A Handbook of Numerical and Statistical Techniques
With Examples Mainly from the Life Sciences
$51.99 (C)
- Author: J. H. Pollard
- Date Published: November 1979
- availability: Available
- format: Paperback
- isbn: 9780521297509
$
51.99
(C)
Paperback
Other available formats:
eBook
Looking for an examination copy?
This title is not currently available for examination. However, if you are interested in the title for your course we can consider offering an examination copy. To register your interest please contact collegesales@cambridge.org providing details of the course you are teaching.
-
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.
Customer reviews
Not yet reviewed
Be the first to review
Review was not posted due to profanity
×Product details
- Date Published: November 1979
- format: Paperback
- isbn: 9780521297509
- length: 368 pages
- dimensions: 215 x 137 x 16 mm
- weight: 0.399kg
- availability: Available
Table of Contents
Part I. Basic numerical techniques:
1. Introduction
2. Errors, mistakes and the arrangement of work
3. The real roots of non-linear equations
4. Simple methods for smoothing crude data
5. The area under a curve
6. Finite differences, interpolation and numerical differentiation
7. Some other numerical techniques
Part II. Basic Statistical techniques:
8. Probability, statistical distributions and moments
9. The normal and related distributions
10. The common discrete distributions
10. The common discrete distributions
11. The Pearson system of probability-density functions
12. Hypothesis testing
13. Point and interval estimation
14. Some special statistical techniques
Part III. The method of least squares:
15. Simple linear regression and the method of least squares
16. Curvilinear regression
17. Multiple linear regression
18. Non-linear regression.
Sorry, this resource is locked
Please register or sign in to request access. If you are having problems accessing these resources please email lecturers@cambridge.org
Register Sign in» Proceed
You are now leaving the Cambridge University Press website. Your eBook purchase and download will be completed by our partner www.ebooks.com. Please see the permission section of the www.ebooks.com catalogue page for details of the print & copy limits on our eBooks.
Continue ×Are you sure you want to delete your account?
This cannot be undone.
Thank you for your feedback which will help us improve our service.
If you requested a response, we will make sure to get back to you shortly.
×