**A First Course In Mathematical Statistics**

by C.E. Weatherburn

**Publisher**: Cambridge University Press 1961**ISBN/ASIN**: 0521091586**Number of pages**: 302

**Description**:

This book provides the mathematical foundations of statistics. Its aim is to explain the principles, to prove the formulae to give validity to the methods employed in the interpretation of statistical data. Many examples are included but, since the primary emphasis is on the underlying theory, it is of interest to students of a wide variety of subjects.

Download or read it online for free here:

**Download link**

(multiple formats)

## Similar books

**Online Statistics Education**

by

**David Lane**-

**Rice University**

This is a resource for learning and teaching introductory statistics. It contains material presented in textbook format and as video presentations. This resource features interactive demonstrations and simulations, case studies, and an analysis lab.

(

**2920**views)

**Elementary Statistical Methods**

by

**Christian Akrong Hesse**-

**ResearchGate GmbH**

The purpose of this book is to acquaint the reader with the increasing number of applications of statistics in engineering and the applied sciences. Our goal is to introduce the basic theory without getting too involved in mathematical detail.

(

**12470**views)

**Dynamic Programming and Bayesian Inference: Concepts and Applications**

by

**Mohammad Saber Fallah Nezhad (ed.)**-

**InTech**

Dynamic programming and Bayesian inference have been both intensively and extensively developed during recent years. The purpose of this volume is to provide some applications of Bayesian optimization and dynamic programming.

(

**4836**views)

**Linear Regression Using R: An Introduction to Data Modeling**

by

**David R. Lilja**-

**University of Minnesota**

The book presents one of the fundamental data modeling techniques in an informal tutorial style. Learn how to predict system outputs from measured data using a detailed step-by-step process to develop, train, and test reliable regression models.

(

**2566**views)