Modern applied u-statistics.

9780471682271

Modern applied u-statistics.

Kowalski, Jeanne and Xin M. Tu.

Wiley-Interscience

2008

378 pages

$100.00

Hardcover

Wiley series in probability and statistics

QA276

Designed for use in a variety of disciplines, this graduate-level text provides a range of samples and exercises applicable to such fields as biomedical and psychosocial research. Kowalski (oncology biostatistics, The Johns Hopkins U.) and Tu (biostatistics, computational biology and psychiatry, U. of Rochester) focus on asymptotic theory as they address fundamentals such as measurable function and integration and the linear regression model, working through probability space, random variables, distribution function and expectation, and convergence of random variables and vectors. They explain models for cross-sectional data (including parametric regression models and semiparameter models), univariate U-statistics (including associated models and inference for U-statistics), models for clustered data (including parametric models, distribution-free models and solutions for missing data), multivariate U-statistics (including cross-sectional study designs) and functional response models (including model estimation).

([c]20082005 Book News, Inc., Portland, OR)