**Lectures on Statistics**

by Robert B. Ash

**Publisher**: University of Illinois 2007

**Description**:

These notes are based on a course that the author gave at UIUC in 1996 and again in 1997. No prior knowledge of statistics is assumed. A standard first course in probability is a prerequisite, but the first 8 lectures review results from basic probability that are important in statistics. Some exposure to matrix algebra is needed to cope with the multivariate normal distribution in Lecture 21, and there is a linear algebra review in Lecture 19.

Download or read it online for free here:

**Download link**

(multiple PDF files)

## Similar books

**Statistical Tools for Economists**

by

**Daniel McFadden**-

**University of California, Berkeley**

The contents: Economic Analysis and Econometrics; Analysis and Linear Algebra in a Nutshell; Probability Theory in a Nutshell; Limit Theorems in Statistics; Experiments, Sampling, and Statistical Decisions; Estimation; Hypothesis Testing.

(

**14606**views)

**Statistics for Health, Life and Social Sciences**

by

**Denis Anthony**-

**BookBoon**

This is a practical book. It is aimed at people who need to understand statistics, but not develop it as a subject. The typical reader might be a postgraduate student in health, life, or social science who has no knowledge of statistics.

(

**5914**views)

**Introduction to Statistical Thinking**

by

**Benjamin Yakir**-

**The Hebrew University of Jerusalem**

This is an introduction to statistics, with R, without calculus. The target audience for this book is college students who are required to learn statistics, students with little background in mathematics and often no motivation to learn more.

(

**4774**views)

**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.

(

**9238**views)