<span>This book offers a new, fairly efficient, and robust alternative to analyzing multivariate data. The analysis of data based on multivariate spatial signs and ranks proceeds very much as does a traditional multivariate analysis relying on the assumption of multivariate normality; the regular L2
Nonparametrics : statistical methods based on ranks
โ Scribed by Lehmann E.L., D'Abrera H.J.M.
- Publisher
- Holden-Day
- Year
- 1975
- Tongue
- English
- Leaves
- 473
- Series
- Holden-Day series in probability and statistics
- Category
- Library
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
<p>This book offers a new, fairly efficient, and robust alternative to analyzing multivariate data. The analysis of data based on multivariate spatial signs and ranks proceeds very much as does a traditional multivariate analysis relying on the assumption of multivariate normality; the regular L2 no
"This Second Edition of Myles Hollander and Douglas A. Wolfe's successful Nonparametric Statistical Methods meets the needs of a new generation of users, with completely up-to-date coverage of this important statistical area. Like its predecessor, the revised edition, along with its companion ftp
The dichotomous data problem. The one-sample location problem. Paired replicates analyses by way of signed ranks. Paired replicates analyses by way of signs. One-sample data. The two-sample location problem. The two-sample dispersion problem. Medians known or equal. Medians unknown and unequal. The
"In this third edition we have improved the eleven chapters of the second edition and added five new chapters. Also organized all of the R programs used in this third edition into a documented collection that is formally registered as an R package specifically linked to this third edition. "--</div>
A coherent, unified set of statistical methods, based on ranks, for analyzing data resulting from various experimental designs. Uses MINITAB, a statistical computing system for the implementation of the methods. Assesses the statistical and stability properties of the methods through asymptotic effi