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Academic & Professional Books  Reference  Data Analysis & Modelling  Data Analysis & Statistics

Statistics and Scientific Method An Introduction for Students and Researchers

Textbook Handbook / Manual
By: Peter J Diggle and Amanda G Chetwynd
172 pages, 4 colour plates, b/w photos, b/w figures, maps, tables
Statistics and Scientific Method
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  • Statistics and Scientific Method ISBN: 9780199543199 Paperback Aug 2011 Usually dispatched within 5 days
    £19.95
    #191050
  • Statistics and Scientific Method ISBN: 9780199543182 Hardback Aug 2011 Usually dispatched within 5 days
    £50.00
    #191051
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About this book Contents Customer reviews Related titles

About this book

An antidote to technique-oriented service courses, this book studiously avoids the recipe-book style and keeps algebraic details of specific statistical methods to the minimum extent necessary to understand the underlying concepts. The text aims to give the reader a clear understanding of how core statistical ideas of experimental design, modelling and data analysis are integral to the scientific method.

Aimed primarily at beginning postgraduate students across a range of scientific disciplines (albeit with a bias towards the biological, environmental and health sciences), it therefore assumes some maturity of understanding of scientific method, but does not require any prior knowledge of statistics, or any mathematical knowledge beyond basic algebra and a willingness to come to terms with mathematical notation.

Any statistical analysis of a realistically sized data-set requires the use of specially written computer software. An Appendix introduces the reader to the open-source software R, whilst the book's web-page includes downloadable data and R code that enables the reader to reproduce all of the analyses in the book and, with easy modifications, to adapt the code to analyse their own data if they wish.

Contents

1. Introduction
2. Overview
3. Uncertainty
4. Exploratory data analysis
5. Experimental design
6. Simple comparative experiments
7. Statistical modelling
8. Survival analysis
9. Time series analysis
10. Spatial statistics

Appendix: The R computing environment
References
Index

Customer Reviews

Textbook Handbook / Manual
By: Peter J Diggle and Amanda G Chetwynd
172 pages, 4 colour plates, b/w photos, b/w figures, maps, tables
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