Download or read book An Essay on the Theory of Testing Statistical Hypotheses written by Norman Morse and published by . This book was released on 1953 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Testing Statistical Hypotheses written by Erich Leo Lehmann and published by John Wiley & Sons. This book was released on 1986 with total page 632 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the theory of hypotheses testing and of estimation by confidence intervals. Accompanying Theory of Point Estimation (1983) to cover the main topics of classical statistics, including theory and its principal applications, this second edition contains more on confidence intervals, simultaneous inference, admissibility, and conditioning. The book is thoroughly updated throughout with a new section on conditional inference and an expansion of multivariate material.
Download or read book Statistical Hypothesis Testing written by Ning-Zhong Shi and published by World Scientific. This book was released on 2008 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents up-to-date theory and methods of statistical hypothesis testing based on measure theory. The so-called statistical space is a measurable space adding a family of probability measures. Most topics in the book will be developed based on this term. The book includes some typical data sets, such as the relation between race and the death penalty verdict, the behavior of food intake of two kinds of Zucker rats, and the per capita income and expenditure in China during the 1978?2002 period. Emphasis is given to the process of finding appropriate statistical techniques and methods of evaluating these techniques.
Download or read book Fundamentals Of Testing Statistical Hypotheses written by A. Santhakumaran and published by Atlantic Publishers & Dist. This book was released on 2001 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Testing Statistical Hypotheses written by Erich L. Lehmann and published by Springer. This book was released on 2021-09-16 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Testing Statistical Hypotheses, 4th Edition updates and expands upon the classic graduate text, now a two-volume set. The first volume covers finite-sample theory, while the second volume discusses large-sample theory. A definitive resource for graduate students and researchers alike, this work grows to include new topics of current relevance. New additions include an expanded treatment of multiple hypothesis testing, a new section on extensions of the Central Limit Theorem, coverage of high-dimensional testing, expanded discussions of permutation and randomization tests, coverage of testing moment inequalities, and many new problems throughout the text.
Download or read book Testing Statistical Hypotheses written by Erich L. Lehmann and published by Springer. This book was released on 2021-05-21 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Testing Statistical Hypotheses, 4th Edition updates and expands upon the classic graduate text, now a two-volume set. The first volume covers finite-sample theory, while the second volume discusses large-sample theory. A definitive resource for graduate students and researchers alike, this work grows to include new topics of current relevance. New additions include an expanded treatment of multiple hypothesis testing, a new section on extensions of the Central Limit Theorem, coverage of high-dimensional testing, expanded discussions of permutation and randomization tests, coverage of testing moment inequalities, and many new problems throughout the text.
Download or read book Testing Statistical Hypotheses written by E.L. Lehmann and published by Springer Nature. This book was released on 2022-06-22 with total page 1016 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Testing Statistical Hypotheses 2nd Edition written by E.L. Lehmann and published by Chapman and Hall/CRC. This book was released on 1991-06-27 with total page 600 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Learning Statistics with R written by Daniel Navarro and published by Lulu.com. This book was released on 2013-01-13 with total page 617 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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
Download or read book Testing Statistical Hypotheses written by E.L. Lehmann and published by . This book was released on 1986 with total page 600 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Sample Size Choice written by Robert E. Odeh and published by CRC Press. This book was released on 2020-08-11 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: A guide to testing statistical hypotheses for readers familiar with the Neyman-Pearson theory of hypothesis testing including the notion of power, the general linear hypothesis (multiple regression) problem, and the special case of analysis of variance. The second edition (date of first not mentione
Download or read book Philosophy in Economics written by Joseph C. Pitt and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: The essays in this volume are the result of a workshop held at Virginia Polytechnic Institute and State University in April, 1979. The assembled group was diverse, comprised of philosophers, economists, and statisticians. But it was not the complete group on which we had initially planned. Richard Rudner was in France on sabbatical and was unable to fly back for the occa sion. His untimely death the following summer saddened us all, for we lost not just a colleague but a friend. This book is dedicated to him out of the spirit of friendship and in appreciation for the ground breaking work he did in the philosophy of the social sciences. In addition to the participants, a number of people worked very hard to make our gathering possible. We are especially indebted to Dean Henry Bauer, Dean Ernie Stout and Dean John Ballweg of the College of Arts and Sciences at Virginia Tech for their good will and support, both moral and substantive. We would also like to thank Professor Guy Hammond, Head, Department of Philosophy and Religion, for his council and assistance. Our special thanks to Jeanne Keister and Betty Davis for their patience with unending typing and reservations, and finally to Barbara Kersey, always at hand, ever helpful. Without them nothing would have transpired.
Download or read book Statistical Inference as Severe Testing written by Deborah G. Mayo and published by Cambridge University Press. This book was released on 2018-09-20 with total page 503 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mounting failures of replication in social and biological sciences give a new urgency to critically appraising proposed reforms. This book pulls back the cover on disagreements between experts charged with restoring integrity to science. It denies two pervasive views of the role of probability in inference: to assign degrees of belief, and to control error rates in a long run. If statistical consumers are unaware of assumptions behind rival evidence reforms, they can't scrutinize the consequences that affect them (in personalized medicine, psychology, etc.). The book sets sail with a simple tool: if little has been done to rule out flaws in inferring a claim, then it has not passed a severe test. Many methods advocated by data experts do not stand up to severe scrutiny and are in tension with successful strategies for blocking or accounting for cherry picking and selective reporting. Through a series of excursions and exhibits, the philosophy and history of inductive inference come alive. Philosophical tools are put to work to solve problems about science and pseudoscience, induction and falsification.
Download or read book Contributions to the Theory of Testing Statistical Hypotheses written by R. Sato and published by . This book was released on 1939 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Contributions to the Theory of Testing Statistical Hypotheses written by Jerzy Neyman and published by . This book was released on 1936 with total page 37 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Testing Statistical Hypotheses of Equivalence written by Stefan Wellek and published by CRC Press. This book was released on 2002-11-12 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: Equivalence testing has grown significantly in importance over the last two decades, especially as its relevance to a variety of applications has become understood. Yet published work on the general methodology remains scattered in specialists' journals, and for the most part, it focuses on the relatively narrow topic of bioequivalence assessment.
Download or read book Contributions to the Theory of Testing Statistical Hypotheses pts 2 and 3 written by Jerzy Neyman and published by . This book was released on 1938 with total page 33 pages. Available in PDF, EPUB and Kindle. Book excerpt:
