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Can I read Regression Estimators: A Comparative Study (Statistical Modeling and Decision Science) on EtoBox?
Regression Estimators: A Comparative Study (Statistical Modeling and Decision Science) by Marvin H. J. Gruber; Gerald J. Lieberman; Ingram Olkin is a mathematics available to read on EtoBox.
What is Regression Estimators: A Comparative Study (Statistical Modeling and Decision Science) about?
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 (frequentist) methods. The book is divided into four parts. The first part (Chapters I and II) discusses the need for alternatives to least square estimators, gives a historical survey of the literature and summarizes basic ideas in Matrix Theory and Statistical Decision Theory used throughout the book. The se
Who reads Regression Estimators: A Comparative Study (Statistical Modeling and Decision Science)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Marvin H. J. Gruber; Gerald J. Lieberman; Ingram Olkin
- Publisher
- Academic Press, Incorporated
- Published
- 1990
- Language
- EN
- ISBN
- 9781483260976
- Category
- mathematics
- Subjects
- Mathematics, Stem
- Updated
- 2026-03-25
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