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Handbook of Statistical Analysis, Nisbet, Robert


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Автор: Nisbet, Robert
Название:  Handbook of Statistical Analysis
ISBN: 9780443158452
Издательство: Elsevier Science
Классификация:




ISBN-10: 0443158452
Обложка/Формат: Paperback
Страницы: 650
Вес: 0.45 кг.
Дата издания: 16.09.2024
Издание: 3 ed
Размер: 216 x 280 x 20
Подзаголовок: AI and ML Applications
Ссылка на Издательство: Link
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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: 69870.00 T
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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.

Time Series Analysis by State Space Methods

Автор: Durbin, James; Koopman, Siem Jan
Название: Time Series Analysis by State Space Methods
ISBN: 019964117X ISBN-13(EAN): 9780199641178
Издательство: Oxford Academ
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Цена: 126720.00 T
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Описание: This new edition updates Durbin & Koopman`s important text on the state space approach to time series analysis providing a more comprehensive treatment, including the filtering of nonlinear and non-Gaussian series. The book provides an excellent source for the development of practical courses on time series analysis.

Handbook of Cluster Analysis

Название: Handbook of Cluster Analysis
ISBN: 1466551887 ISBN-13(EAN): 9781466551886
Издательство: Taylor&Francis
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Цена: 224570.00 T
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Описание:

Handbook of Cluster Analysis provides a comprehensive and unified account of the main research developments in cluster analysis. Written by active, distinguished researchers in this area, the book helps readers make informed choices of the most suitable clustering approach for their problem and make better use of existing cluster analysis tools.

The book is organized according to the traditional core approaches to cluster analysis, from the origins to recent developments. After an overview of approaches and a quick journey through the history of cluster analysis, the book focuses on the four major approaches to cluster analysis. These approaches include methods for optimizing an objective function that describes how well data is grouped around centroids, dissimilarity-based methods, mixture models and partitioning models, and clustering methods inspired by nonparametric density estimation. The book also describes additional approaches to cluster analysis, including constrained and semi-supervised clustering, and explores other relevant issues, such as evaluating the quality of a cluster.

This handbook is accessible to readers from various disciplines, reflecting the interdisciplinary nature of cluster analysis. For those already experienced with cluster analysis, the book offers a broad and structured overview. For newcomers to the field, it presents an introduction to key issues. For researchers who are temporarily or marginally involved with cluster analysis problems, the book gives enough algorithmic and practical details to facilitate working knowledge of specific clustering areas.


Handbook Of Design And Analysis Of

Автор: Dean
Название: Handbook Of Design And Analysis Of
ISBN: 1466504331 ISBN-13(EAN): 9781466504332
Издательство: Taylor&Francis
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Цена: 224570.00 T
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Описание:

Handbook of Design and Analysis of Experiments provides a detailed overview of the tools required for the optimal design of experiments and their analyses. The handbook gives a unified treatment of a wide range of topics, covering the latest developments.

This carefully edited collection of 25 chapters in seven sections synthesizes the state of the art in the theory and applications of designed experiments and their analyses. Written by leading researchers in the field, the chapters offer a balanced blend of methodology and applications.

The first section presents a historical look at experimental design and the fundamental theory of parameter estimation in linear models. The second section deals with settings such as response surfaces and block designs in which the response is modeled by a linear model, the third section covers designs with multiple factors (both treatment and blocking factors), and the fourth section presents optimal designs for generalized linear models, other nonlinear models, and spatial models. The fifth section addresses issues involved in designing various computer experiments. The sixth section explores "cross-cutting" issues relevant to all experimental designs, including robustness and algorithms. The final section illustrates the application of experimental design in recently developed areas.

This comprehensive handbook equips new researchers with a broad understanding of the field's numerous techniques and applications. The book is also a valuable reference for more experienced research statisticians working in engineering and manufacturing, the basic sciences, and any discipline that depends on controlled experimental investigation.


Applied Statistics

Автор: Snell
Название: Applied Statistics
ISBN: 0412353202 ISBN-13(EAN): 9780412353208
Издательство: Taylor&Francis
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Цена: 83690.00 T
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Описание: GENSTAT is a general purpose statistical computing system with a flexible command language operating on a variety of data structures. It may be used on a number of computer ranges, either interactively for exploratory data analysis, or in batch mode for standard data analysis.

The great flexibility of GENSTAT is demonstrated in this handbook by analysing the wide range of examples discussed in Applied Statistics - Principles and Examples (Cox and Snell, 1981). GENSTAT programs are listed for each of the examples. Most of the data sets are small but often it is these seemingly small problems which involve the most tricky statistical and computational procedures. This handbook is self-contained although for a full description of the analysis and interpretation it should be used in parallel with Applied Statistics - Principles and Examples.

Statistical Tables for Multivariate Analysis

Автор: Peter Wadsack; Heinz Kres
Название: Statistical Tables for Multivariate Analysis
ISBN: 1461256119 ISBN-13(EAN): 9781461256113
Издательство: Springer
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Цена: 111790.00 T
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Описание: An English translation of my "Statistisahe Tafeln zur multivariaten Analysis - Ein Handbuah mit Hinweisen zur Anwendung" was planned already in 1975 when I prepared the German volume. The tables were immediately supplied with German and English headings for the inten- ded photo-offset printing. In the meantime. new and important tables for multivariate statistiaal hypotheses and proaedures have been aompiled and published. Only four of them have been inaorporated in the present volume. The seleation of these tables must be on an individual basis for reasons of spaae. Let me mention only the new tables for sample size determination in MANOVA. The instruations for using the tables are all organized in the same way. They are kept short sinae it is not the task of suah a work to provide an introduation to the theory and praatiae of multivariate analysis. I have renounaed giving examples for the same reason. I wish instead to refer the reader to the many good textbooks that are avai- lable. as well as to my own works on methods that are in preparation. Furthermore. I am of the opinion that statistiaal tables should aaaom- pany the textbook rather than be inaluded in it. vii viii Finally, my thanks go to the translator, Mr. Peter R. Wadsack, as ell as to the ladies and gentlemen of Springer-Verlag for their pleasant collaboration and their indulgence of my numerous requests.

Handbook of Neuroimaging Data Analysis

Автор: Hernando Ombao, Martin Lindquist, Wesley Thompson, John Aston
Название: Handbook of Neuroimaging Data Analysis
ISBN: 0367330695 ISBN-13(EAN): 9780367330699
Издательство: Taylor&Francis
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Цена: 73490.00 T
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Описание: This book explores various state-of-the-art aspects behind the statistical analysis of neuroimaging data. It examines the development of novel statistical approaches to model brain data.

Statistical analysis handbook

Автор: De Smith, Michael John
Название: Statistical analysis handbook
ISBN: 1912556065 ISBN-13(EAN): 9781912556069
Издательство: Неизвестно
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Цена: 85770.00 T
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Applied Statistics

Автор: Snell, E. J. , Simpson, H.
Название: Applied Statistics
ISBN: 0367450631 ISBN-13(EAN): 9780367450632
Издательство: Taylor&Francis
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Цена: 44910.00 T
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Описание: This handbook aims to demonstrate the flexibility of Genstat by analysing the wide range of examples discussed in Applied Statistics: Principles and Examples. It shows how to reproduce the tables and results discussed in Applied Statistics.

Автор: John P. Klein, Hans C. van Houwelingen, Joseph G. Ibrahim, Thomas H. Scheike
Название: Handbook of Survival Analysis
ISBN: 0367330962 ISBN-13(EAN): 9780367330965
Издательство: Taylor&Francis
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Цена: 73490.00 T
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Описание: The book focuses on advances in survival analysis techniques, covering classical and Bayesian approaches. It gives a complete overview of the current status of survival analysis and should inspire further research in the field.

Handbook of Infectious Disease Data Analysis

Автор: Held Leonhard, Hens Niel, O`Neill Philip
Название: Handbook of Infectious Disease Data Analysis
ISBN: 1032087358 ISBN-13(EAN): 9781032087351
Издательство: Taylor&Francis
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Цена: 63280.00 T
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Описание: There are many books on infectious disease epidemiology with an emphasis on mathematical modelling, but less so on dataanalytic aspects. This provides a unique and comprehensive account of state-of-the-art methodology for analysis of infectious disease data.

Handbook of Meta-Analysis

Автор: Schmid Christopher H., Stijnen Theo, White Ian
Название: Handbook of Meta-Analysis
ISBN: 0367539683 ISBN-13(EAN): 9780367539689
Издательство: Taylor&Francis
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Цена: 65320.00 T
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Описание: Meta-analysis is the application of statistics to combine results from multiple studies and draw appropriate inferences. Its use and importance have exploded over the years as the need for a robust evidence base has become clear in many scientific areas like medicine and health, social sciences, education, psychology, ecology and economics.


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