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

by Michael Falk at al.

**Publisher**: University of Wuerzburg 2011**Number of pages**: 364

**Description**:

The analysis of real data by means of statistical methods with the aid of a software package common in industry and administration usually is not an integral part of mathematics studies, but it will certainly be part of a future professional work. The present book links up elements from time series analysis with a selection of statistical procedures used in general practice including the statistical software package SAS. Consequently this book addresses students of statistics as well as students of other branches such as economics, demography and engineering, where lectures on statistics belong to their academic training.

Download or read it online for free here:

**Download link**

(2.5MB, PDF)

## Similar books

**Statistics Beyond the Absolute Basics**

by

**Ivan Lowe**-

**scientificlanguage.com**

The book begins by expanding on some of the basic concepts such data types and variables. The basic choice then is between the family of statistics which compares groups, and the family which studies associations or correlations.

(

**1787**views)

**Computational Statistics**

by

**James E. Gentle**-

**Springer**

This book describes computationally-intensive statistical methods in a unified presentation, emphasizing techniques that arise in a wide range of methods. The book assumes an intermediate background in mathematics, computing, and statistics.

(

**12515**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.

(

**8951**views)

**Using R for Introductory Statistics**

by

**John Verzani**-

**Chapman & Hall/CRC**

A self-contained treatment of statistical topics and the intricacies of the R software. The book focuses on exploratory data analysis, includes chapters on simulation and linear models. It lays the foundation for further study and development using R.

(

**16622**views)