**Introduction to Statistical Thought**

by Michael Lavine

2008**Number of pages**: 434

**Description**:

Upper undergraduate or introductory graduate book in statistical thinking for students with a solid background in calculus and the ability to think abstractly. The focus is on ideas and concepts, as opposed to technical details of how statisticians put those ideas into practice. The book uses computer simulations written with the statistical language R, which is available for free download.

Download or read it online for free here:

**Download link**

(41MB, PDF)

## Similar books

**A First Course on Time Series Analysis with SAS**

by

**Michael Falk at al.**-

**University of Wuerzburg**

This book links up elements from time series analysis with a selection of statistical procedures used in general practice including the statistical software package SAS. The book addresses students of statistics, economics, demography, engineering.

(

**10995**views)

**Theory of Statistics**

by

**James E. Gentle**-

**George Mason University**

This document is directed toward students for whom mathematical statistics is or will become an important part of their lives. Obviously, such students should be able to work through the details of 'hard' proofs and derivations.

(

**9650**views)

**A Feel for Statistics**

by

**Ivan Lowe**-

**scientificlanguage.com**

Here I present statistics for the ordinary person. Examples are taken from ordinary life. The book begins with basic concepts behind the statistics and never gets harder than simple arithmetic. The course is presented as a series of key ideas.

(

**2793**views)

**Causal Inference**

by

**Miguel A. Hernan, James M. Robins**-

**Chapman & Hall/CRC**

The book provides a cohesive presentation of concepts of, and methods for, causal inference. It will be of interest to anyone interested in causal inference, e.g., epidemiologists, statisticians, psychologists, economists, sociologists, and others.

(

**5712**views)