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Handbook of Statistical Data Editing and Imputation, de Waal


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Цена: 166790.00T
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Автор: de Waal
Название:  Handbook of Statistical Data Editing and Imputation
ISBN: 9780470542804
Издательство: Wiley
Классификация:

ISBN-10: 0470542802
Обложка/Формат: Hardback
Страницы: 456
Вес: 0.83 кг.
Дата издания: 01.03.2011
Серия: Wiley handbooks in survey methodology
Язык: English
Иллюстрации: Illustrations
Размер: 161 x 238 x 29
Читательская аудитория: Professional & vocational
Ключевые слова: Mathematics
Основная тема: Survey Research Methods & Sampling
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Англии
Описание: A practical, one-stop reference on the theory and applications of statistical data editing and imputation techniques Collected survey data are vulnerable to error. In particular, the data collection stage is a potential source of errors and missing values.

Handbook of Neuroimaging Data Analysis

Автор: Ombao, H.
Название: Handbook of Neuroimaging Data Analysis
ISBN: 1482220970 ISBN-13(EAN): 9781482220971
Издательство: Taylor&Francis
Рейтинг:
Цена: 193950.00 T
Наличие на складе: Невозможна поставка.
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. Designed for researchers in statistics, biostatistics, computer science, cognitive science, computer engineering, biomedical engineering, applied mathematics, physics, and radiology, the book can also be used as a textbook for graduate-level courses in statistics and biostatistics or as a self-study reference for Ph.D. students in statistics, biostatistics, psychology, neuroscience, and computer science.

Handbook of Cluster Analysis

Название: Handbook of Cluster Analysis
ISBN: 1466551887 ISBN-13(EAN): 9781466551886
Издательство: Taylor&Francis
Рейтинг:
Цена: 224570.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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 Statistical Bioinformatics

Автор: Henry Horng-Shing Lu; Bernhard Sch?lkopf; Hongyu Z
Название: Handbook of Statistical Bioinformatics
ISBN: 3642268277 ISBN-13(EAN): 9783642268274
Издательство: Springer
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Цена: 269260.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Numerous fascinating breakthroughs in biotechnology have generated large volumes and diverse types of high throughput data that demand the development of efficient and appropriate tools in computational statistics integrated with biological knowledge and computational algorithms.

A Handbook of Statistical Analyses using R, Third Edition

Автор: Hothorn
Название: A Handbook of Statistical Analyses using R, Third Edition
ISBN: 1482204584 ISBN-13(EAN): 9781482204582
Издательство: Taylor&Francis
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Цена: 69410.00 T
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Описание:

Like the best-selling first two editions, A Handbook of Statistical Analyses using R, Third Edition provides an up-to-date guide to data analysis using the R system for statistical computing. The book explains how to conduct a range of statistical analyses, from simple inference to recursive partitioning to cluster analysis.

New to the Third Edition

  • Three new chapters on quantile regression, missing values, and Bayesian inference
  • Extra material in the logistic regression chapter that describes a regression model for ordered categorical response variables
  • Additional exercises
  • More detailed explanations of R code
  • New section in each chapter summarizing the results of the analyses
  • Updated version of the HSAUR package (HSAUR3), which includes some slides that can be used in introductory statistics courses

Whether you're a data analyst, scientist, or student, this handbook shows you how to easily use R to effectively evaluate your data. With numerous real-world examples, it emphasizes the practical application and interpretation of results.



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