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

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 facts have had a unprecedented influence, this number of papers via significant statistical researchers offers an summary of present advancements throughout a variety of learn parts. Contributing authors and themes comprise: O.E. Barndorff-Nielsen (Aarhus): information and Physics; A.C. Davison (Lausanne): Statistical tools; S. Darby (Oxford): Epidemiology; D. Firth (Warwick): Social records; P. corridor (Canberra): Nonparametrics; V.S.Isham (University collage, 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 types; S.L. Zeger (Johns Hopkins): Biostatistics. compatible for college students of facts in any respect degrees from complicated undergraduate to publish graduate, for working towards statisticians, and information analysts, and for information and cognate fields, this publication is a becoming tribute to Sir David Cox and his large impact on glossy records.

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

**Sample text**

These include eﬀects on such issues as the possible fade-out and re-emergence of an infection, the prediction of the course of an individual realization of an epidemic, and the determination of the appropriate period of application of a control treatment. The purposes for which models are developed are many and varied. The suitability of a model and the appropriateness of the assumptions on which it is based depend entirely on its purpose. Models may be used for a careful exposition of issues and general understanding of transmission dynamics, to reach general qualitative conclusions, or for real-time use in a particular epidemic.

R. Cox up to 2004 23 Fitzmaurice, G. , Heath, A. H. and Cox, D. R. (1997). Detecting overdispersion in large-scale surveys: Application to a study of education and social class in Britain (with discussion). J. R. Statist. Soc. C , 46, 415–432. Cox, D. R. (1998). Components of variance: a miscellany. Statistical Methods in Medical Research, 7, 3–12. Cox, D. R. (1998). Some remarks on statistical education. J. R. Statist. Soc. D, 47, 211–213. Cox, D. R. (1998). Statistics, overview. In Encyclopedia in Biostatistics, 6, P.

And Northrop, P. (2000). Statistical modelling and analysis of spatial patterns. In The Geometry of Ecological Systems, U. Dieckman, R. Law and J. A. J. ). Cambridge University Press, 65–88. Cox, D. R. and Reid, N. (2000). The Theory of the Design of Experiments. London: Chapman and Hall/CRC Press. Cox, D. R. and Wermuth, N. (2000). On the generation of the chordless four-cycle. Biometrika, 87, 206–212. Gravenor, M. , Cox, D. , Hoinville, L. , Hoek, A. and McLean, A. R. (2000). Scrapie in Britain during the BSE years.