Testing statistical hypotheses, Lehmann, E.l. Romano, Joseph P.
Автор: Lehmann, Erich L. Romano, Joseph P. Название: Testing statistical hypotheses ISBN: 1441931783 ISBN-13(EAN): 9781441931788 Издательство: Amazon Internet Рейтинг: Цена: 113210.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The Third Edition of Testing Statistical Hypotheses brings it into consonance with the Second Edition of its companion volume on point estimation (Lehmann and Casella, 1998) to which we shall refer as TPE2. We won't here comment on the long history of the book which is recounted in Lehmann (1997) but shall use this Preface to indicate the principal changes from the 2nd Edition. The present volume is divided into two parts. Part I (Chapters 1-10) treats small-sample theory, while Part II (Chapters 11-15) treats large-sample theory. The preface to the 2nd Edition stated that "the most important omission is an adequate treatment of optimality paralleling that given for estimation in TPE." We shall here remedy this failure by treating the di?cult topic of asymptotic optimality (in Chapter 13) together with the large-sample tools needed for this purpose (in Chapters 11 and 12). Having developed these tools, we use them in Chapter 14 to give a much fuller treatment of tests of goodness of 't than was possible in the 2nd Edition, and in Chapter 15 to provide an introduction to the bootstrap and related techniques. Various large-sample considerations that in the Second Edition were discussed in earlier chapters now have been moved to Chapter 11.
Автор: Thode, Henry C. Название: Testing For Normality ISBN: 036744710X ISBN-13(EAN): 9780367447106 Издательство: Taylor&Francis Рейтинг: Цена: 63280.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book addresses normal mixture distributions, robust estimation and computational issues of testing for univariate normality in complete samples and censored samples and for multivariate normality.
Автор: Hirsch Название: Statistical Hypothesis Testing with Microsoft ® Office Excel ® ISBN: 3031042018 ISBN-13(EAN): 9783031042010 Издательство: Springer Рейтинг: Цена: 51230.00 T Наличие на складе: Поставка под заказ. Описание: This book provides a comprehensive treatment of the logic behind hypothesis testing. Readers will learn to understand statistical hypothesis testing and how to interpret P-values under a variety of conditions including a single hypothesis test, a collection of hypothesis tests, and tests performed on accumulating data. The author explains how a hypothesis test can be interpreted to draw conclusions, and descriptions of the logic behind frequentist (classical) and Bayesian approaches to interpret the results of a statistical hypothesis test are provided. Both approaches have their own strengths and challenges, and a special challenge presents itself when hypothesis tests are repeatedly performed on accumulating data. Possible pitfalls and methods to interpret hypothesis tests when accumulating data are also analyzed. This book will be of interest to researchers, graduate students, and anyone who has to interpret the results of statistical analyses.
Автор: Vexler, Albert Название: Statistical Testing Strategies in the Health Sciences ISBN: 1032402512 ISBN-13(EAN): 9781032402512 Издательство: Taylor&Francis Рейтинг: Цена: 48990.00 T Наличие на складе: Нет в наличии.
Автор: Wellek, Stefan (central Institute Of Mental Health, Mannheim, And University Of Heidelberg, Germany) Название: Testing statistical hypotheses of equivalence and noninferiority ISBN: 143980818X ISBN-13(EAN): 9781439808184 Издательство: Taylor&Francis Рейтинг: Цена: 148010.00 T Наличие на складе: Нет в наличии. Описание: Focusing on methods of testing for two-sided equivalence, this title gives 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 of fixed known variance to problems involving several dependent or independent samples.
Автор: Lehmann Название: Testing Statistical Hypotheses ISBN: 0387988645 ISBN-13(EAN): 9780387988641 Издательство: Springer Рейтинг: Цена: 79190.00 T Наличие на складе: Поставка под заказ. Описание: This classic textbook, now available from Springer, summarizes developments in the field of hypotheses testing. Optimality considerations continue to provide the organizing principle. However, they are now tempered by a much stronger emphasis on the robustness properties of the resulting procedures. This book is an essential reference for any graduate student in statistics.
Автор: Pons Odile Название: Statistical Tests Of Nonparametric Hypotheses: Asymptotic Theory ISBN: 981453174X ISBN-13(EAN): 9789814531740 Издательство: World Scientific Publishing Цена: 100320.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: An overview of the asymptotic theory of optimal nonparametric tests is presented in this book. It covers a wide range of topics: Neyman-Pearson and LeCam's theories of optimal tests, the theories of empirical processes and kernel estimators with extensions of their applications to the asymptotic behavior of tests for distribution functions, densities and curves of the nonparametric models defining the distributions of point processes and diffusions. With many new test statistics developed for smooth curves, the reliance on kernel estimators with bias corrections and the weak convergence of the estimators are useful to prove the asymptotic properties of the tests, extending the coverage to semiparametric models. They include tests built from continuously observed processes and observations with cumulative intervals.
Автор: P. Bauer; G. Hommel; E. Sonnemann Название: Multiple Hypothesenpr?fung / Multiple Hypotheses Testing ISBN: 3540505598 ISBN-13(EAN): 9783540505594 Издательство: Springer Рейтинг: Цена: 81050.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Der vorliegende Band fat die Ergebnisse eines zweitagigen Symposions "Multiple Hypothesenprufung" am 6. und 7. November 1987 in Gerolstein/ Eifel zusammen. Das Problem der multiplen Hypothesenprufung stellt sich immer dann, wenn aufgrund eines statistischen Experimentes mehrere Fragestellungen beantwortet werden sollen. Insbesondere innerhalb biologisch-medizi- nischer Studien sind haufig mehrere Behandlungen, mehrere Zielgroen oder Messungen zu mehreren Zeitpunkten zu beurteilen. In der Vergangenheit wurde dem Problem der Multiplizitat der Fragestel- lungen nicht genugend Beachtung geschenkt. Im deutschsprachigen Raum erschien dieses Thema etwa ab Ende der 70er Jahre vermehrt auf Kongres- sen sowie in Veroffentlichungen, ausgelost durch die Arbeiten von MARCUS, PERITZ und GABRIEL (1976) und HOLM (1979). Besonders durch das Schwerpunkuhema "Simultane Hypothesenprufung" und die gemein- same Publikation der Referate im Rahmen des Biometrischen Seminars im Jahre 1981 in Bad Ischl, Osterreich, wurde die Aufmerksamkeit vieler Biometriker auf neuere Entwicklungen in diesem fur die Anwendung so wichtigen Bereich gelenkt. In der Folge kam es zu einer intensiven For- schungstatigkeit an den verschiedensten Stellen, vorwiegend von Biometr- kern und von Statistikern mit engem Verhaltnis zur Biometrie. Es war daher naheliegend zu versuchen, die in diesem Bereich methodisch tatigen Biometriker und Statistiker zu einem intensiven Meinungsaus- tausch zusammenzubringen. Dabei sollte eine Bestandsaufnahme vorge- nommen und uber die Richtung weiterer Entwicklungen diskutiert werden. Schon wahrend des Symposions wurde von emlgen Teilnehmern der Vor- schlag gemacht, den Tagungsband in englischer Sprache abzufassen, um IV den Ergebnissen international eine groere Verbreitung zu ermoglichen.
Автор: Hoijtink, Herbert Название: Informative Hypotheses ISBN: 0367382229 ISBN-13(EAN): 9780367382223 Издательство: Taylor&Francis Рейтинг: Цена: 65320.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
When scientists formulate their theories, expectations, and hypotheses, they often use statements like: I expect mean A to be bigger than means B and C"; I expect that the relation between Y and both X1 and X2 is positive"; and I expect the relation between Y and X1 to be stronger than the relation between Y and X2". Stated otherwise, they formulate their expectations in terms of inequality constraints among the parameters in which they are interested, that is, they formulate Informative Hypotheses.
There is currently a sound theoretical foundation for the evaluation of informative hypotheses using Bayes factors, p-values and the generalized order restricted information criterion. Furthermore, software that is often free is available to enable researchers to evaluate the informative hypotheses using their own data. The road is open to challenge the dominance of the null hypothesis for contemporary research in behavioral, social, and other sciences.
Автор: Hoijtink, Herbert Название: Informative Hypotheses ISBN: 1439880514 ISBN-13(EAN): 9781439880517 Издательство: Taylor&Francis Рейтинг: Цена: 102080.00 T Наличие на складе: Нет в наличии.
Автор: Mayo, Deborah G. Название: Statistical inference as severe testing ISBN: 1107054133 ISBN-13(EAN): 9781107054134 Издательство: Cambridge Academ Рейтинг: Цена: 54910.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This eye-opener illuminates controversies surrounding widely used statistical methods across the physical, social, and biological sciences. New solutions to philosophical problems of induction, falsification, science vs. pseudoscience are put to work to let statisticians and reproducibility researchers get beyond hardened conceptual disagreements.
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