Автор: Pepper, Stephen Coburn Название: World hypotheses ISBN: 0520009940 ISBN-13(EAN): 9780520009943 Издательство: Wiley Цена: 4594.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Herbert Hoijtink; Irene Klugkist; Paul Boelen Название: Bayesian Evaluation of Informative Hypotheses ISBN: 1441918744 ISBN-13(EAN): 9781441918741 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: M. Allais; G.M. Hagen Название: Expected Utility Hypotheses and the Allais Paradox ISBN: 9027709602 ISBN-13(EAN): 9789027709608 Издательство: Springer Рейтинг: Цена: 54504.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
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: 22202.00 р. Наличие на складе: Поставка под заказ.
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: Hoijtink, Herbert Название: Informative Hypotheses ISBN: 0367382229 ISBN-13(EAN): 9780367382223 Издательство: Taylor&Francis Рейтинг: Цена: 9798.00 р. 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.
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: 12157.00 р. 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: M. Allais; G.M. Hagen Название: Expected Utility Hypotheses and the Allais Paradox ISBN: 9048183545 ISBN-13(EAN): 9789048183548 Издательство: Springer Рейтинг: Цена: 54504.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Lehmann Название: Testing Statistical Hypotheses ISBN: 0387988645 ISBN-13(EAN): 9780387988641 Издательство: Springer Рейтинг: Цена: 11878.00 р. 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: Lehmann, Erich L. Romano, Joseph P. Название: Testing statistical hypotheses ISBN: 1441931783 ISBN-13(EAN): 9781441931788 Издательство: Amazon Internet Рейтинг: Цена: 16981.00 р. 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.
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