Advances in Data Analysis

ISBN 10: 0817647988 / ISBN 13: 9780817647988

Published by Springer, 2009

About this Item

pp. 390.

Seller Inventory # 26970330

Bibliographic Details

• Title: Advances in Data Analysis
• Publisher: Springer
• Publication Date: 2009
• Language: English
• ISBN 10: 0817647988
• ISBN 13: 9780817647988
• Binding: Hardcover
• Condition: New

About this title

Synopsis

An outgrowth of the 12^th International Conference on Applied Stochastic Models and Data Analysis, this book is a collection of invited chapters presenting recent developments in the field of data analysis, with applications to reliability and inference, data mining, bioinformatics, lifetime data, and neural networks.

Emphasized throughout the volume are new methods with the potential for solving real-world problems in various areas, including data mining and text mining, information theory and statistical applications, asymptotic behaviour of stochastic processes and random fields, bioinformatics and Markov chains, life table data, survival analysis, and risk in household insurance, neural networks and self-organizing maps, parametric and nonparametric statistics, and statistical theory and methods.

Advances in Data Analysis is a useful reference for graduate students, researchers, and practitioners in statistics, mathematics, engineering, economics, social science, bioengineering, and bioscience.

From the Back Cover

An outgrowth of the 12^th International Conference on Applied Stochastic Models and Data Analysis, this book is a collection of invited chapters presenting recent developments in the field of data analysis, with applications to reliability and inference, data mining, bioinformatics, lifetime data, and neural networks. Emphasized throughout the volume are new methods with the potential for solving real-world problems in various areas.

The book is divided into eight major sections:

* Data Mining and Text Mining

* Information Theory and Statistical Applications

* Asymptotic Behaviour of Stochastic Processes and Random Fields

* Bioinformatics and Markov Chains

* Life Table Data, Survival Analysis, and Risk in Household Insurance

* Neural Networks and Self-Organizing Maps

* Parametric and Nonparametric Statistics

* Statistical Theory and Methods

 

Advances in Data Analysis is a useful reference for graduate students, researchers, and practitioners in statistics, mathematics, engineering, economics, social science, bioengineering, and bioscience.