COMPSTAT: proceedings in computational statistics, 13th symposium held in Bristol, Great Britain 1998
Physica-Verlag, 1998 - Computers - 501 pages
These proceedings contain the refereed Invited and Full Contributed papers from the COMPSTAT conference.
Statistical computing provides the link between statistical theory and applied statistics. The scientific programme of COMPSTAT ranges over all aspects of this link, from the development and implementaion of new computer-based statistical methodology through to innovative applications and software evaluation. The programme should appeal to anyone working in statistics and using computers, whether in universities, industrial companies, research institutes or as software developers.
The Proceedings thus provide a broad overview of all currently-active research areas in statistical computing.
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Analysis of Clustered Multivariate Data from Developmental
Mortality Pattern Prediction in Worker Cohorts
CoVariance Structures for Linear Models in the Analysis
31 other sections not shown
algorithm applications approach approximation asymptotic bandwidth Bayes linear Bayesian calculated classification cluster coefficients column considered constraints convergence correlation corresponding covariance criterion curves data set deepest fit defined denote density described effects equation error estimates example exponential factors forecasting function Gaussian Genstat Gibbs sampling given graphical hidden Markov models independent interaction iteration Keywords label latent linear model long-range dependence Markov chain matrix maximum likelihood MCMC measure method mixture modules Monte Carlo multidimensional scaling multivariate node nonlinear nonparametric normal Numerical Algorithms Group observations obtained optimal parameters partition plot points posterior posterior distribution predictions predictor principal components prior distribution problem procedure projection pursuit proposed pruning random regression sample scale scores Section segments sequence server SHAZAM simulated smoothing spatial spline split standard stochastic stochastic process structure subset Table techniques threshold tion tree values variables variance vector wavelet