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### Table of contents

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#### CHAPTER I - PROBLEMS OF MATHEMATICAL STATISTICS

Pages 1-5 - Book chapterAbstract only
#### CHAPTER II - CLASSIFICATION OF ERRORS IN CHEMICAL ANALYSIS

Pages 6-15 - Book chapterAbstract only
#### CHAPTER III - RANDOM VARIABLES AND THEIR CHARACTERISTICS

Pages 16-38 - Book chapterAbstract only
#### CHAPTER IV - NORMAL DISTRIBUTION

Pages 39-82 - Book chapterAbstract only
#### CHAPTER V - POISSON'S DISTRIBUTION AND BINOMIAL DISTRIBUTION

Pages 83-99 - Book chapterAbstract only
#### CHAPTER VI - ESTIMATION OF THE RESULTS OF CHEMICAL ANALYSIS

Pages 100-124 - Book chapterAbstract only
#### CHAPTER VII - ANALYSIS OF VARIANCE

Pages 125-163 - Book chapterAbstract only
#### CHAPTER VIII - STATISTICS OF LINEAR RELATIONS

Pages 164-209 - Book chapterAbstract only
#### CHAPTER IX - SOME WORKING METHODS CONNECTED WITH THE STATISTICAL DESIGN OF AN EXPERIMENT

Pages 210-235 - Book chapterNo access
#### BIBLIOGRAPHY

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#### APPENDIX

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#### SUBJECT INDEX

Pages 291-294

## About the book

### Description

The Application of Mathematical Statistics to Chemical Analysis presents the methods of mathematical statistics as applied to problems connected with chemical analysis. This book is divided into nine chapters that particularly consider the principal theorems of mathematical statistics that are explained with examples taken from researchers associated with chemical analysis in laboratory work. This text deals first with the problems of mathematical statistics as a means to summarize information in chemical analysis. The next chapters examine the classification of errors, random variables and their characteristics, and the normal distribution in mathematical statistics. These topics are followed by surveys of the application of Poisson's and binomial distribution in radiochemical analysis; the estimation of chemical analytic results; and the principles and application of determination of experimental variance. The last chapters explore the determination of statistical parameters of linear relations and some working methods associated with the statistical design of an experiment. This book will be of great value to analytical chemists and mathematical statisticians.

The Application of Mathematical Statistics to Chemical Analysis presents the methods of mathematical statistics as applied to problems connected with chemical analysis. This book is divided into nine chapters that particularly consider the principal theorems of mathematical statistics that are explained with examples taken from researchers associated with chemical analysis in laboratory work. This text deals first with the problems of mathematical statistics as a means to summarize information in chemical analysis. The next chapters examine the classification of errors, random variables and their characteristics, and the normal distribution in mathematical statistics. These topics are followed by surveys of the application of Poisson's and binomial distribution in radiochemical analysis; the estimation of chemical analytic results; and the principles and application of determination of experimental variance. The last chapters explore the determination of statistical parameters of linear relations and some working methods associated with the statistical design of an experiment. This book will be of great value to analytical chemists and mathematical statisticians.

## Details

### ISBN

978-0-08-009916-3

### Language

English

### Published

1963

### Copyright

Copyright © 1963 Elsevier Ltd. All rights reserved.

### Imprint

Pergamon