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Multivariate Statistical Methods, Marcoulides, George A.


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Автор: Marcoulides, George A.
Название:  Multivariate Statistical Methods
ISBN: 9780805825718
Издательство: Taylor&Francis
Классификация:


ISBN-10: 0805825711
Обложка/Формат: Hardback
Страницы: 334
Вес: 0.73 кг.
Дата издания: 01.02.1997
Язык: English
Размер: 238 x 151 x 26
Читательская аудитория: Undergraduate
Подзаголовок: A first course
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Поставляется из: Европейский союз


The Elements of Statistical Learning

Автор: Trevor Hastie; Robert Tibshirani; Jerome Friedman
Название: The Elements of Statistical Learning
ISBN: 0387848576 ISBN-13(EAN): 9780387848570
Издательство: Springer
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Цена: 10480.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This major new edition features many topics not covered in the original, including graphical models, random forests, and ensemble methods. As before, it covers the conceptual framework for statistical data in our rapidly expanding computerized world.

Multivariate Statistical Methods

Автор: Marcoulides, George A.
Название: Multivariate Statistical Methods
ISBN: 080582572X ISBN-13(EAN): 9780805825725
Издательство: Taylor&Francis
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Цена: 5664.00 р.
Наличие на складе: Поставка под заказ.

Modern Statistical Methods for Spatial and Multivariate Data

Автор: Norou Diawara
Название: Modern Statistical Methods for Spatial and Multivariate Data
ISBN: 3030114309 ISBN-13(EAN): 9783030114305
Издательство: Springer
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Цена: 11878.00 р.
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Описание:

This contributed volume features invited papers on current models and statistical methods for spatial and multivariate data. With a focus on recent advances in statistics, topics include spatio-temporal aspects, classification techniques, the multivariate outcomes with zero and doubly-inflated data, discrete choice modelling, copula distributions, and feasible algorithmic solutions. Special emphasis is placed on applications such as the use of spatial and spatio-temporal models for rainfall in South Carolina and the multivariate sparse areal mixed model for the Census dataset for the state of Iowa. Articles use simulated and aggregated data examples to show the flexibility and wide applications of proposed techniques.
Carefully peer-reviewed and pedagogically presented for a broad readership, this volume is suitable for graduate and postdoctoral students interested in interdisciplinary research. Researchers in applied statistics and sciences will find this book an important resource on the latest developments in the field. In keeping with the STEAM-H series, the editors hope to inspire interdisciplinary understanding and collaboration.
Multivariate Statistical Methods in Physical Anthropology

Автор: G.N. van Vark; W.W. Howells
Название: Multivariate Statistical Methods in Physical Anthropology
ISBN: 9027717346 ISBN-13(EAN): 9789027717344
Издательство: Springer
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Цена: 16764.00 р.
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Описание: Invited were mathematical statisticians who were known to have an acquaintance with and interest in anthropological problems, together with anthropologists and human geneticists who consider multivariate methodology essential for their research.

Multivariate Dependencies

Автор: Cox, D.R. , Wermuth, Nanny
Название: Multivariate Dependencies
ISBN: 0367401371 ISBN-13(EAN): 9780367401375
Издательство: Taylor&Francis
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Цена: 9798.00 р.
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Описание:

Large observational studies involving research questions that require the measurement of several features on each individual arise in many fields including the social and medical sciences. This book sets out both the general concepts and the more technical statistical issues involved in analysis and interpretation. Numerous illustrative examples are described in outline and four studies are discussed in some detail.

The use of graphical representations of dependencies and independencies among the features under study is stressed, both to incorporate available knowledge at the planning stage of an analysis and to summarize aspects important for interpretation after detailed statistical analysis is complete. This book is aimed at research workers using statistical methods as well as statisticians involved in empirical research.

Eco-stats - data analysis in ecology

Автор: Warton, David I
Название: Eco-stats - data analysis in ecology
ISBN: 3030884422 ISBN-13(EAN): 9783030884420
Издательство: Springer
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Цена: 16769.00 р.
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Описание: This book introduces ecologists to the wonderful world of modern tools for data analysis, especially multivariate analysis. For biologists with relatively little prior knowledge of statistics, it introduces a modern, advanced approach to data analysis in an intuitive and accessible way.

Topological and Statistical Methods for Complex Data

Автор: Janine Bennett; Fabien Vivodtzev; Valerio Pascucci
Название: Topological and Statistical Methods for Complex Data
ISBN: 3662513706 ISBN-13(EAN): 9783662513705
Издательство: Springer
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Цена: 16769.00 р.
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Описание: This book contains papers presented at the Workshop on the Analysis of Large-scale, High-Dimensional, and Multi-Variate Data Using Topology and Statistics, held in Le Barp, France, June 2013.

Multivariate Statistical Machine Learning Methods for Genomic Prediction

Автор: Montesinos Lуpez Osval Antonio, Montesinos Lуpez Abelardo, Crossa Josй
Название: Multivariate Statistical Machine Learning Methods for Genomic Prediction
ISBN: 3030890090 ISBN-13(EAN): 9783030890094
Издательство: Springer
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Цена: 5589.00 р.
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Описание: It provides an accessible way to understand the theory behind each statistical learning tool, the required pre-processing, the basics of model building, how to train statistical learning methods, the basic R scripts needed to implement each statistical learning tool, and the output of each tool.

Multivariate Statistical Machine Learning Methods for Genomic Prediction

Автор: Montesinos Lуpez Osval Antonio, Montesinos Lуpez Abelardo, Crossa Josй
Название: Multivariate Statistical Machine Learning Methods for Genomic Prediction
ISBN: 3030890120 ISBN-13(EAN): 9783030890124
Издательство: Springer
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Цена: 5589.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: It provides an accessible way to understand the theory behind each statistical learning tool, the required pre-processing, the basics of model building, how to train statistical learning methods, the basic R scripts needed to implement each statistical learning tool, and the output of each tool.

Robust and Multivariate Statistical Methods

Автор: Yi
Название: Robust and Multivariate Statistical Methods
ISBN: 3031226860 ISBN-13(EAN): 9783031226861
Издательство: Springer
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Цена: 25155.00 р.
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Описание: This book presents recent developments in multivariate and robust statistical methods. Featuring contributions by leading experts in the field it covers various topics, including multivariate and high-dimensional methods, time series, graphical models, robust estimation, supervised learning and normal extremes. It will appeal to statistics and data science researchers, PhD students and practitioners who are interested in modern multivariate and robust statistics. The book is dedicated to David E. Tyler on the occasion of his pending retirement and also includes a review contribution on the popular Tyler’s shape matrix.

Multivariate Statistical Methods

Автор: Manly Bryan F.J.
Название: Multivariate Statistical Methods
ISBN: 1498728960 ISBN-13(EAN): 9781498728966
Издательство: Taylor&Francis
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Цена: 8726.00 р.
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Описание:

Multivariate Statistical Methods: A Primer provides an introductory overview of multivariate methods without getting too deep into the mathematical details. This fourth edition is a revised and updated version of this bestselling introductory textbook. It retains the clear and concise style of the previous editions of the book and focuses on examples from biological and environmental sciences. The major update with this edition is that R code has been included for each of the analyses described, although in practice any standard statistical package can be used.

The original idea with this book still applies. This was to make it as short as possible and enable readers to begin using multivariate methods in an intelligent manner. With updated information on multivariate analyses, new references, and R code included, this book continues to provide a timely introduction to useful tools for multivariate statistical analysis.

Topological and Statistical Methods for Complex Data

Автор: Janine Bennett; Fabien Vivodtzev; Valerio Pascucci
Название: Topological and Statistical Methods for Complex Data
ISBN: 3662448998 ISBN-13(EAN): 9783662448991
Издательство: Springer
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Цена: 19564.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book contains papers presented at the Workshop on the Analysis of Large-scale, High-Dimensional, and Multi-Variate Data Using Topology and Statistics, held in Le Barp, France, June 2013.


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