Nonlinear Renewal Theory in Sequential Analysis, Michael Woodroffe

Автор: Wassmer
Название: Group Sequential and Confirmatory Adaptive Designs in Clinical Trials
ISBN: 3319325604 ISBN-13(EAN): 9783319325606
Издательство: Springer
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Описание: This book provides an up-to-date review of the general principles of and techniques for confirmatory adaptive designs. Confirmatory adaptive designs are a generalization of group sequential designs. With these designs, interim analyses are performed in order to stop the trial prematurely under control of the Type I error rate. In adaptive designs, it is also permissible to perform a data-driven change of relevant aspects of the study design at interim stages. This includes, for example, a sample-size reassessment, a treatment-arm selection or a selection of a pre-specified sub-population. Essentially, this adaptive methodology was introduced in the 1990s. Since then, it has become popular and the object of intense discussion and still represents a rapidly growing field of statistical research. This book describes adaptive design methodology at an elementary level, while also considering designing and planning issues as well as methods for analyzing an adaptively planned trial. This includes estimation methods and methods for the determination of an overall p-value. Part I of the book provides the group sequential methods that are necessary for understanding and applying the adaptive design methodology supplied in Parts II and III of the book. The book contains many examples that illustrate use of the methods for practical application. The book is primarily written for applied statisticians from academia and industry who are interested in confirmatory adaptive designs. It is assumed that readers are familiar with the basic principles of descriptive statistics, parameter estimation and statistical testing. This book will also be suitable for an advanced statistical course for applied statisticians or clinicians with a sound statistical background.

Автор: David Siegmund
Название: Sequential Analysis
ISBN: 1441930752 ISBN-13(EAN): 9781441930750
Издательство: Springer
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Цена: 130430.00 T
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Описание: The modern theory of Sequential Analysis came into existence simultaneously in the United States and Great Britain in response to demands for more efficient sampling inspection procedures during World War II.

Автор: David Siegmund
Название: Sequential Analysis
ISBN: 0387961348 ISBN-13(EAN): 9780387961347
Издательство: Springer
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Цена: 130430.00 T
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Описание: The modern theory of Sequential Analysis came into existence simultaneously in the United States and Great Britain in response to demands for more efficient sampling inspection procedures during World War II.

Автор: Arnaud Doucet; A. Smith; Nando de Freitas; Neil Go
Название: Sequential Monte Carlo Methods in Practice
ISBN: 1441928871 ISBN-13(EAN): 9781441928870
Издательство: Springer
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Цена: 181670.00 T
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Описание: Monte Carlo methods are revolutionizing the on-line analysis of data in many fileds. They have made it possible to solve numerically many complex, non-standard problems that were previously intractable. This book presents the first comprehensive treatment of these techniques.

Автор: Jay Bartroff; Tze Leung Lai; Mei-Chiung Shih
Название: Sequential Experimentation in Clinical Trials
ISBN: 1461461138 ISBN-13(EAN): 9781461461135
Издательство: Springer
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Цена: 102480.00 T
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Описание: This book examines sequential experimentation, including group sequential and adaptive designs of Phase II and III clinical trials. It includes recent work that provides a new class of adaptive designs which are both flexible and efficient.

Автор: J. Franke; W. H?rdle; D. Martin
Название: Robust and Nonlinear Time Series Analysis
ISBN: 038796102X ISBN-13(EAN): 9780387961026
Издательство: Springer
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Цена: 111790.00 T
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Описание: Classical time series methods are based on the assumption that a particular stochastic process model generates the observed data.

Автор: Rubinstein Reuven Y
Название: Fast Sequential Monte Carlo Methods for Counting and Optimiz
ISBN: 1118612264 ISBN-13(EAN): 9781118612262
Издательство: Wiley
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Цена: 108710.00 T
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Описание: This book presents the first comprehensive account of fast sequential Monte Carlo (SMC) methods for counting and optimization at an exceptionally accessible level. Written by authorities in the field, it places great emphasis on cross-entropy, minimum cross-entropy, splitting, and stochastic enumeration.

Автор: Holger Kantz
Название: Nonlinear Time Series Analysis
ISBN: 0521529026 ISBN-13(EAN): 9780521529020
Издательство: Cambridge Academ
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Описание: The time variability of many natural and social phenomena is not well described by standard methods of data analysis. Nonlinear time series analysis uses chaos theory and nonlinear dynamics to understand such seemingly unpredictable behaviour. Results are applied to real data from physics, biology, medicine and engineering.

Автор: Pranab Kumar Sen
Название: Theory and Applications of Sequential Nonparametrics
ISBN: 0898710510 ISBN-13(EAN): 9780898710519
Издательство: Mare Nostrum (Eurospan)
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Цена: 51830.00 T
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Описание: A study of sequential nonparametric methods emphasizing the unified Martingale approach to the theory, with a detailed explanation of major applications including problems arising in clinical trials, life-testing experimentation, survival analysis, classical sequential analysis and other areas of applied statistics and biostatistics.

Автор: Jay Bartroff; Tze Leung Lai; Mei-Chiung Shih
Название: Sequential Experimentation in Clinical Trials
ISBN: 1489995986 ISBN-13(EAN): 9781489995988
Издательство: Springer
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Цена: 102480.00 T
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Описание: This book examines sequential experimentation, including group sequential and adaptive designs of Phase II and III clinical trials. It includes recent work that provides a new class of adaptive designs which are both flexible and efficient.

Автор: Armin Schmutzler
Название: Flexibility and Adjustment to Information in Sequential Decision Problems
ISBN: 3540546456 ISBN-13(EAN): 9783540546450
Издательство: Springer
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Цена: 93160.00 T
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Описание: 1 The Importance of Irreversibility and Learning - Familiar 11 Bxamples Revisited 1. 3 Conclusions 30 2 The Role of Irreversibility and Learning in Sequential Decision Problems - Basic Concepts 33 2. 2 Economic Examples 37 2. 2 The Two-Period Model with Uncertainty 46 2. 2 An Example: Money Demand as Demand for Flexibility 61 2.