Books : Nonparametric Analysis of Longitudinal Data in Factorial Experiments (Wiley Series in Probability and Statistics)
In association with Amazon.com
Regular marked price: $145.00Discount Price: $124.46
Cost Savings: $20.54 (14%)Price fluctuation possible.
How soon does it ship: Usually ships in 7 to 11 days
Shipping? Absolutely FREE if you qualify for Super Saver Shipping.
Type of bind: Hardcover
Dewey Decimal Number: 519.5
EAN num: 9780471441663
ISBN number: 047144166X
Label: Wiley-Interscience
Manufacturer: Wiley-Interscience
Quantity: 1
Page Count: 288
Printing Date: November 26, 2001
Publishing house: Wiley-Interscience
Sale Popularity Level: 761429
Studio: Wiley-Interscience
Editor's Notes and Comments:
Product Description:
The authoritative reference on nonparametric methods for evaluating longitudinal data in factorial designs
Broadening the range of techniques that can be used to evaluate longitudinal data, Nonparametric Analysis of Longitudinal Data in Factorial Experiments presents nonparametric methods of evaluation that supplement the generalized linear models approach. Emphasizing the practical application of these methods in statistical procedures, this book provides a unified approach for the analysis of factorial designs involving longitudinal data that is appropriate for metric data, count data, ordered categorical data, and dichotomous data.
Topics covered include nonparametric models, effects and hypotheses in experimental design, estimators for relative effects, experiments for one and several groups of subjects, multifactorial experiments, dependent replications, and experiments with numerous time points. The basic mathematical principles for the methods introduced here are described in theory, consistent with the book's minimal math requirements. Simple approximations for small data sets are provided, as well as ample chapter exercises to test skills, an appendix that includes original data for the examples used throughout the book, and downloadable SAS-IML macros for implementing the more extensive calculations. All applications are designed to be useful in many fields.
Generously supplemented with more than 110 graphs and tables, Nonparametric Analysis of Longitudinal Data in Factorial Experiments is an essential reference for statisticians and biometricians, researchers in clinical trials, psychological studies, and in the fields of forestry, agriculture, sociology, ecology, and biology, as well as graduate students in statistics and biostatistics.
Find other books like this one:
