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Informative Hypotheses, Hoijtink, Herbert


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Автор: Hoijtink, Herbert
Название:  Informative Hypotheses
ISBN: 9780367382223
Издательство: Taylor&Francis
Классификация:


ISBN-10: 0367382229
Обложка/Формат: Paperback
Страницы: 244
Вес: 0.45 кг.
Дата издания: 27.09.2019
Язык: English
Размер: 254 x 178 x 13
Читательская аудитория: Tertiary education (us: college)
Основная тема: Statistics for Business, Finance & Economics
Подзаголовок: Theory and Practice for Behavioral and Social Scientists
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
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.




World hypotheses

Автор: Pepper, Stephen Coburn
Название: World hypotheses
ISBN: 0520009940 ISBN-13(EAN): 9780520009943
Издательство: Wiley
Цена: 4594.00 р.
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Описание: Examines six hypotheses - animism, mysticism, formism, mechanism, contextualism, and organicism - and surveys the field of metaphysics. This book is suitable for use as a text in courses in metaphysics, types of philosophical theory, or present tendencies in philosophy.

Testing Statistical Hypotheses

Автор: Lehmann
Название: Testing Statistical Hypotheses
ISBN: 0387988645 ISBN-13(EAN): 9780387988641
Издательство: Springer
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Цена: 11878.00 р.
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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.

Bayesian Evaluation of Informative Hypotheses

Автор: Herbert Hoijtink; Irene Klugkist; Paul Boelen
Название: Bayesian Evaluation of Informative Hypotheses
ISBN: 1441918744 ISBN-13(EAN): 9781441918741
Издательство: Springer
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Цена: 18167.00 р.
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Описание: This book presents an alternative to traditional "null hypothesis" testing. It builds on the idea that researchers have more informative research questions than the "nothing is going on" null hypothesis, or the "something is going on" alternative hypothesis.

Testing statistical hypotheses of equivalence and noninferiority

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
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Цена: 22202.00 р.
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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.

Expected Utility Hypotheses and the Allais Paradox

Автор: M. Allais; G.M. Hagen
Название: Expected Utility Hypotheses and the Allais Paradox
ISBN: 9027709602 ISBN-13(EAN): 9789027709608
Издательство: Springer
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Цена: 54504.00 р.
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Описание: Utility theory or, value theory in general, is certainly the cornerstone of decision theory, game theory, microecon~mics, and all social and political theories which deal with public decisions.

Statistical Tests Of Nonparametric Hypotheses: Asymptotic Theory

Автор: Pons Odile
Название: Statistical Tests Of Nonparametric Hypotheses: Asymptotic Theory
ISBN: 981453174X ISBN-13(EAN): 9789814531740
Издательство: World Scientific Publishing
Цена: 15048.00 р.
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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.

Multiple Hypothesenpr?fung / Multiple Hypotheses Testing

Автор: P. Bauer; G. Hommel; E. Sonnemann
Название: Multiple Hypothesenpr?fung / Multiple Hypotheses Testing
ISBN: 3540505598 ISBN-13(EAN): 9783540505594
Издательство: Springer
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Цена: 12157.00 р.
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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.

Expected Utility Hypotheses and the Allais Paradox

Автор: M. Allais; G.M. Hagen
Название: Expected Utility Hypotheses and the Allais Paradox
ISBN: 9048183545 ISBN-13(EAN): 9789048183548
Издательство: Springer
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Цена: 54504.00 р.
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Описание: Utility theory or, value theory in general, is certainly the cornerstone of decision theory, game theory, microecon~mics, and all social and political theories which deal with public decisions.

Testing statistical hypotheses

Автор: Lehmann, Erich L. Romano, Joseph P.
Название: Testing statistical hypotheses
ISBN: 1441931783 ISBN-13(EAN): 9781441931788
Издательство: Amazon Internet
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Цена: 16981.00 р.
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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.


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