A First Course Mathematical Statistics
A First Course Mathematical Statistics
This book provides the mathematical foundations of statistics. Its aim is to explain the principles, to prove the formulae to give validity to the methods employed in the interpretation of statistical data. Many examples are included but, since the primary emphasis is on the underlying theory, it is of interest to students of a wide variety of subjects: biology, psychology, agriculture, economics, physics, chemistry, and (of course) mathematics.
Reviews & endorsements
Review of the hardback: 'Weatherburn's book is excellent…Its great virtue is its compactness of argument, which facilitates seeing the whole.' Nature
Review of the hardback: 'A very useful reference book and an excellent text…will be of much aid to both students and teachers' Statistical Methodology Reviews
Review of the hardback: 'The need for a book of this kind has been long felt, and Professor Weatherburn is to be congratulated on filling it so admirably…The treatment is remarkably lucid and brings out well the connection between the different distributions, and the underlying unity of the subject.' Economica
Review of the hardback: 'A worthy contribution…The book is carefully written, and the result is a high order of clarity throughout. It is not a little astonishing to realise after reading the book how much both of theory and of example has been set comfortably in 271 pages…This is a book every statistician will want in his library.' American Statistical Association Book Review
Review of the hardback: 'A much needed and well written book…should be of interest to others apart from those for whom it is specifically written. Professor Weatherburn is not only a mathematician: he is an able and experienced teacher.' Times Educational Supplement
Product details
No date availablePaperback
9780521091589
300 pages
215 × 140 × 17 mm
0.5kg
Table of Contents
- Preface
- 1. Frequency distributions
- 2. Probability and probability distributions
- 3. Some standard distributions
- 4. Bivariate distributions, regression and correlation
- 5. Further correlation theory, curved regression lines
- 6. Theory of simple sampling
- 7. Standard errors of statistics
- 8. Beta and gamma distributions
- 9. Chi-square and some applications
- 10. Further tests of significance, small samples
- 11. Analysis of variance and covariance
- 12. Multivariate distributions, partial and multiple correlations
- Tables.
