the theory of resampling methods such as the bootstrap is developed. The sections on multiple testing and goodness of fit testing are expanded. The text is suitable for Ph.D. students in statistics and includes over 300 new problems out of a total of more than 760.


Counterexamples in Probability And Statistics

Counterexamples in Probability And Statistics
Author: A.F. Siegel
Publisher: Routledge
Total Pages: 336
Release: 2017-11-22
Genre: Mathematics
ISBN: 1351457632

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This volume contains six early mathematical works, four papers on fiducial inference, five on transformations, and twenty-seven on a miscellany of topics in mathematical statistics. Several previously unpublished works are included.


Introductory Business Statistics (paperback, B&w)

Introductory Business Statistics (paperback, B&w)
Author: Alexander Holmes
Publisher:
Total Pages: 0
Release: 2023-06-30
Genre:
ISBN: 9781998109487

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Printed in b&w. Introductory Business Statistics is designed to meet the scope and sequence requirements of the one-semester statistics course for business, economics, and related majors. Core statistical concepts and skills have been augmented with practical business examples, scenarios, and exercises. The result is a meaningful understanding of the discipline, which will serve students in their business careers and real-world experiences.


Fundamentals Of Testing Statistical Hypotheses

Fundamentals Of Testing Statistical Hypotheses
Author: A. Santhakumaran
Publisher: Atlantic Publishers & Dist
Total Pages: 166
Release: 2001
Genre:
ISBN: 9788126900442

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This Book Covers The Fundamentals Of Testing Of Statistical Hypotheses. It Presents The Concepts, Techniques And Applications Of Hypotheses Testing And Equips The Reader With Ability To Apply To Various Real Life Problems. The Book Is Based On The Author'S Long Experience Of Teaching The Subject.The Book Will Be Useful For Students And Teachers Of Undergraduate And Postgraduate Classes. It Will Also Be Helpful For Candidates Appearing In Competitive Examination Like Iss, Ugc, Slet Etc.Salient Features Of The Book Are :" Properly Graded And Solved Problems To Illustrate Each Concept And Procedure Are Presented In The Text." Selected Problems, University Questions And Questions, Including Those Of Objective Types, Of Various Competitive Examinations Are Added At The End Of Each Chapter." Statistical Table Values Are Obtained Using C Language." Provides Conceptual Clarity, Simplicity And Uptodate Materials.


Asymptotic Theory of Testing Statistical Hypotheses

Asymptotic Theory of Testing Statistical Hypotheses
Author: Vladimir E. Bening
Publisher: Walter de Gruyter
Total Pages: 305
Release: 2011-08-30
Genre: Mathematics
ISBN: 3110935996

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The series is devoted to the publication of high-level monographs and surveys which cover the whole spectrum of probability and statistics. The books of the series are addressed to both experts and advanced students.