| Description | | - Author is highly regarded in the field as a researcher and expositor
- A lucid, informative overview of the subject
- Assumes only basic mathematics
- Numerous examples and illustrations
| This graduate-level text provides a survey of the logic and reasoning underpinning statistical analysis, as well as giving a broad-brush overview of the various statistical techniques that play a major role in scientific and social investigations. Arranged in rough historical order, the text starts with the ideas of probability that underpin statistical methods and progresses through the
developments of the nineteenth and twentieth centuries to modern concerns and solutions.
Assuming only a basic level of Mathematics and with numerous examples and illustrations, this text presents a valuable resource not only to the experienced researcher but also to the student, by complementing courses in a wide range of substantive areas and enabling the reader to rise above the details in
order to see the overall structure of the subject. |
Readership: Graduates and researchers in the sciences and social sciences.
| Contents |
Preface
1.
Probability
2.
Populations, samples, and data summary
3.
Population models
4.
Statistical inference - the frequentist approach
5.
Statistical inference - Bayesian and other approaches
6.
Linear models and least squares
7.
Generalising the linear model
8.
Association between variables
9.
Investigating complex data sets
10.
Special topics
Sources and further reading
Index
|
| Authors, editors,
and contributors |
Wojtek J. Krzanowski, Exeter University
|
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limitation price, format, extent, number of illustrations,
and month of publication, was as accurate as
possible at the time the catalogue was compiled.
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|
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