A Handbook of Numerical and Statistical Techniques: With Examples Mainly from the Life Sciences

Front Cover
CUP Archive, Nov 29, 1979 - Mathematics - 368 pages
0 Reviews
This handbook is designed for experimental scientists, particularly those in the life sciences. It is for the non-specialist, and although it assumes only a little knowledge of statistics and mathematics, those with a deeper understanding will also find it useful. The book is directed at the scientist who wishes to solve his numerical and statistical problems on a programmable calculator, mini-computer or interactive terminal. The volume is also useful for the user of full-scale computer systems in that it describes how the large computer solves numerical and statistical problems. The book is divided into three parts. Part I deals with numerical techniques and Part II with statistical techniques. Part III is devoted to the method of least squares which can be regarded as both a statistical and numerical method. The handbook shows clearly how each calculation is performed. Each technique is illustrated by at least one example and there are worked examples and exercises throughout the volume.
 

What people are saying - Write a review

We haven't found any reviews in the usual places.

Contents

STATISTICAL TABLES
4
Errors mistakes and the arrangement of work
14
Simple methods for smoothing crude data
26
The area under a curve
37
Finite differences interpolation and numerical differentiation
44
Some other numerical techniques
60
Probability statistical distributions and moments
75
The normal and related distributions
90
Fishers ztransformation table 12 31 1
200
Point and interval estimation
210
Some special statistical techniques
236
1S Simple linear regression and the method of least squares
255
Curvilinear regression
275
Multiple linear regression
300
Nonlinear regression
313
Appendix
321

The common discrete distributions
100
The Pearson system of probabilitydensity functions
122
Hypothesis testing
133
The upper 100a per cent points of the KolmogorovSmirnov distribution
153
The upper 100a per cent points of the KruskalWallis distribution table
180

Common terms and phrases

Popular passages

Page xi - The expected value of the dependent variable for a given value of the. independent variable is, 3) For any given value of X, the observed y values are distributed independently and normally.

References to this book

All Book Search results »

Bibliographic information