Published November, 2010
By Richard A. Berk
Publisher: Springer (Springer New York)
Series: Springer Series in Statistics
Rating:
Availability: Not available (reason unspecified)

This book considers statistical learning applications when interest centers on the conditional distribution of the response variable, given a set of predictors, and when it is important to characterize how the predictors are related to the response.

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Published November, 2010
By Paul W. Mielke and Kenneth J. Berry
Publisher: Springer (Springer-Verlag New York Inc.)
Series: Springer Series in Statistics
Rating:
Availability: Available

This is the second edition of the comprehensive treatment of statistical inference using permutation techniques. This new and updated edition places increased emphasis on the use of alternative permutation statistical tests based on metric Euclidean distance functions that have excellent robustness characteristics.

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Published July, 2010
By Heping Zhang, Burton Singer and Burton H. Singer
Publisher: Springer (Springer-Verlag New York Inc.)
Series: Springer Series in Statistics
Rating:
Availability: Available

Although there are substantial data and plausibility arguments suppo- ing many conditions as contributory components of pathways to illness and disease end points, we have, historically, lacked an e?ective method- ogy for identifying the structure of the full pathways.

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Published July, 2008
By Richard A. Berk
Publisher: Springer (Springer New York)
Series: Springer Series in Statistics
Rating:
Availability: Not available (reason unspecified)

This book considers statistical learning applications when interest centers on the conditional distribution of the response variable, given a set of predictors, and when it is important to characterize how the predictors are related to the response.

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Published December, 2007
By Mark J. van der Laan and Sandrine Dudoit
Publisher: Springer (Springer New York)
Series: Springer Series in Statistics
Rating:
Availability: Not available (reason unspecified)

This book establishes the theoretical foundations of a general methodology for multiple hypothesis testing and discusses its software implementation in R and SAS. These are applied to a range of problems in biomedical and genomic research.

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Published August, 2007
By Paul W. Mielke and Kenneth J. Berry
Publisher: Springer (Springer-Verlag New York Inc.)
Series: Springer Series in Statistics
Rating:
Availability: Available

This is the second edition of the comprehensive treatment of statistical inference using permutation techniques. This new and updated edition places increased emphasis on the use of alternative permutation statistical tests based on metric Euclidean distance functions that have excellent robustness characteristics.

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Published March, 2007
By Jiming Jiang and Jiang Jiming
Publisher: Springer (Springer New York)
Series: Springer Series in Statistics
Rating:
Availability: Not available (reason unspecified)

This book covers two major classes of mixed effects models, linear mixed models and generalized linear mixed models. It presents an up-to-date account of theory and methods in analysis of these models as well as their applications in various fields.

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Published August, 2006
By David C. Hoaglin and Stephen E. Fienberg
Publisher: Springer (Springer New York)
Series: Springer Series in Statistics
Rating:
Availability: Not available (reason unspecified)

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Published May, 2006
By Nhu D. Le and James V. Zidek
Publisher: Springer (Springer New York)
Series: Springer Series in Statistics
Rating:
Availability: Not available (reason unspecified)

This book provides a broad introduction to the subject of environmental space-time processes; addressing the role of uncertainty. Within that context, it covers a spectrum of technical matters from measurement to environmental epidemiology to risk assessment.

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