Permutation Methods : A Distance Function Approach
Other Available Formats
Overview
Classical statistical analysis depends on many assumptions about the nature of data and the population from which the samples were drawn. Permutation tests depend only on the data gathered and, although computationally intensive, provide powerful alternatives to conventional analysis techniques. Most commonly-used parametric and permutation statistical tests, such as the matched-pairs t test and analysis of variance, are based on non-metric squared distance functions that have very poor robustness characteristics. This Second Edition places increased emphasis on the use of alternative permutation statistical tests based on metric Euclidean distance functions that have excellent robustness characteristics. These alternative permutation techniques provide many powerful multivariate tests including multivariate multiple regression analyses.
This item is Non-Returnable
Customers Also Bought
Details
- ISBN-13: 9780387698113
- ISBN-10: 0387698116
- Publisher: Springer
- Publish Date: August 2007
- Dimensions: 9.54 x 6.37 x 1.04 inches
- Shipping Weight: 1.68 pounds
- Page Count: 446
Related Categories
