**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

**Random Matrix Models and Their Applications**

by

**Pavel Bleher, Alexander Its**-

**Cambridge University Press**

The book covers broad areas such as topologic and combinatorial aspects of random matrix theory; scaling limits, universalities and phase transitions in matrix models; universalities for random polynomials; and applications to integrable systems.

(

**14703**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.

(

**15024**views)

**Basic Data Analysis and More: A Guided Tour Using Python**

by

**O. Melchert**-

**arXiv**

In these lecture notes, a selection of frequently required statistical tools will be introduced and illustrated. They allow to post-process data that stem from, e.g., large-scale numerical simulations (aka sequence of random experiments).

(

**12802**views)

**Stochastic Integration and Stochastic Differential Equations**

by

**Klaus Bichteler**-

**University of Texas**

Written for graduate students of mathematics, physics, electrical engineering, and finance. The students are expected to know the basics of point set topology up to Tychonoff's theorem, general integration theory, and some functional analysis.

(

**12694**views)