Albert W. Marshall is Professor Emeritus of Statistics at the University of British Columbia. His fundamental contributions to reliability theory have had a profound effect in furthering its development.
Ingram Olkin is Professor Emeritus of Statistics at Stanford University. He has made fundamental contributions in multivariate analysis, and in the development of statistical methods in meta-analysis, which have resulted in its use in many applications.
Barry C. Arnold is Distinguished Professor of Statistics at the University of California, Riverside. His previous books deal with Pareto Distributions, Order Statistics, Record Values, Conditionally Specified Distributions, and the Lorenz Order.
11 Електронні книги від Ingram Olkin
Albert W. Marshall & Ingram Olkin: Inequalities: Theory of Majorization and Its Applications
This book’s first edition has been widely cited by researchers in diverse fields. The following are excerpts from reviews. “Inequalities: Theory of Majorization and its Applications” merits strong …
PDF
Англійська
€213.99
Albert W. Marshall & Ingram Olkin: Life Distributions
For over 200 years, practitioners have been developing parametric families of probability distributions for data analysis. More recently, an active development of nonparametric and semiparametric fam …
PDF
Англійська
€181.89
Ingram Olkin & Leon J Gleser: PROBAB MOD & APPL (REV 2ND ED)
Written by renowned experts in the field, this reissue of a textbook has as its unifying theme the role that probability models have had, and continue to have, in scientific and practical …
EPUB
Англійська
DRM
€67.99
Larry V. Hedges & Ingram Olkin: Statistical Methods for Meta-Analysis
The main purpose of this book is to address the statistical issues for integrating independent studies. There exist a number of papers and books that discuss the mechanics of collecting, coding, and …
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Англійська
DRM
€54.43
Albert W. Marshall & Ingram Olkin: Inequalities
Although they play a fundamental role in nearly all branches of mathematics, inequalities are usually obtained by ad hoc methods rather than as consequences of some underlying "theory of …
PDF
Англійська
DRM
€124.01
Yulia R. Gel & Amanda L. Golbeck: Leadership and Women in Statistics
Learn How to Infuse Leadership into Your Passion for Scientific Research Leadership and Women in Statistics explores the role of statisticians as leaders, with particular attention to women …
PDF
Англійська
DRM
€57.33
Paul A. Bekker & Arjen Merckens: Identification, Equivalent Models, and Computer Algebra
Identification, Equivalent Models, and Computer Algebra provides information pertinent to computer algebra. This book presents a brief discussion of the commutation matrix, an operator that plays a …
PDF
Англійська
DRM
€55.11
Marvin H. J. Gruber: Regression Estimators
Regression Estimators: A Comparative Study presents, compares, and contrasts the development and the properties of the ridge type estimators that result from both Bayesian and non-Bayesian …
PDF
Англійська
DRM
€54.93
Elliot R. Lieberman: Multi-Objective Programming in the USSR
Statistical Modeling and Decision Science: Multi-Objective Programming in the USSR provides information pertinent to multi-objective programming that has emerged as an increasingly active area of …
PDF
Англійська
DRM
€54.64
Takeaki Kariya & Bimal K. Sinha: Robustness of Statistical Tests
Robustness of Statistical Tests provides a general, systematic finite sample theory of the robustness of tests and covers the application of this theory to some important testing problems commonly …
PDF
Англійська
DRM
€54.73
Yulia R. Gel & Amanda L. Golbeck: Leadership and Women in Statistics
Learn How to Infuse Leadership into Your Passion for Scientific Research Leadership and Women in Statistics explores the role of statisticians as leaders, with particular attention to women …
EPUB
Англійська
DRM
€57.22
