Introduction to Statistical Thought

The book is intended as an upper level undergraduate or introductory graduate textbook in statistical thinking with a likelihood emphasis for students with a good knowledge of calculus and the ability to think abstractly.

**Tag(s):**
Statistics

**Publication date**: 21 Feb 2013

**ISBN-10**:
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**ISBN-13**:
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**Paperback**:
475 pages

**Views**: 4,251

**Type**: N/A

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**License**:
Creative Commons Attribution-NonCommercial-ShareAlike 3.0 United States

**Post time**: 12 May 2016 11:00:00

Introduction to Statistical Thought

The book is intended as an upper level undergraduate or introductory graduate textbook in statistical thinking with a likelihood emphasis for students with a good knowledge of calculus and the ability to think abstractly.

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From the Introduction:

Michael L. Lavine wrote:Introduction to Statistical Thought grew out of my teaching graduate and undergraduate statistics courses for many years, and from my experience as a statistical consultant and collaborator. I wanted to write a text that

- explains how statisticians think about data,

- introduces modern statistical computing, and

- has lots of real examples.

The book is intended as an upper level undergraduate or introductory graduate textbook in statistical thinking with a likelihood emphasis for students with a good knowledge of calculus and the ability to think abstractly. "Statistical thinking" means a focus on ideas that statisticians care about as opposed to technical details of how to put those ideas into practice. The book does contain technical details, but they are not the focus. "Likelihood emphasis" means that the likelihood function and likelihood principle are unifying ideas throughout the text.

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About The Author(s)

Michael L. Lavine is Professor of Statistics in the Department of Mathematics and Statistics at the University of Massachusetts Amherst. His research interests primarily cover statistical theory, methods and applications.

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