Joint Statistical Papers
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Joint Statistical Papers Of Akahira And Takeuchi
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Author : Masafumi Akahira
language : en
Publisher: World Scientific
Release Date : 2003-08-13
Joint Statistical Papers Of Akahira And Takeuchi written by Masafumi Akahira and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-08-13 with Mathematics categories.
Masafumi Akahira and Kei Takeuchi have collaborated in research on mathematical statistics for nearly thirty years and have published many articles and papers. This volume is a collection of their papers, some published in well-known and others in lesser-known journals. The papers cover various fields, but the main subject is the theory of estimation — asymptotic, non-regular, sequential, etc. All the papers are theoretical in nature, but have implications for applied problems.
Joint Statistical Papers
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Author : Jerzy Neyman
language : en
Publisher: Univ of California Press
Release Date : 2023-11-15
Joint Statistical Papers written by Jerzy Neyman and has been published by Univ of California Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-15 with Mathematics categories.
Joint Statistical Papers
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Author : Jerzy Neyman
language : en
Publisher:
Release Date : 1995
Joint Statistical Papers written by Jerzy Neyman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with categories.
Statistical Topics In Health Economics And Outcomes Research
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Author : Demissie Alemayehu, PhD
language : en
Publisher: CRC Press
Release Date : 2017-11-22
Statistical Topics In Health Economics And Outcomes Research written by Demissie Alemayehu, PhD and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-22 with Mathematics categories.
With ever-rising healthcare costs, evidence generation through Health Economics and Outcomes Research (HEOR) plays an increasingly important role in decision-making about the allocation of resources. Accordingly, it is now customary for health technology assessment and reimbursement agencies to request for HEOR evidence, in addition to data from clinical trials, to inform decisions about patient access to new treatment options. While there is a great deal of literature on HEOR, there is a need for a volume that presents a coherent and unified review of the major issues that arise in application, especially from a statistical perspective. Statistical Topics in Health Economics and Outcomes Research fulfils that need by presenting an overview of the key analytical issues and best practice. Special attention is paid to key assumptions and other salient features of statistical methods customarily used in the area, and appropriate and relatively comprehensive references are made to emerging trends. The content of the book is purposefully designed to be accessible to readers with basic quantitative backgrounds, while providing an in-depth coverage of relatively complex statistical issues. The book will make a very useful reference for researchers in the pharmaceutical industry, academia, and research institutions involved with HEOR studies. The targeted readers may include statisticians, data scientists, epidemiologists, outcomes researchers, health economists, and healthcare policy and decision-makers.
Error And The Growth Of Experimental Knowledge
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Author : Deborah G. Mayo
language : en
Publisher: University of Chicago Press
Release Date : 1996-08-15
Error And The Growth Of Experimental Knowledge written by Deborah G. Mayo and has been published by University of Chicago Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-08-15 with Mathematics categories.
This text provides a critique of the subjective Bayesian view of statistical inference, and proposes the author's own error-statistical approach as an alternative framework for the epistemology of experiment. It seeks to address the needs of researchers who work with statistical analysis.
Probability And Bayesian Statistics
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Author : R. Viertl
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Probability And Bayesian Statistics written by R. Viertl and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Mathematics categories.
This book contains selected and refereed contributions to the "Inter national Symposium on Probability and Bayesian Statistics" which was orga nized to celebrate the 80th birthday of Professor Bruno de Finetti at his birthplace Innsbruck in Austria. Since Professor de Finetti died in 1985 the symposium was dedicated to the memory of Bruno de Finetti and took place at Igls near Innsbruck from 23 to 26 September 1986. Some of the pa pers are published especially by the relationship to Bruno de Finetti's scientific work. The evolution of stochastics shows growing importance of probability as coherent assessment of numerical values as degrees of believe in certain events. This is the basis for Bayesian inference in the sense of modern statistics. The contributions in this volume cover a broad spectrum ranging from foundations of probability across psychological aspects of formulating sub jective probability statements, abstract measure theoretical considerations, contributions to theoretical statistics and stochastic processes, to real applications in economics, reliability and hydrology. Also the question is raised if it is necessary to develop new techniques to model and analyze fuzzy observations in samples. The articles are arranged in alphabetical order according to the family name of the first author of each paper to avoid a hierarchical ordering of importance of the different topics. Readers interested in special topics can use the index at the end of the book as guide.
The Selected Papers Of E S Pearson
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Author : Egon Sharpe Pearson
language : en
Publisher: Univ of California Press
Release Date : 1966
The Selected Papers Of E S Pearson written by Egon Sharpe Pearson and has been published by Univ of California Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1966 with categories.
The distribution of frequency constants in small samples from symmetrical populations; The distribution of frequency constants in small samples from non-normal symmetrical and skew populations; Some notes on sampling tests with two variables; The analysis of variance in cases of non-normal variation; Methods of statistical analysis appropriate for k samples of two variables; The use of confidence of fiducial limits illustrated in the case of the binomial; The efficiency of statistical tools and a criterion for the rejection of outlying observations; Some aspects of the problem of randomization; The probability integral transformation for testing goodness of fit and combining independent tests of significance; A note on further properties of statistical tests;Notes on testing statistical hypotheses;
Encyclopedia Of Statistical Sciences Volume 12
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Author :
language : en
Publisher: John Wiley & Sons
Release Date : 2005-12-16
Encyclopedia Of Statistical Sciences Volume 12 written by and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-12-16 with Mathematics categories.
ENCYCLOPEDIA OF STATISTICAL SCIENCES
Wise Use Of Null Hypothesis Tests
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Author : Frank S Corotto
language : en
Publisher: Elsevier
Release Date : 2022-10-14
Wise Use Of Null Hypothesis Tests written by Frank S Corotto and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-14 with Psychology categories.
Few students sitting in their introductory statistics class learn that they are being taught the product of a misguided effort to combine two methods into one. Few students learn that some think the method they are being taught should be banned. Wise Use of Null Hypothesis Tests: A Practitioner's Handbook follows one of the two methods that were combined: the approach championed by Ronald Fisher. Fisher's method is simple, intuitive, and immune to criticism. Wise Use of Null Hypothesis Tests is also a user-friendly handbook meant for practitioners. Rather than overwhelming the reader with endless mathematical operations that are rarely performed by hand, the author of Wise Use of Null Hypothesis Tests emphasizes concepts and reasoning. In Wise Use of Null Hypothesis Tests, the author explains what is accomplished by testing null hypotheses—and what is not. The author explains the misconceptions that concern null hypothesis testing. He explains why confidence intervals show the results of null hypothesis tests, performed backwards. Most importantly, the author explains the Big Secret. Many—some say all—null hypotheses must be false. But authorities tell us we should test false null hypotheses anyway to determine the direction of a difference that we know must be there (a topic unrelated to so-called one-tailed tests). In Wise Use of Null Hypothesis Tests, the author explains how to control how often we get the direction wrong (it is not half of alpha) and commit a Type III (or Type S) error. - Offers a user-friendly book, meant for the practitioner, not a comprehensive statistics book - Based on the primary literature, not other books - Emphasizes the importance of testing null hypotheses to decide upon direction, a topic unrelated to so-called one-tailed tests - Covers all the concepts behind null hypothesis testing as it is conventionally understood, while emphasizing a superior method - Covers everything the author spent 32 years explaining to others: the debate over correcting for multiple comparisons, the need for factorial analysis, the advantages and dangers of repeated measures, and more - Explains that, if we test for direction, we are practicing an unappreciated and unnamed method of inference
An Objective Theory Of Probability
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Author : Donald Gillies
language : en
Publisher: Routledge
Release Date : 2012-03-02
An Objective Theory Of Probability written by Donald Gillies and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-03-02 with Mathematics categories.
This reissue of D. A. Gillies highly influential work, first published in 1973, is a philosophical theory of probability which seeks to develop von Mises' views on the subject. In agreement with von Mises, the author regards probability theory as a mathematical science like mechanics or electrodynamics, and probability as an objective, measurable concept like force, mass or charge. On the other hand, Dr Gillies rejects von Mises' definition of probability in terms of limiting frequency and claims that probability should be taken as a primitive or undefined term in accordance with modern axiomatic approaches. This of course raises the problem of how the abstract calculus of probability should be connected with the 'actual world of experiments'. It is suggested that this link should be established, not by a definition of probability, but by an application of Popper's concept of falsifiability. In addition to formulating his own interesting theory, Dr Gillies gives a detailed criticism of the generally accepted Neyman Pearson theory of testing, as well as of alternative philosophical approaches to probability theory. The reissue will be of interest both to philosophers with no previous knowledge of probability theory and to mathematicians interested in the foundations of probability theory and statistics.