Sequential Change Detection and Hypothesis Testing, Tartakovsky, Alexander (University of Connecticut, Storrs, USA)
Автор: Wilcox, Rand R. (university Of Southern California, Usa) Название: Introduction to robust estimation and hypothesis testing ISBN: 0128200987 ISBN-13(EAN): 9780128200988 Издательство: Elsevier Science Рейтинг: Цена: 16505.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Follow one girl as she builds a rocket and plans to take her friends on an amazing trip to the Sun and Moon. But will the task prove more difficult than she first thought? Imaginatively illustrated by T.S Spookytooth, this clever and inventive poem was written by eleven-year-old Collins Big Cat 2011 Writing Competition winner Nicole Sharrocks.
Автор: Fay, Michael P. Brittain, Erica H. Название: Statistical hypothesis testing in context ISBN: 1108423566 ISBN-13(EAN): 9781108423564 Издательство: Cambridge Academ Рейтинг: Цена: 7918.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: With over 60 years of applied experience, Fay and Brittain present hypothesis testing and compatible confidence intervals, emphasize strategies to address the reproducibility crisis, and provide methods for proper causal interpretation in scientific research. The book presents a full scope of tools and advice on their appropriate use in practice.
Автор: Jay Bartroff; Tze Leung Lai; Mei-Chiung Shih Название: Sequential Experimentation in Clinical Trials ISBN: 1461461138 ISBN-13(EAN): 9781461461135 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: Peter Goos, David Meintrup Название: Statistics with JMP: Hypothesis Tests, ANOVA and Regression ISBN: 1119097150 ISBN-13(EAN): 9781119097150 Издательство: Wiley Рейтинг: Цена: 9654.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Statistics with JMP: Hypothesis Tests, ANOVA and Regression
Peter Goos, University of Leuven and University of Antwerp, Belgium
David Meintrup, University of Applied Sciences Ingolstadt, Germany
A first course on basic statistical methodology using JMP
This book provides a first course on parameter estimation (point estimates and confidence interval estimates), hypothesis testing, ANOVA and simple linear regression. The authors approach combines mathematical depth with numerous examples and demonstrations using the JMP software.
Key features:
Provides a comprehensive and rigorous presentation of introductory statistics that has been extensively classroom tested.
Pays attention to the usual parametric hypothesis tests as well as to non-parametric tests (including the calculation of exact p-values).
Discusses the power of various statistical tests, along with examples in JMP to enable in-sight into this difficult topic.
Promotes the use of graphs and confidence intervals in addition to p-values.
Course materials and tutorials for teaching are available on the book's companion website.
Masters and advanced students in applied statistics, industrial engineering, business engineering, civil engineering and bio-science engineering will find this book beneficial. It also provides a useful resource for teachers of statistics particularly in the area of engineering.
Автор: David Siegmund Название: Sequential Analysis ISBN: 1441930752 ISBN-13(EAN): 9781441930750 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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 Рейтинг: Цена: 27251.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: David Siegmund Название: Sequential Analysis ISBN: 0387961348 ISBN-13(EAN): 9780387961347 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: Tartakovsky Alexander, Nikiforov Igor, Basseville Michele Название: Sequential Analysis: Hypothesis Testing and Changepoint Detection ISBN: 0367740044 ISBN-13(EAN): 9780367740047 Издательство: Taylor&Francis Рейтинг: Цена: 7348.00 р. Наличие на складе: Поставка под заказ.
Описание: This book covers the theoretical developments and applications of sequential hypothesis testing and sequential quickest changepoint detection in a wide range of engineering and environmental domains. It reviews recent accomplishments in hypothesis testing and changepoint detection both in decision-theoretic (Bayesian) and non-decision-theoretic
Автор: Gьl Gцkhan Название: Robust and Distributed Hypothesis Testing ISBN: 331984122X ISBN-13(EAN): 9783319841229 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book generalizes and extends the available theory in robust and decentralized hypothesis testing. The theory of robust detection is extended to robust estimation and the theory of robust distributed detection is extended to classes of distributions, which are not necessarily stochastically bounded.
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: Rubinstein Reuven Y Название: Fast Sequential Monte Carlo Methods for Counting and Optimiz ISBN: 1118612264 ISBN-13(EAN): 9781118612262 Издательство: Wiley Рейтинг: Цена: 16307.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: Hans R. Lerche Название: Boundary Crossing of Brownian Motion ISBN: 0387964339 ISBN-13(EAN): 9780387964331 Издательство: Springer Рейтинг: Цена: 12157.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Two themes are treated which are closely related to each other and to the law of the iterated logarithm:* I) curved boundary first passage distributions of Brownian motion, 11) optimal properties of sequential tests with parabolic and nearly parabolic boundaries.
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