**Introduction Probaility and Statistics**

by Muhammad El-Taha

**Publisher**: University of Southern Maine 2003**Number of pages**: 147

**Description**:

Topics: Data Analysis; Probability; Random Variables and Discrete Distributions; Continuous Probability Distributions; Sampling Distributions; Point and Interval Estimation; Large Sample Estimation; Large-Sample Tests of Hypothesis; Inferences From Small Sample; The Analysis of Variance; Simple Linear Regression and Correlation; Multiple Linear Regression.

Download or read it online for free here:

**Download link**

(390KB, PDF)

## Similar books

**Probability and Statistics Cookbook**

by

**Matthias Vallentin**

The cookbook contains a succinct representation of various topics in probability theory and statistics. It provides a comprehensive reference reduced to the mathematical essence, rather than aiming for elaborate explanations.

(

**14563**views)

**Introduction to Probability, Statistics, and Random Processes**

by

**Hossein Pishro-Nik**-

**Kappa Research, LLC**

This book introduces students to probability, statistics, and stochastic processes. It can be used by both students and practitioners in engineering, sciences, finance, and other fields. It provides a clear and intuitive approach to these topics.

(

**7633**views)

**Inverse Problem Theory and Methods for Model Parameter Estimation**

by

**Albert Tarantola**-

**SIAM**

The first part deals with discrete inverse problems with a finite number of parameters, while the second part deals with general inverse problems. The book for scientists and applied mathematicians facing the interpretation of experimental data.

(

**12162**views)

**Reversible Markov Chains and Random Walks on Graphs**

by

**David Aldous, James Allen Fill**-

**University of California, Berkeley**

From the table of contents: General Markov Chains; Reversible Markov Chains; Hitting and Convergence Time, and Flow Rate, Parameters for Reversible Markov Chains; Special Graphs and Trees; Cover Times; Symmetric Graphs and Chains; etc.

(

**10117**views)