Distribution-Free Statistical Methods, Second Edition

ISBN-13: 9780412552601 / Angielski / Twarda / 1995 / 256 str.

J. S. Maritz; Maritz Maritz

Opis

In the original edition of this book the emphasis was largely on exact methods, with permutation techniques being the main unifying theme. These features are retained, but two considerations have made it desirable to shift the emphasis. One is that there is more interest in estimation techniques within the general area on nonparametrics. This means that more emphasis on estimating equations is provided as a unifying notion. The other important consideration is applicability. It is clear that many practical problems do not have exact non-parametric solutions. Therefore asymptotic approximations continue to have an important role to play, notably in estimation of parameters in a general linear model.

Recenzje

"In summary, the book is both readable and informative. It probably covers more material than would normally be included in a standard course on distribution-free methods, but it would be a useful reference for any student following such a course."
-The Statistician

Spis treści

Basic Concepts in Distribution-Free Methods. One-Sample Location Problems. Miscellaneous One-Sample Problems. Two-Sample Problems. Straight Line Regression. Multiple Regression and General Linear Models. Bivariate Problems. Miscellaneous Complements. References. Index.

O autorze

Johannes Maritz is professor in the Department of Statistics , University of Stellenbosch, South Africa.