Read Introduction to Statistical Inference (Springer Texts in Statistics)

Introduction to Statistical Inference (Springer Texts in Statistics)

Unknown Author

4.9/5 (14990 ratings)

Description:This book is based upon lecture notes developed by Jack Kiefer for a course in statistical inference he taught at Cornell University. The notes were distributed to the class in lieu of a textbook, and the problems were used for homework assignments. Relying only on modest prerequisites of probability theory and cal culus, Kiefer's approach to a first course in statistics is to present the central ideas of the modem mathematical theory with a minimum of fuss and formality. He is able to do this by using a rich mixture of examples, pictures, and math ematical derivations to complement a clear and logical discussion of the important ideas in plain English. The straightforwardness of Kiefer's presentation is remarkable in view of the sophistication and depth of his examination of the major theme: How should an intelligent person formulate a statistical problem and choose a statistical procedure to apply to it? Kiefer's view, in the same spirit as Neyman and Wald, is that one should try to assess the consequences of a statistical choice in some quan titative (frequentist) formulation and ought to choose a course of action that is verifiably optimal (or nearly so) without regard to the perceived "attractiveness" of certain dogmas and methods."We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Introduction to Statistical Inference (Springer Texts in Statistics). To get started finding Introduction to Statistical Inference (Springer Texts in Statistics), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

Pages: —

Format: PDF, EPUB & Kindle Edition

Publisher: —

Release: —

ISBN: 0387964207

Description: This book is based upon lecture notes developed by Jack Kiefer for a course in statistical inference he taught at Cornell University. The notes were distributed to the class in lieu of a textbook, and the problems were used for homework assignments. Relying only on modest prerequisites of probability theory and cal culus, Kiefer's approach to a first course in statistics is to present the central ideas of the modem mathematical theory with a minimum of fuss and formality. He is able to do this by using a rich mixture of examples, pictures, and math ematical derivations to complement a clear and logical discussion of the important ideas in plain English. The straightforwardness of Kiefer's presentation is remarkable in view of the sophistication and depth of his examination of the major theme: How should an intelligent person formulate a statistical problem and choose a statistical procedure to apply to it? Kiefer's view, in the same spirit as Neyman and Wald, is that one should try to assess the consequences of a statistical choice in some quan titative (frequentist) formulation and ought to choose a course of action that is verifiably optimal (or nearly so) without regard to the perceived "attractiveness" of certain dogmas and methods."We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Introduction to Statistical Inference (Springer Texts in Statistics). To get started finding Introduction to Statistical Inference (Springer Texts in Statistics), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

Special Offer | $0.00

Special Offer! | $0.00

Introduction to Statistical Inference (Springer Texts in Statistics)

Introduction to Statistical Inference (Springer Texts in Statistics)

More Books

An Introduction to Statistical Learning

An Introduction to Statistical Learning

An Introduction to Statistical Modeling of Extreme Values

An Introduction to Statistical Modeling of Extreme Values

Learning From Data

Learning From Data

An Introduction to Probability and Statistical Inference

An Introduction to Probability and Statistical Inference

Understanding Statistics

Understanding Statistics

An Introduction to Multivariate Statistical Analysis

An Introduction to Multivariate Statistical Analysis

Introduction to Statistical Inference

Introduction to Statistical Inference

Introduction to Statistics

Introduction to Statistics

Probability & Statistical Concepts:an Introduction

Probability & Statistical Concepts:an Introduction