Synopses & Reviews
The year 2001 marks the centenary of Biometrika, one of the world's leading academic journals in statistical theory and methodology. In celebration of this, the book brings together two sets of papers from the journal. The first are specially commissioned articles that review the history of the journal and the most important contributions made by papers in the journal to a number of important areas of statistical activity, including general theory and methodology, surveys and time sets. The second group are a selection of particularly seminal articles from the journal's first hundred years. In the process these papers give a full description of the general development of statistical science during the twentieth century.
Review
"I found it irresistible"--International Journal of Epidemiology
"Authoritative but accessible, the reviews provide an impressive survey of statistical science development during the twentieth century."--Publication of the International Statistical Institute
Table of Contents
Biometrika: The first 100 years,
D.R. CoxBiometrika Centenary: Theory and general methodology, A.C. Davison
One hundred years of the design of experiments on and off the pages of Biometrika, Anthony C. Atkinson and R.A. Bailey
Biometrika Centenary: Survival analysis, David Oakes
Biometrika Centenary: Nonparametrics, Peter Hall
Biometrika Centenary: Sample surveys, T.M.F. Smith
A personal journey through time series in Biometrika, Howell Tong
Selected Papers
The comparative advantages of systematic and randomized arrangements in the design of agricultural and biological experiments, F. Yates
The relation between measures of correlation in the universe of sample permutations, H.E. Daniels
The design of optimum multifactorial experiments, R.L. Plackett and J. Burman
Periodogram analysis and continuous spectra, M.S. Bartlett
On stationary processes in the plane, P. Whittle
Notes on bias in estimation, M.H. Quenouille
Studies in the History of Probability and Statistics. XX. Some early correspondence between W.S. Gossett, R.A. Fisher and Karl Pearson, with notes comments, E.S. Pearson
Monte Carlo sampling methods using Markov chains and their applications, W.K. Hastings
A general method for analysis of covariance structures, K.G. Jd"oreskog
Nonparametric roughness penalties for probability densities, I.J. Good and R.A. Gaskins