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Statistical Methods for Overdispersed Count Data, Dupuy, Jean-Fran?ois


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Автор: Dupuy, Jean-Fran?ois
Название:  Statistical Methods for Overdispersed Count Data
Перевод названия: Жан Франсуа Дюпюи: Статистические методы для сверхдисперсных данных подсчета
ISBN: 9781785482663
Издательство: Elsevier Science
Классификация:


ISBN-10: 1785482661
Обложка/Формат: Hardback
Страницы: 160
Вес: 0.40 кг.
Дата издания: 01.05.2018
Язык: English
Размер: 159 x 235 x 17
Основная тема: ISTE Life Science
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание:

Statistical Methods for Overdispersed Count Data provides a review of the most recent methods and models for such data, including a description of R functions and packages that allow their implementation. All methods are illustrated on datasets arising in the field of health economics. As several tools have been developed to tackle over-dispersed and zero-inflated data (such as adjustment methods and zero-inflated models), this book covers the topic in a comprehensive and interesting manner.

  • Includes reading on several levels, including methodology and applications
  • Presents the state-of-the-art on the most recent zero-inflated regression models
  • Contains a single dataset that is used as a common thread for illustrating all methodologies
  • Includes R code that allows the reader to apply methodologies



Data Analysis Using Stata, Third Edition

Автор: Kohler
Название: Data Analysis Using Stata, Third Edition
ISBN: 1597181102 ISBN-13(EAN): 9781597181105
Издательство: Taylor&Francis
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Цена: 11176.00 р.
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Описание:

Data Analysis Using Stata, Third Edition is a comprehensive introduction to both statistical methods and Stata. Beginners will learn the logic of data analysis and interpretation and easily become self-sufficient data analysts. Readers already familiar with Stata will find it an enjoyable resource for picking up new tips and tricks.

The book is written as a self-study tutorial and organized around examples. It interactively introduces statistical techniques such as data exploration, description, and regression techniques for continuous and binary dependent variables. Step by step, readers move through the entire process of data analysis and in doing so learn the principles of Stata, data manipulation, graphical representation, and programs to automate repetitive tasks. This third edition includes advanced topics, such as factor-variables notation, average marginal effects, standard errors in complex survey, and multiple imputation in a way, that beginners of both data analysis and Stata can understand.

Using data from a longitudinal study of private households, the authors provide examples from the social sciences that are relatable to researchers from all disciplines. The examples emphasize good statistical practice and reproducible research. Readers are encouraged to download the companion package of datasets to replicate the examples as they work through the book. Each chapter ends with exercises to consolidate acquired skills.

Statistical Methods for Astronomical Data Analysis

Автор: Asis Kumar Chattopadhyay; Tanuka Chattopadhyay
Название: Statistical Methods for Astronomical Data Analysis
ISBN: 1493915061 ISBN-13(EAN): 9781493915064
Издательство: Springer
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Цена: 13974.00 р.
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Описание: A unique feature is the inclusion of different possible sources of astronomical data, as well as software packages for converting the raw data into appropriate forms for data analysis.

Statistical Data Analysis Based on the L1-Norm and Related Methods

Автор: Yadolah Dodge
Название: Statistical Data Analysis Based on the L1-Norm and Related Methods
ISBN: 3034894724 ISBN-13(EAN): 9783034894722
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This volume contains a selection of invited papers, presented to the fourth International Conference on Statistical Data Analysis Based on the L1-Norm and Related Methods, held in Neuchatel, Switzerland, from August 4-9, 2002.

Statistical Methods for Ranking Data

Автор: Mayer Alvo; Philip L.H. Yu
Название: Statistical Methods for Ranking Data
ISBN: 1493947818 ISBN-13(EAN): 9781493947812
Издательство: Springer
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Цена: 11878.00 р.
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Описание: This book introduces advanced undergraduate, graduate students and practitioners to statistical methods for ranking data.

Statistical Methods for Microarray Data Analysis

Автор: Andrei Y. Yakovlev; Lev Klebanov; Daniel Gaile
Название: Statistical Methods for Microarray Data Analysis
ISBN: 1493950797 ISBN-13(EAN): 9781493950799
Издательство: Springer
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Цена: 16769.00 р.
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Описание: In Statistical Methods for Microarray Data Analysis: Methods and Protocols, expert researchers in the field detail many methods and techniques used to study microarrays, guiding the reader from microarray technology to statistical problems of specific multivariate data analysis.

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.

Statistical Methods for Ranking Data

Автор: Mayer Alvo; Philip L.H. Yu
Название: Statistical Methods for Ranking Data
ISBN: 1493914707 ISBN-13(EAN): 9781493914708
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This book introduces advanced undergraduate, graduate students and practitioners to statistical methods for ranking data.

Advanced Statistical Methods for the Analysis of Large Data-Sets

Автор: Agostino Di Ciaccio; Mauro Coli; Jose Miguel Angul
Название: Advanced Statistical Methods for the Analysis of Large Data-Sets
ISBN: 3642443400 ISBN-13(EAN): 9783642443404
Издательство: Springer
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Цена: 22359.00 р.
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Описание: The book includes 45 papers from a selection of the 156 papers accepted for presentation and discussed at the conference on "Advanced Statistical Methods for the Analysis of Large Data-sets."

Foundations and Methods in Combinatorial and Statistical Data Analysis and Clustering

Автор: Isra?l C?sar Lerman
Название: Foundations and Methods in Combinatorial and Statistical Data Analysis and Clustering
ISBN: 1447167910 ISBN-13(EAN): 9781447167914
Издательство: Springer
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Цена: 23058.00 р.
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Описание: Preface.- On Some Facets of the Partition Set of a Finite Set.- Two Methods of Non-hierarchical Clustering.- Structure and Mathematical Representation of Data.- Ordinal and Metrical Analysis of the Resemblance Notion.- Comparing Attributes by a Probabilistic and Statistical Association I.- Comparing Attributes by a Probabilistic and Statistical Association II.- Comparing Objects or Categories Described by Attributes.- The Notion of "Natural" Class, Tools for its Interpretation. The Classifiability Concept.- Quality Measures in Clustering.- Building a Classification Tree.- Applying the LLA Method to Real Data.- Conclusion and Thoughts for Future Works

Statistical Methods for Imbalanced Data in Ecology and Biology

Автор: Osamu Komori; Shinto Eguchi
Название: Statistical Methods for Imbalanced Data in Ecology and Biology
ISBN: 4431555692 ISBN-13(EAN): 9784431555698
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book presents a fresh, new approach in that it provides a comprehensive recent review of challenging problems caused by imbalanced data in prediction and classification, and also in that it introduces several of the latest statistical methods of dealing with these problems.

Statistical Methods Of Geophysical Data Processing

Автор: Troyan Vladimir & Kiselev Yurii
Название: Statistical Methods Of Geophysical Data Processing
ISBN: 9814293741 ISBN-13(EAN): 9789814293747
Издательство: World Scientific Publishing
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Цена: 22968.00 р.
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Описание: Contains a consideration of the wide field of problems connected with statistical methods of processing of observed data, with the main examples and considered models related to geophysics and seismic exploration. This textbook includes many important topics, which are the basis for statistical methods of estimation and inverse problem solutions.


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