Multivariate Statistical Meth In Quality, Yang

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.
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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.

Автор: Chacon
Название: Multivariate Kernel Smoothing And I
ISBN: 1498763014 ISBN-13(EAN): 9781498763011
Издательство: Taylor&Francis
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Цена: 13779.00 р.
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Описание: Kernel smoothing has greatly evolved since its inception to become an essential methodology in the Data Science tool kit for the 21st century. Its widespread adoption is due to its fundamental role for multivariate exploratory data analysis, as well as the crucial role it plays in composite solutions to complex data challenges.

Автор: Afifi
Название: Practical Multivariate Analysis, Si
ISBN: 1138702226 ISBN-13(EAN): 9781138702226
Издательство: Taylor&Francis
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Цена: 14086.00 р.
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Описание: This is the sixth edition of a popular textbook on multivariate analysis. Well-regarded for its practical and accessible approach, with excellent examples and good guidance on computing, the book is particularly popular for teaching outside statistics, i.e. in epidemiology, social science, business, etc.

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.

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: Нет в наличии.

Автор: Marcoulides, George A.
Название: Multivariate Statistical Methods
ISBN: 0805825711 ISBN-13(EAN): 9780805825718
Издательство: Taylor&Francis
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Цена: 13779.00 р.
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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.

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.
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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.

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.

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.

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.
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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.

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.