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Resampling Methods for Dependent Data, S. N. Lahiri


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Цена: 23058.00р.
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Автор: S. N. Lahiri
Название:  Resampling Methods for Dependent Data
ISBN: 9781441918482
Издательство: Springer
Классификация:


ISBN-10: 1441918485
Обложка/Формат: Paperback
Страницы: 374
Вес: 0.55 кг.
Дата издания: 29.11.2010
Серия: Springer Series in Statistics
Язык: English
Размер: 234 x 156 x 21
Основная тема: Statistics
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: By giving a detailed account of bootstrap methods and their properties for dependent data, this book provides illustrative numerical examples throughout.


Introduction to Statistics Through Resampling Methods and R

Автор: Good Phillip I
Название: Introduction to Statistics Through Resampling Methods and R
ISBN: 1118428218 ISBN-13(EAN): 9781118428214
Издательство: Wiley
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Цена: 8862.00 р.
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Описание: A highly accessible alternative approach to basic statistics Praise for the First Edition: "Certainly one of the most impressive little paperback 200-page introductory statistics books that I will ever see... it would make a good nightstand book for every statistician.

Introductory Statistics and Analytics - A Resampling Perspective

Автор: Bruce
Название: Introductory Statistics and Analytics - A Resampling Perspective
ISBN: 1118881354 ISBN-13(EAN): 9781118881354
Издательство: Wiley
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Цена: 10130.00 р.
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Описание: "Peter [Bruce] has provided relevant, newsworthy and interesting examples, and, he has the reader doing all sorts of experiments ... for getting the feel of the statistical process. I believe the topics cover the waterfront of what a primer should consist of. " From a User at Statistics.

Numerical  Time-Dependent Partial Differential Equations  for Sci

Автор: Moysey Brio
Название: Numerical Time-Dependent Partial Differential Equations for Sci
ISBN: 0121339815 ISBN-13(EAN): 9780121339814
Издательство: Elsevier Science
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Цена: 18696.00 р.
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Описание: It is the first text that in addition to standard convergence theory treats other necessary ingredients for successful numerical simulations of physical systems encountered by every practitioner. The book is aimed at users with interests ranging from application modeling to numerical analysis and scientific software development. It is strongly influenced by the authors research in in space physics, electrical and optical engineering, applied mathematics, numerical analysis and professional software development. The material is based on a year-long graduate course taught at the University of Arizona since 1989. The book covers the first two-semesters of a three semester series. The second semester is based on a semester-long project, while the third semester requirement consists of a particular methods course in specific disciplines like computational fluid dynamics, finite element method in mechanical engineering, computational physics, biology, chemistry, photonics, etc.The first three chapters focus on basic properties of partial differential equations, including analysis of the dispersion relation, symmetries, particular solutions and instabilities of the PDEs; methods of discretization and convergence theory for initial value problems. The goal is to progress from observations of simple numerical artifacts like diffusion, damping, dispersion, and anisotropies to their analysis and management technique, as it is not always possible to completely eliminate them.In the second part of the book we cover topics for which there are only sporadic theoretical results, while they are an integral part and often the most important part for successful numerical simulation. We adopt a more heuristic and practical approach using numerical methods of investigation and validation. The aim is teach students subtle key issues in order to separate physics from numerics. The following topics are addressed: Implementation of tra

Introduction to Statistics Through Resampling Methods and Microsoft Office Excel

Автор: Good
Название: Introduction to Statistics Through Resampling Methods and Microsoft Office Excel
ISBN: 0471731919 ISBN-13(EAN): 9780471731917
Издательство: Wiley
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Цена: 15990.00 р.
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Описание: Learn statistical methods quickly and easily with the discovery method With its emphasis on the discovery method, this publication encourages readers to discover solutions on their own rather than simply copy answers or apply a formula by rote.

Time Dependent Problems and Difference Methods

Автор: Gustafsson Bertil
Название: Time Dependent Problems and Difference Methods
ISBN: 0470900563 ISBN-13(EAN): 9780470900567
Издательство: Wiley
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Цена: 19792.00 р.
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Описание: Written by authors at the forefront of their field, this Second Edition discusses problems with periodic solutions, and presents new information on initial boundary value problems and numerical methods for partial differential equations.

Dependent Data in Social Sciences Research

Автор: Mark Stemmler; Alexander von Eye; Wolfgang Wiederm
Название: Dependent Data in Social Sciences Research
ISBN: 3319372270 ISBN-13(EAN): 9783319372273
Издательство: Springer
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Цена: 16769.00 р.
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Описание: This volume contains the following five sections: growth curve modeling, directional dependence, dyadic data modeling, item response modeling (IRT), and other methods for the analysis of dependent data (e.g., approaches for modeling cross-section dependence, multidimensional scaling techniques, and mixed models).

Time-Dependent Switched Discrete-Time Linear Systems: Control and Filtering

Автор: Lixian Zhang; Yanzheng Zhu; Peng Shi; Qiugang Lu
Название: Time-Dependent Switched Discrete-Time Linear Systems: Control and Filtering
ISBN: 3319288490 ISBN-13(EAN): 9783319288499
Издательство: Springer
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Цена: 18284.00 р.
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Описание: This book focuses on the basic control and filtering synthesis problems for discrete-time switched linear systems under time-dependent switching signals.

Analysis of Multiple Dependent Variables

Автор: Dattalo Patrick
Название: Analysis of Multiple Dependent Variables
ISBN: 0199773599 ISBN-13(EAN): 9780199773596
Издательство: Oxford Academ
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Цена: 6334.00 р.
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Описание: This pocket guide provides a concise, practical, and economical introduction to four procedures for the analysis of multiple dependent variables: multivariate analysis of variance (MANOVA), multivariate analysis of covariance (MANCOVA), multivariate multiple regression (MMR), and structural equation modeling (SEM).

Time-Dependent Scheduling

Автор: Stanis?aw Gawiejnowicz
Название: Time-Dependent Scheduling
ISBN: 3540694455 ISBN-13(EAN): 9783540694458
Издательство: Springer
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Цена: 20263.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Time-dependent scheduling involves problems in which the processing times of jobs depend on when those jobs are started. This book offers a study of complexity results and optimal and suboptimal algorithms concerning time-dependent scheduling in single-, parallel- and dedicated-machine environments.


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