• Title: Introduction to Statistical Thought
• Author(s) Michael Lavine
• Publisher: Orange Grove Texts Plus (September 24, 2009); eBook (Creative Commons Licensed, 2013)
• License(s): Creative Commons License (CC)
• Paperback: 434 pages
• eBook: PDF, 475 page, 40.1 MB
• Languages: English, Belorussian, Polish
• ISBN-10: 1616100486
• ISBN-13: 978-1616100483
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Book Description

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. By "statistical thinking" is meant 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. By "likelihood emphasis" is meant that the likelihood function and likelihood principle are unifying ideas throughout the text.

The book is written with the statistical language R embedded throughout.

• Michael Lavine is a Professor of Statistics at University of Massachusetts Amherst.

• Amazon

• Statistics, Mathematical Statistics
• The R Programming Language
• Probability, Stochastic Process, Queueing Theory, etc.
• Applied Mathematics
• Data Analysis and Data Mining

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