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Survival Analysis: Models and Applications book

  • Authors: Xian Liu
  • Published Date: Jul 20, 2012

Survival analysis concerns sequential occurrences of events governed by probabilistic laws.  Recent decades have witnessed many applications of survival analysis in various disciplines. This book...

Geostatistics: Modeling Spatial Uncertainty, 2nd Edition book

  • Authors: Jean-Paul Chiles, Pierre Delfiner
  • Published Date: Apr 19, 2012

Praise for the First Edition ". . . a readable, comprehensive volume that . . . belongs on the desk, close at hand, of any serious researcher or practitioner." —Mathematical Geosciences The state...

Agent-Based Computational Sociology book

  • Published Date: Mar 30, 2012

Foundations of Risk Analysis, 2nd Edition book

  • Authors: Terje Aven
  • Published Date: Mar 16, 2012

Foundations of Risk Analysis presents the issues core to risk analysis – understanding what risk means, expressing risk,  building risk models, addressing uncertainty, and applying...

Sampling, 3rd Edition book

  • Authors: Steven K. Thompson
  • Published Date: Mar 06, 2012

Praise for the Second Edition "This book has never had a competitor. It is the only book that takes a broad approach to sampling . . . any good personal statistics library should include a copy of...

Statistical and Managerial Techniques for Six Sigma Methodology: Theory and Application book

  • Authors: Stefano Barone, Eva Lo Franco
  • Published Date: Feb 23, 2012

Six Sigma methodology is a business management strategy which seeks to improve the quality of process output by identifying and removing the causes of errors and minimizing variability...

Introductory Statistics for the Behavioral Sciences, 7th Edition book

  • Authors: Joan Welkowitz, Barry H. Cohen, R. Brooke Lea
  • Published Date: Jan 27, 2012

A comprehensive and user-friendly introduction to statistics for behavioral science students—revised and updated Refined over seven editions by master teachers, this book gives instructors and...

An Introduction to Bootstrap Methods with Applications to R book

  • Authors: Michael R. Chernick, Robert A. LaBudde
  • Published Date: Dec 02, 2011

A comprehensive introduction to bootstrap methods in the R programming environment Bootstrap methods provide a powerful approach to statistical data analysis, as they have more general applications...

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