Life Distributions: Structure of Nonparametric, Semiparametric, And Parametric Families - Couverture rigide

Livre 93 sur 160: Springer Series in Statistics

Marshall, Albert W.; Olkin, Ingram

 
9780387203331: Life Distributions: Structure of Nonparametric, Semiparametric, And Parametric Families

Synopsis

This book is devoted to the study of univariate distributions appropriate for the analyses of data known to be nonnegative. The book includes much material from reliability theory in engineering and survival analysis in medicine.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de l?auteur

Albert W. Marshall, Professor Emeritus of Statistics at the University of British Colombia, previously served on the faculty of the University of Rochester and on the staff of the Boeing Scientific Research Laboratories. His fundamental contributions to reliability theory have had a profound effect in furthering its development.

Ingram Olkin is Professor Emeritus of Statistics and Education at Stanford University, after having served on the faculties of Michigan State University and the University of Minnesota. He has made significant contributions in multivariate analysis and in the development of statistical methods in meta-analysis, which has resulted in its use in many applications.

Professors Marshall and Olkin, coauthors of papers on inequalities, multivariate distributions, and matrix analysis, are about to celebrate 50 years of collaborations. Their basic book on majorization has promoted awareness of the subject, and led to new applications in such fields as economics, combinatorics, statistics, probability, matrix theory, chemistry, and political science.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Autres éditions populaires du même titre

9781441919113: Life Distributions: Structure of Nonparametric, Semiparametric, and Parametric Families

Edition présentée

ISBN 10 :  1441919112 ISBN 13 :  9781441919113
Editeur : Springer, 2010
Couverture souple