Sequential Methods and Their Applications, Mukhopadhyay, Nitis , de Silva, Basil M.
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: 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: 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: Chopin Nicolas, Papaspiliopoulos Omiros Название: An Introduction to Sequential Monte Carlo ISBN: 3030478440 ISBN-13(EAN): 9783030478445 Издательство: Springer Рейтинг: Цена: 8384.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a general introduction to Sequential Monte Carlo (SMC) methods, also known as particle filters. Bayesian inference or rare-event problems), are also discussed. The book may be used either as a graduate text on Sequential Monte Carlo methods and state-space modeling, or as a general reference work on the area.
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: Chopin Nicolas, Papaspiliopoulos Omiros Название: An Introduction to Sequential Monte Carlo ISBN: 3030478475 ISBN-13(EAN): 9783030478476 Издательство: Springer Рейтинг: Цена: 8384.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a general introduction to Sequential Monte Carlo (SMC) methods, also known as particle filters. Bayesian inference or rare-event problems), are also discussed. The book may be used either as a graduate text on Sequential Monte Carlo methods and state-space modeling, or as a general reference work on the area.
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: 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: Baldi Antognini, Alessandro Giovagnoli, Alessandra Название: Adaptive designs for sequential treatment allocation ISBN: 036737773X ISBN-13(EAN): 9780367377731 Издательство: Taylor&Francis Рейтинг: Цена: 9798.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Adaptive Designs for Sequential Treatment Allocation presents a rigorous theoretical treatment of the results and mathematical foundation of adaptive design theory. The book focuses on designing sequential randomized experiments to compare two or more treatments incorporating information accrued along the way.
The authors first introduce the terminology and statistical models most commonly used in comparative experiments. They then illustrate biased coin and urn designs that only take into account past treatment allocations as well as designs that use past data, such as sequential maximum likelihood and various types of doubly adaptive designs. The book also covers multipurpose adaptive experiments involving utilitarian choices and ethical issues. It ends with adaptive methods that include covariates in the design. The appendices present basic tools of optimal design theory and address Bayesian adaptive designs.
This book helps readers fully understand the theoretical properties behind various adaptive designs. Readers are then equipped to choose the best design for their experiment.
Название: Applied Sequential Methodologies ISBN: 0367394561 ISBN-13(EAN): 9780367394561 Издательство: Taylor&Francis Рейтинг: Цена: 9798.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
A technically precise yet clear presentation of modern sequential methodologies having immediate applications to practical problems in the real world, Applied Sequential Methodologies communicates invaluable techniques for data mining, agricultural science, genetics, computer simulation, finance, clinical trials, sonar signal detection, randomization, multiple comparisons, psychology, tracking, surveillance, and numerous additional areas of application.
Includes more than 500 references, 165 figures and tables, and over 25 pages of subject and author indexes. Applied Sequential Methodologies brings the crucial nature of sequential approaches up to speed with recent theoretical gains, demonstrating their utility for solving real-life problems associated with
Change-point detection in multichannel and distributed systems
Best component selection for multivariate distributions
Multistate processes
Approximations for moving sums of discrete random variables
Interim and terminal analyses of clinical trials
Adaptive designs for longitudinal clinical trials
Slope estimation in measurement-error models
Tests for randomization and target tracking
Appropriate count of simulation runs
Stock price models
Orders of genes
Size and power control in multiple comparisons Authored by 33 leading scientists, this volume will greatly benefit sequential analysts, data analysts, applied statisticians, biometricians, clinical trialists, and upper-level undergraduate and graduate students in these disciplines.
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
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.
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
