Statistics : a guide to the use of statistical methods in the physical sciences
Author(s)
Bibliographic Information
Statistics : a guide to the use of statistical methods in the physical sciences
（The Manchester physics series）
Wiley, c1989
- : pbk
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Note
Bibliography: p. [187]-189
Includes index
Description and Table of Contents
- Volume
-
ISBN 9780471922940
Description
Each volume in the "Manchester Physics Series" has been developed as a physics or mathematical textbook at undergraduate level. The aim has been to produce books which allow courses of different lengths and degrees of difficulty to be selected, with emphasis on various applications. Flow diagrams are used throughout the texts to emphasize connections between different areas of the disciplines. This introduction to statistical methods, which assumes a reasonable degree of numeracy, emphasizes the theory of measurements and errors and the problem of estimation.
Table of Contents
- Using statistics
- describing the data
- theoretical distributions - bionomial distribution, the Poisson distribution, the Gaussian distribution
- errors
- estimation
- least squares
- probability and confidence
- taking decisions
- ranking methods
- notes for number crunchers. Appendices: answers to problems
- proof of the Central Limit Theorem.
- Volume
-
: pbk ISBN 9780471922957
Description
The Manchester Physics Series General Editors: D. J. Sandiford; F. Mandl; A. C. Phillips Department of Physics and Astronomy, University of Manchester Properties of Matter B. H. Flowers and E. Mendoza Optics Second Edition F. G. Smith and J. H. Thomson Statistical Physics Second Edition F. Mandl Electromagnetism Second Edition I. S. Grant and W. R. Phillips Statistics R. J. Barlow Solid State Physics Second Edition J. R. Hook and H. E. Hall Quantum Mechanics F. Mandl Particle Physics Second Edition B. R. Martin and G. Shaw The Physics of Stars Second Edition A.C. Phillips Computing for Scientists R. J. Barlow and A. R. Barnett Written by a physicist, Statistics is tailored to the needs of physical scientists, containing and explaining all they need to know. It concentrates on parameter estimation, especially the methods of Least Squares and Maximum Likelihood, but other techniques, such as hypothesis testing, Bayesian statistics and non-parametric methods are also included. Intended for reasonably numerate scientists it contains all the basic formulae, their derivations and applications, together with some more advanced ones. Statistics features:
* Comprehensive coverage of the essential techniques physical scientists are likely to need.
* A wealth of examples, and problems with their answers.
* Flexible structure and organisation allows it to be used as a course text and a reference.
* A review of the basics, so that little prior knowledge is required.
Table of Contents
Using Statistics.
Describing the Data.
Theoretical Distributions.
Errors.
Estimation.
Least Squares.
Probability and Confidence.
Taking Decisions.
Ranking Methods.
Notes for Number Crunchers.
Bibliography.
Appendices.
Index.
by "Nielsen BookData"
