Journal of the Royal Statistical Society. Series C: Applied Statistics

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Mixture Models: Inference and Applications to Clustering.
Journal of the Royal Statistical Society. Series C: Applied Statistics - Tập 38 Số 2 - Trang 384 - 1989
David J. Hand, Geoffrey J. McLachlan, K. E. Basford
A Non-Parametric Approach to the Change-Point Problem
Journal of the Royal Statistical Society. Series C: Applied Statistics - Tập 28 Số 2 - Trang 126 - 1979
A. N. Pettitt
The Analysis of Multivariate Binary Data
Journal of the Royal Statistical Society. Series C: Applied Statistics - Tập 21 Số 2 - Trang 113 - 1972
D. R. Cox
Algorithm AS 62: A Generator for the Sampling Distribution of the Mann- Whitney U Statistic
Journal of the Royal Statistical Society. Series C: Applied Statistics - Tập 22 Số 2 - Trang 269 - 1973
L. C. Dinneen, B. C. Blakesley
Generalized Additive Models for Location, Scale and Shape
Journal of the Royal Statistical Society. Series C: Applied Statistics - Tập 54 Số 3 - Trang 507-554 - 2005
Robert A. Rigby, D. M. Stasinopoulos
SummaryA general class of statistical models for a univariate response variable is presented which we call the generalized additive model for location, scale and shape (GAMLSS). The model assumes independent observations of the response variable y given the parameters, the explanatory variables and the values of the random effects. The distribution for the response variable in the GAMLSS can be se... hiện toàn bộ
Radiocarbon Peat Chronologies and Environmental Change
Journal of the Royal Statistical Society. Series C: Applied Statistics - Tập 54 Số 4 - Trang 805-816 - 2005
Maarten Blaauw, J. Andrés Christen
Summary Raised bog peat deposits form important archives for reconstructing past changes in climate. Precise and reliable age models are of vital importance for interpreting such archives. We propose enhanced, Markov chain Monte Carlo based methods for obtaining age models from radiocarbon-dated peat cores, based on the assumption of piecewise linear accumulation. Included are automatic choice of ... hiện toàn bộ
Remark AS R94: A Remark on Algorithm AS 181: The W-test for Normality
Journal of the Royal Statistical Society. Series C: Applied Statistics - Tập 44 Số 4 - Trang 547 - 1995
Patrick Royston
Modelling Association Football Scores and Inefficiencies in the Football Betting Market
Journal of the Royal Statistical Society. Series C: Applied Statistics - Tập 46 Số 2 - Trang 265-280 - 1997
Mark Dixon, Stuart Coles
SUMMARY A parametric model is developed and fitted to English league and cup football data from 1992 to 1995. The model is motivated by an aim to exploit potential inefficiencies in the association football betting market, and this is examined using bookmakers’ odds from 1995 to 1996. The technique is based on a Poisson regression model but is complicated by the data structure and the dynamic natu... hiện toàn bộ
Space-Time Modelling with Long-Memory Dependence: Assessing Ireland's Wind Power Resource
Journal of the Royal Statistical Society. Series C: Applied Statistics - Tập 38 Số 1 - Trang 1 - 1989
John Haslett, Adrian E. Raftery
Remark AS R12: A Remark on Algorithm AS 6: Triangular Decomposition of a Symmetric Matrix
Journal of the Royal Statistical Society. Series C: Applied Statistics - Tập 23 Số 3 - Trang 477 - 1974
R. W. Farebrother, George D. W. Berry
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