Download Celebrating Statistics: Papers in honour of Sir David Cox on by Anthony C. Davison, Yadolah Dodge, Nanny Wermuth PDF

By Anthony C. Davison, Yadolah Dodge, Nanny Wermuth

Originating from a gathering celebrating the eightieth birthday of Sir David Cox, the eminent Oxford student whose many vital and penetrating contributions to fashionable information have had a unprecedented effect, this number of papers by way of significant statistical researchers presents an outline of present advancements throughout quite a lot of learn parts. Contributing authors and themes contain: O.E. Barndorff-Nielsen (Aarhus): records and Physics; A.C. Davison (Lausanne): Statistical tools; S. Darby (Oxford): Epidemiology; D. Firth (Warwick): Social facts; P. corridor (Canberra): Nonparametrics; V.S.Isham (University university, London): Stochastic Modelling; P. McCullagh (Chicago): Statistical versions; N. Reid (Toronto): Asymptotics; B.D. Ripley (Oxford): Statistical computing; I. Rodriguez-Iturbe (Princeton): Statistical hydrology; A. Rotnitsky (Harvard): Semiparametrics; N. Shepard (Oxford): Statistical econometrics; N> Wermuth (Mainz): Graphical versions; S.L. Zeger (Johns Hopkins): Biostatistics. compatible for college students of information in any respect degrees from complicated undergraduate to submit graduate, for practising statisticians, and knowledge analysts, and for records and cognate fields, this booklet is a becoming tribute to Sir David Cox and his substantial effect on sleek data.

Show description

Read Online or Download Celebrating Statistics: Papers in honour of Sir David Cox on his 80th birthday (Oxford Statistical Science Series) PDF

Similar probability & statistics books

Stochastic Storage Processes: Queues, Insurance Risk, Dams, and Data Communication

It is a revised and extended model of the sooner version. the recent fabric is on Markov-modulated garage techniques bobbing up from queueing and knowledge commu­ nication types. The research of those versions is predicated at the fluctuation idea of Markov-additive techniques and their discrete time analogues, Markov random walks.

Regression and factor analysis applied in econometrics

This e-book bargains with the equipment and useful makes use of of regression and issue research. An exposition is given of standard, generalized, - and three-stage estimates for regression research, the strategy of crucial parts being utilized for issue research. whilst developing an econometric version, the 2 methods of study supplement one another.

Additional resources for Celebrating Statistics: Papers in honour of Sir David Cox on his 80th birthday (Oxford Statistical Science Series)

Example text

G. (1977). Design and analysis of randomized clinical trials requiring prolonged observation of each patient. II Analysis and Examples. British J. Cancer , 35, 1–39. Cox, D. R. (1978). Foundations of statistical inference: The case for eclecticism (with discussion). J. Australian Statist. , 20, 43–59. Cox, D. R. (1978). Queues. International Encyclopaedia of Statistics, W. H. Kruskal and J. W. ), Volume 2, New York: Free Press/London: Collier Macmillan, 834– 838. Cox, D. R. (1978). Some remarks on the role in statistics of graphical methods.

Health Statistics Quarterly, 17, 5–12. Cox, D. R. (2003). Communication of risk: health hazards from mobile phones. J. R. Statist. Soc. A, 166, 241–246. Cox, D. R. (2003). Conditional and marginal association for binary random variables. Biometrika, 90, 982–984. Cox, D. R. (2003). Henry Ellis Daniels. Biographical Memoirs of Fellows of the Royal Society, 49, 133–146. Cox, D. R. (2003). Some remarks on statistical aspects of econometrics. In Stochastic Musings, J. ). Mahwah, New Jersey: Lawrence Erlbaum, 20–28.

In particular, if two populations have identical proportions of infectives and susceptibles at time t, then the expected proportions at time t + 1 will also be the same. If n is large and a single infective is introduced into a population of n − 1 susceptibles then, to a first approximation, p can be interpreted as the probability that there will be some spread of infection. In the last 80 years, deterministic and stochastic epidemic models, in both discrete and continuous time, have been much studied.

Download PDF sample

Rated 4.93 of 5 – based on 4 votes