
Probability, Statistics and Analysis
Cambridge University Press
Published on 10. February 1983
Book
Paperback/Softback
296 pages
978-0-521-28590-2 (ISBN)
Description
This collection of papers is dedicated to David Kendall (Professor of Mathematical Statistics in the University of Cambridge) on the occasion of his 65th birthday. The content of the contributions indicates the breadth of his interests in mathematics and statistics, and the interrelation between mathematical analysis, the theory of probability, and mathematical statistics. The topics will interest postgraduate and research mathematicians.
More details
Series
Language
English
Place of publication
Cambridge
United Kingdom
Target group
Professional and scholarly
Product notice
Paperback (trade)
Illustrations
Worked examples or Exercises
Dimensions
Height: 229 mm
Width: 152 mm
Thickness: 18 mm
Weight
484 gr
ISBN-13
978-0-521-28590-2 (9780521285902)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
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Other editions
Additional editions

J. F. C. Kingman | G. E. H. Reuter
Probability, Statistics and Analysis
E-Book
05/2013
1st Edition
Cambridge University Press
€61.99
Available for download
Content
1. The asymptotic speed and shape of a particle system D. Aldous and J. Pitman; 2. On doubly stochastic population processes M. S. Bartlett; 3. On limit theorems for occupation times N. H. Bingham and J. Hawkes; 4. The Martin boundary of two dimensional Ornstein-Uhlenbeck processes M. Cranston, S. Orey and U. Roesler; 5. Green's and Dirichlet spaces for a symmetric Markov transition function E. B. Dynkin; 6. On a theorem of Kabanov, Liptser and Sirjaev G. K. Eagleson and R. F. Gundy; 7. Oxford Commemoration Ball J. M. Hammersley; 8. Invariant measures and the q-matrix F. P. Kelly; 9. The appearance of a multivariate exponential distribution in sojourn times for birth-death and diffusion processes J. T. Kent; 10. Three unsolved problems in discrete Markov theory J. F. C. Kingman; 11. The electrostatic capacity of an ellipsoid P. A. P. Moran; 12. Stationary one-dimensional Markov random fields with a continuous state space F. Papangelou; 13. A uniform central limit theorem for partial-sum processes indexed by sets R. Pyke; 14. Multidimensional randomness B. D. Ripley; 15. Some properties of a test for multimodality based on kernel density estimates B. W. Silverman; 16. Criteria for rates of convergence of Markov chains, with application to queueing and storage theory R. L. Tweedie; 17. Competition and bottle-necks P. Whittle.