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Multivariate T-Distributions and Their Applications, Samuel Kotz



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Цена: 9202р.
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Автор: Samuel Kotz
Название:  Multivariate T-Distributions and Their Applications   (Многомерные t-распределения и их применения)
Издательство: Cambridge Academ
Классификация:
Вероятность и статистика

ISBN: 0521826543
ISBN-13(EAN): 9780521826549
ISBN: 0-521-82654-3
ISBN-13(EAN): 978-0-521-82654-9
Обложка/Формат: Hardback
Страницы: 284
Вес: 0.52 кг.
Дата издания: 16/02/2004
Язык: English
Иллюстрации: Illustrations
Размер: 238 x 162 x 24
Читательская аудитория: Professional & Vocational
Ссылка на Издательство: Link
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Поставляется из: Англии
Описание: Almost all the results available in the literature on multivariate t-distributions published in the last 50 years are now collected together in this comprehensive reference. Because these distributions are becoming more prominent in many applications, this book is a must for any serious researcher or consultant working in multivariate analysis and statistical distributions. Much of this material has never before appeared in book form.

The first part of the book emphasizes theoretical results of a probabilistic nature. In the second part of the book, these are supplemented by a variety of statistical aspects. Various generalizations and applications are dealt with in the final chapters.

The material on estimation and regression models is of special value for practitioners in statistics and economics. A comprehensive bibliography of over 350 references is included.

Дополнительное описание: Subject: Mathematics / Statistics and Applied Probability
Readership: statistics, economics, engineering, physics
Level: graduate students, professionals, academic researchers
Format: 228 x 152 mm 284pp





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.
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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.
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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.

Discrete Distributions: Applications in the Health Sciences

Автор: Daniel Zelterman
Название: Discrete Distributions: Applications in the Health Sciences
ISBN: 0470868880 ISBN-13(EAN): 9780470868881
Издательство: Wiley
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Цена: 10915 р.
Наличие на складе: Поставка под заказ.

Описание: There have been many advances in the theory and applications of discrete distributions in recent years. They can be applied to a wide range of problems, particularly in the health sciences, although a good understanding of their properties is very important. Discrete Distributions: Applications in the Health Sciences describes a number of new discrete distributions that arise in the statistical examination of real examples. For each example, an understanding of the issues surrounding the data provides the motivation for the subsequent development of the statistical models. Provides an overview of discrete distributions and their applications in the health sciences. Focuses on real examples, giving readers an insight into the utility of the models. Describes the properties of each distribution, and the methods that led to their development. Presents a range of examples from the health sciences, including cancer, epidemiology, and demography. Features discussion of software implementation -- in SAS, Fortran and R -- enabling readers to apply the methods to their own problems. Written in an accessible style, suitable for applied statisticians and numerate health scientists. Software and data sets are made available on the Web. Discrete Distributions: Applications in the Health Sciences provides a practical introduction to these powerful statistical tools and their applications, suitable for researchers and graduate students from statistics and biostatistics. The focus on applications, and the accessible style of the book, make it an excellent practical reference source for practitioners from the health sciences.

Limit Distributions for Sums of Independent Random Vectors: Heavy Tails in Theory and Practice

Автор: Mark M. Meerschaert
Название: Limit Distributions for Sums of Independent Random Vectors: Heavy Tails in Theory and Practice
ISBN: 0471356298 ISBN-13(EAN): 9780471356295
Издательство: Wiley
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Цена: 18134 р.
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Описание: This book provides an accessible, serious, and multivariate introduction to the central limit theorem of random variables that lies at the heart of probability and statistics. Practical applications of stable random variables are showcased.

Statistical Distributions, 3rd Edition

Автор: Merran Evans
Название: Statistical Distributions, 3rd Edition
ISBN: 0471371246 ISBN-13(EAN): 9780471371243
Издательство: Wiley
Цена: 7334 р.
Наличие на складе: Поставка под заказ.

Описание: Dealing with 39 of the major probability distributions, the introductory chapters of this text introduce the fundamental concepts of the distributions and the relationships between variables. For each distribution that follows, the key formulae, tables and diagrams are presented.

Continuous Multivariate Distributions, Volume 1, Models and Applications, 2nd Edition

Автор: Samuel Kotz
Название: Continuous Multivariate Distributions, Volume 1, Models and Applications, 2nd Edition
ISBN: 0471183873 ISBN-13(EAN): 9780471183877
Издательство: Wiley
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Цена: 25295 р.
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Описание: Continuous Multivariate Distributions, Volume 1, Second Edition provides a remarkably comprehensive, self-contained resource for this critical statistical area. It covers all significant advances that have occurred in the field over the past quarter century in the theory, methodology, inferential procedures, computational and simulational aspects, and applications of continuous multivariate distributions. In-depth coverage includes MV systems of distributions, MV normal, MV exponential, MV extreme value, MV beta, MV gamma, MV logistic, MV Liouville, and MV Pareto distributions, as well as MV natural exponential families, which have grown immensely since the 1970s. Each distribution is presented in its own chapter along with descriptions of real-world applications gleaned from the current literature on continuous multivariate distributions and their applications.

Probability Distributions Involving Gaussian Random Variables / A Handbook for Engineers and Scientists

Автор: Simon Marvin K., Riedel Eibe
Название: Probability Distributions Involving Gaussian Random Variables / A Handbook for Engineers and Scientists
ISBN: 0387346570 ISBN-13(EAN): 9780387346571
Издательство: Springer
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Цена: 7314 р.
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Описание: This handbook brings together a comprehensive collection of mathematical material in one location. It also offers a variety of new results interpreted in a form that is particularly useful to engineers, scientists, and applied mathematicians.

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.

Random Matrix Theory And Its Applications: Multivariate Statistics And Wireless Communications

Автор: Bai Zhidong Et Al
Название: Random Matrix Theory And Its Applications: Multivariate Statistics And Wireless Communications
ISBN: 9814273112 ISBN-13(EAN): 9789814273114
Издательство: World Scientific Publishing
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Цена: 8743 р.
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Описание: Random matrix theory has a long history, beginning in the first instance in multivariate statistics. It was used by Wigner to supply explanations for the important regularity features of the apparently random dispositions of the energy levels of heavy nuclei. This title contains chapters which serve as an introduction into this area of research.

A Primer on Statistical Distributions

Автор: N. Balakrishnan
Название: A Primer on Statistical Distributions
ISBN: 0471427985 ISBN-13(EAN): 9780471427988
Издательство: Wiley
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Цена: 15824 р.
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Описание: Introducing the perfect, all-in-one primer on statistical distributions Statistical distributions, along with their properties and interrelationships, are a central part of advanced statistics. However, most statistics textbooks only devote a few chapters to basic statistical distributions such as binomial, Poisson, exponential, and normal and stop short of covering other important distributions geared toward upper-level statistics courses. That's where A Primer on Statistical Distributions makes its mark. Specifically tailored to the introductory course on statistical distributions, this unmatched resource takes a more balanced, all-inclusive approach than similar texts. In page after page, you'll find a valuable review of often-overlooked distributions, including geometric, negative binomial, hypergeometric, Pareto, beta, gamma, chi-square, logistic, Cauchy, Laplace, extreme value, multinomial, Dirichlet, and multivariate normal. A Primer on Statistical Distributions begins with an informative first chapter on preliminary notations, definitions, and the concepts that are necessary to work effectively with distributions. The basic topics covered in this intductory chapter include distribution types, generating functions, shape characteristics, entropy, random vectors, conditional distributions, and regressions. Subsequent chapters are divided into three parts: discrete distributions, continuous distributions, and multivariate distributions. Each chapter includes many skill-building exercises that provide a helpful review of the material just discussed. And the book also contains an appendix with engaging biographical sketches of some of the leading minds behind the development of statistical distributions theory. A Primer on Statistical Distributions is not only ideal for students and professionals in statistics, it can also benefit individuals in applied areas such as psychology, geography, economics, and engineering, and even professionals in need of a logically organized, comprehensive reference to statistical distributions. It all adds up to a text that no one utilizing statistical distributions should be without.

Univariate Discrete Distributions, 3rd Edition

Автор: Norman L. Johnson
Название: Univariate Discrete Distributions, 3rd Edition
ISBN: 0471272469 ISBN-13(EAN): 9780471272465
Издательство: Wiley
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Цена: 25295 р.
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Описание: The Third Edition of the critically acclaimed "Univariate Discrete Distributions" addresses the latest advances in discrete distributions theory. New distributions, including q-series and generalized zeta-function distributions, are explored in detail. New families of distributions, including Lagrangian-type distributions, have been integrated into this thoroughly revised and updated text. In addition, new applications of univariate discrete distributions, including sports applications, have been added to demonstrate the flexibility of this powerful method. Throughout the Third Edition, extensive information has been added to reflect the new role of computer-based applications. With its thorough coverage and balanced presentation of theory and application, this is an excellent graduate-level textbook and essential reference for statisticians and mathematicians.

Handbook of Fitting Statisitical Distributions with R

Автор: Zaven A. Karian and Edward J. Dudewicz
Название: Handbook of Fitting Statisitical Distributions with R
ISBN: 1584887117 ISBN-13(EAN): 9781584887119
Издательство: Taylor&Francis
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Цена: 15708 р.
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Описание: Featuring examples taken from the scientific literature, this book provides statisticians and researchers across the physical and social sciences with methods for fitting continuous probability distributions. It presents families with wide-ranging applicability, including Johnson`s system, kappa distribution, and generalized lambda distribution.


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