A First Course Mathematical Statistics
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: biology, psychology, agriculture, economics, physics, chemistry, and (of course) mathematics.
1100952557
A First Course Mathematical Statistics
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: biology, psychology, agriculture, economics, physics, chemistry, and (of course) mathematics.
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A First Course Mathematical Statistics

A First Course Mathematical Statistics

by C. E. Weatherburn
A First Course Mathematical Statistics

A First Course Mathematical Statistics

by C. E. Weatherburn

Paperback(Revised ed.)

$50.00 
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Overview

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: biology, psychology, agriculture, economics, physics, chemistry, and (of course) mathematics.

Product Details

ISBN-13: 9780521091589
Publisher: Cambridge University Press
Publication date: 01/02/1949
Edition description: Revised ed.
Pages: 300
Product dimensions: 5.51(w) x 8.46(h) x 0.67(d)

Table of Contents

Preface; 1. Frequency distributions; 2. Probability and probability distributions; 3. Some standard distributions; 4. Bivariate distributions, regression and correlation; 5. Further correlation theory, curved regression lines; 6. Theory of simple sampling; 7. Standard errors of statistics; 8. Beta and gamma distributions; 9. Chi-square and some applications; 10. Further tests of significance, small samples; 11. Analysis of variance and covariance; 12. Multivariate distributions, partial and multiple correlations; Tables.
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