Plots, Transformations, and Regression: An Introduction to Graphical Methods of Diagnostic Regression Analysis

A.C. Atkinson

ISBN 10: 0198533594 / ISBN 13: 9780198533597

Edité par Clarendon Press, Oxford, 1985

A propos de cet article

First edition and printing. In near fine plus bright red laminated boards, with white and black titles to front. The covers are very tight, straight and clean; spine sunned. Unmarked pale blue end papers. Very white cut edges. The text block is very tightly bound, square and unmarked - fine condition - with many figures. No inscriptions etc Looks unread. No jacket. N° de réf. du vendeur 55865

Détails bibliographiques

Titre : Plots, Transformations, and Regression: An ...

Éditeur : Clarendon Press, Oxford

Date d'édition : 1985

Reliure : Hardcover

Etat : Fine

Etat de la jaquette : No Jacket

Edition : 1st Edition

A propos de ce titre

Synopsis :

Book by Atkinson A C

Présentation de l'éditeur:

`Repression diagnostics are a collection of methods used to find (diagnose) unusual features in a regression problem. `Although informal diagnostics have a long and respectable history, it is only in the last fifteen years or so that they have been systematically studied. Atkinson has been one of the key players in this area, with several important papers dating from the early 1970s. The book clearly builds on much of that earlier work, but it is not intended as a research monograph, but as an introduction and guide to using diagnostics as a practical part of regression analysis. Both research statisticians and users of statistics should find this book generally both interesting and accessible. `A major strength of this book is Atkinson's decision to present only a subset of diagnostic methods that have been suggested in the literature, rather than giving the reader a menu of possibilities to choose from. In a field with few underlying principles and much that requires experience and practice, the reader who is new to the area can only benefit from learning a reasonably coherent collection of methods.' From a review by Sanford Weisberg, University of Minnesota.