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Multivariate probability and stochastic processes, Mccoll, John



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Автор: Mccoll, John
Название:  Multivariate probability and stochastic processes
Издательство: Hodder Arnold
Классификация:
Вероятность и статистика

ISBN: 0340719966
ISBN-13(EAN): 9780340719961
ISBN: 0-340-71996-6
ISBN-13(EAN): 978-0-340-71996-1
Обложка/Формат: Paperback
Страницы: 288
Вес: 0.545 кг.
Дата издания: 30.07.2004
Серия: Arnold texts in statistics
Язык: English
Иллюстрации: B&w illustrations
Размер: 235 x 156
Читательская аудитория: Undergraduate
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Поставляется из: Англии
Описание: Covering very mathematical aspects of statistics in a student friendly way, the author includes worked examples and exercises in this textbook. Multivariate probability is usually a prerequisite for a course in stochastic processes.



An Introduction to Multivariate Statistical Analysis, Third Edition

Автор: T. W. Anderson
Название: An Introduction to Multivariate Statistical Analysis, Third Edition
ISBN: 0471360910 ISBN-13(EAN): 9780471360919
Издательство: Wiley
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Цена: 17787 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Uses the method of maximum likelihood to a large extent to ensure reasonable, and in some cases optimal procedures. This work treats the basic and important topics in multivariate statistics.

Multivariate Time Series Analysis: With R and Financial Applications

Автор: Ruey S. Tsay
Название: Multivariate Time Series Analysis: With R and Financial Applications
ISBN: 1118617908 ISBN-13(EAN): 9781118617908
Издательство: Wiley
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Цена: 12821 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: An accessible guide to the multivariate time series tools used in numerous real-world applications Multivariate Time Series Analysis: With R and Financial Applications is the much anticipated sequel coming from one of the most influential and prominent experts on the topic of time series.

The Chicago Guide to Writing about Multivariate Analysis, Second Edition

Автор: Miller Jane E.
Название: The Chicago Guide to Writing about Multivariate Analysis, Second Edition
ISBN: 0226527875 ISBN-13(EAN): 9780226527871
Издательство: Wiley
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Цена: 4158 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Suitable for those who needs to communicate complex research results, this title includes four new chapters that cover writing about interactions, writing about event history analysis, writing about multilevel models, and the "Goldilocks principle" for choosing the right size contrast for interpreting results for different variables.

Analysis of Multivariate and High-Dimensional Data

Автор: Koch
Название: Analysis of Multivariate and High-Dimensional Data
ISBN: 0521887933 ISBN-13(EAN): 9780521887939
Издательство: Cambridge Academ
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Цена: 6556 р.
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Описание: 'Big data' poses challenges that require both classical multivariate methods and contemporary techniques from machine learning and engineering. This modern text equips you for the new world - integrating the old and the new, fusing theory and practice and bridging the gap to statistical learning. The theoretical framework includes formal statements that set out clearly the guaranteed 'safe operating zone' for the methods and allow you to assess whether data is in the zone, or near enough. Extensive examples showcase the strengths and limitations of different methods with small classical data, data from medicine, biology, marketing and finance, high-dimensional data from bioinformatics, functional data from proteomics, and simulated data. High-dimension low-sample-size data gets special attention. Several data sets are revisited repeatedly to allow comparison of methods. Generous use of colour, algorithms, Matlab code, and problem sets complete the package. Suitable for master's/graduate students in statistics and researchers in data-rich disciplines.

Applied Multivariate Statistical Analysis

Автор: H?rdle
Название: Applied Multivariate Statistical Analysis
ISBN: 3540030794 ISBN-13(EAN): 9783540030799
Издательство: Springer
Цена: 7832 р.
Наличие на складе: Поставка под заказ.

An R and S-Plus® Companion to Multivariate Analysis

Автор: Everitt
Название: An R and S-Plus® Companion to Multivariate Analysis
ISBN: 1852338822 ISBN-13(EAN): 9781852338824
Издательство: Springer
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Цена: 8359 р.
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Описание: Methods of multivariate analysis and the use of a suitable software package such as S-PLUS or RT are required to examine the multivariate data sets collected by researchers. This book covers the multivariate methodology along with some basic theory for each method described. It also gives the necessary R and S-PLUS code for each analysis.

Multivariate Geostatistics

Автор: Wackernagel
Название: Multivariate Geostatistics
ISBN: 3540441425 ISBN-13(EAN): 9783540441427
Издательство: Springer
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Цена: 10449 р.
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Описание: This book presents an introduction to geostatistics stressing the multivariate aspects for scientists, engineers or statisticians. Geostatistics offers a variety of models, methods and techniques for the analysis, estimation and display of multivariate data distributed in space or time. This book presents a brief review of statistical concepts, a detailed introduction to linear geostatistics and an account of three basic methods of multivariate analysis. The third edition of this very successful textbook contains an advanced presentation of linear models for multivariate spatial or temporal data, of nonlinear models and methods for selection problems with change of suppport as well as an introduction to non-stationary geostatistics with special focus on the external drift method. Applications from very different areas of science, as well as exercises with solutions, are provided to help convey the general ideas.

Multivariate Taxometric Procedures

Автор: Waller N & Meehl P
Название: Multivariate Taxometric Procedures
ISBN: 0761902570 ISBN-13(EAN): 9780761902577
Издательство: Sage Publications
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Цена: 9893 р.
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Описание: Can taxometric procedures be used to distinguish types (species, latent classes, taxa) from continua (dimensions, latent traits, factors); and, if so, how? Aimed at demystifying this process, Waller and Meehl unpack Meehl`s work on the MAXCOV-HITMAX procedure to reveal the underlying rationale of MAXCOV in simple terms and show how this technique can be profitably used in a variety of disciplines by researchers in their taxonomic work.

Multivariate Statistical Methods: A Primer, Third Edition

Автор: Manly, Bryan F.J.
Название: Multivariate Statistical Methods: A Primer, Third Edition
ISBN: 1584884142 ISBN-13(EAN): 9781584884149
Издательство: Taylor&Francis
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Цена: 4503 р.
Наличие на складе: Поставка под заказ.

Описание: Multivariate methods are now widely used by scientists in quantitative sciences and statistics due to the ready availability of computer packages for performing the calculations. Access to suitable computer software is essential to using these methods, however a working knowledge of how multivariate statistical methods can be used is a prerequisite to the use of any brand of software. Multivariate Statistical Methods: A Primer introduces the methods to non-mathematicians and provides a general overview without overwhelming the novice with comprehensive details.This third edition is a thoroughly revised, updated edition of a best-selling introductory textbook and primer. It retains the author's trademark clear, concise style and focuses on examples in the biological and environmental sciences. Topics new to this edition include confirmatory factor analysis, the use of mixture models for cluster analysis, and the emerging techniques of data mining and neural networks. While not linked to any specific software package, the book now includes an appendix comparing and contrasting various statistical software packages, such as Stata, Statistica, SAS, and Genstat. The author also notes which software was used for a particar example, when appropriate.In his efforts to produce a book that is as short as possible and that enables you to begin to use multivariate methods in an intelligent manner, the author has produced a succinct and handy reference. With updated information on multivariate analyses, new examples using the latest software, and updated references, this book will bring you up to speed with useful tools for statistical analysis.

Aspects of Multivariate Statistical Theory

Автор: Robb J. Muirhead
Название: Aspects of Multivariate Statistical Theory
ISBN: 0471769851 ISBN-13(EAN): 9780471769859
Издательство: Wiley
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Цена: 13398 р.
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Описание: "Aspects of Multivariate Statistical Theory" presents a classical mathematical treatment of the techniques, distributions, and inferences based on multivariate normal distribution. Noncentral distribution theory, decision theoretic estimation of the parameters of a multivariate normal distribution, and the uses of spherical and elliptical distributions in multivariate analysis are introduced. Advances in multivariate analysis are discussed, including decision theory and robustness. The book also includes tables of percentage points of many of the standard likelihood statistics used in multivariate statistical procedures. This definitive resource provides in-depth discussion of the multivariate field and serves admirably as both a textbook and reference.

Topics in Multivariate Approximation and Interpolation,12

Автор: Kurt Jetter
Название: Topics in Multivariate Approximation and Interpolation,12
ISBN: 0444518444 ISBN-13(EAN): 9780444518446
Издательство: Elsevier Science
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Цена: 18810 р.
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Описание: A collection of eleven articles, which deal with special topics in Multivariate Approximation and Interpolation. The material discussed here has applications in many areas of Applied Mathematics, such as in Computer Aided Geometric Design, in Mathematical Modelling, in Signal and Image Processing and in Machine Learning, to mention a few.

Mathematical Tools For Applied Multivariate Analysis Revised Edit

Автор: Carroll Et Al
Название: Mathematical Tools For Applied Multivariate Analysis Revised Edit
ISBN: 0121609545 ISBN-13(EAN): 9780121609542
Издательство: Elsevier Science
Цена: 10549 р.
Наличие на складе: Невозможна поставка.

Описание: Illustrates major concepts in matrix algebra, linear structures, and eigenstructures geometrically, numerically, and algebraically. This book emphasizes the applications of these techniques by discussing potential solutions to problems outlined. It also presents small numerical examples of the various concepts.


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