COMPSTAT : proceedings in computational statistics, 14th symposium held in Utrecht, The Neitherlands, 2000
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書誌事項
COMPSTAT : proceedings in computational statistics, 14th symposium held in Utrecht, The Neitherlands, 2000
Physica-Verlag, c2000
- タイトル別名
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COMPSTAT 2000
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注記
"With 117 figures and 96 tables"
Includes bibliographical references and index
内容説明・目次
内容説明
This Volume contains the Keynote, Invited and Full Contributed papers presented at COMPSTAT 2000. A companion volume (Jansen & Bethlehem, 2000) contains papers describing the Short Communications and Posters. COMPST AT is a one week conference held every two years under the auspices of the International Association of Statistical Computing, a section of the International Statistical Institute. COMPST AT 2000 is jointly organised by the Department of Methodology and Statistics of the Faculty of Social Sciences of Utrecht University, and Statistics Netherlands. It is taking place from 21-25 August 2000 at Utrecht University. Previous COMPSTATs (from 1974-1998) were in Vienna, Berlin, Leiden, Edinburgh, Toulouse, Prague, Rome, Copenhagen, Dubrovnik, Neuchatel, Vienna, Barcelona and Bristol. The conference is the main European forum for developments at the interface between statistics and computing. This was encapsulated as follows on the COMPST A T 2000 homepage http://neon. vb.cbs.nlIrsml compstat. Statistical computing provides the link between statistical theory and applied statistics. As at previous COMPSTATs, the scientific programme will range over all aspects of this link, from the development and implementation of new statistical ideas through to user experiences 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. At COMPST AT 2000 there is a special interest in the interplay with official statistics. This is evident from papers in the area of computerised data collection, survey methodology, treatment of missing data, and the like.
目次
- Keynote papers: D.B. Rubin: The broad role of multiple imputation in statistical science.- P. Kooiman, a.H. Kroese, R.H. Renssen: Official Statistics: an estimation strategy for the IT-era.- Invited papers: F. Bertolino, E. Moreno, W. Racugno: Bayesian model selection methods for nonnested models.- N. Cressie, A.S. Mugglin: Spatio-temporal hierarchical modeling of an infectious disease from (simulated) count data.- A. de Falguerolles: GBMs: GLMs with bilinear terms.- J.-C. Deville: Generalized calibration and application to weighting for non-response.- D.J. Hand: Methodological issues in data mining.- G. Hebrail: Practical data mining in a large utility company.- Y. Lee and J.A. Nelder: HGLMs for analysis of correlated non-normal data.- H. Lutkepohl: Bootstrapping impulse responses in VAR analyses.- A. Maravall, F.J. Sanchez: An application of TRAMO-SEATS
- model selection and out-of-sample performance. The Swiss CPI series.- E. Neuwirth: Spreadsheets as tools for statistical computing and statistics education.- P.J. Rousseuuw, S. van Aelst: An algorithm for deepest multiple regression.- H.C. von Houwelingen, P.H.C. Eilers: Non-proportional hazards models in survival analysis.- A. Verbyla, M. Lorimer, R. Stevens: A spation-temporal analysis of a field trial.- Contributed papers: A.M. Aguilera, M. Escabias: Principal component logistic regression.- A.M. Alonso, D. Pena, J. Romo: Sieve bootstrap prediction intervals.- C. Ambroise, G. Govaert: Clustering by maximizing a fuzzy classification maximum likelihood.- M.J. Barcena, F. Tusell: Tree-based algorithms for missing data imputation.- J. Barnard: MiPy: a system for generating multiple imputations.- K. Bartels: A linear approximation to the wild bootstrap in specification testing.- C. Becker: The size of the largest nonidentifiable outlier as a performance criterion for multivariate outlier identification: the case of high-dimensional data.- C.A. Bernaards: The influence of datageneration and imputation methods on the bias of factor analysis of rating scale data.- C. Biernacki, F. Beninel, V. Bretagnolle: Model on a population and prediction on another one: a generalized discriminant rule.- L. Buzzigoli, A. Giusti: Disclosure control on multi-way tables by means of the shuttle algorithm: extensions and experiments.- C. Cappelli, W.D. Shannon: An MLE strategy for combining optimally pruned decision trees.- C. Conversano, F. Mola: Semi-parametric models for data mining.- M. Corduas: Preliminary estimation of ARFIMA models.- P. Darius, J.-P. Ottoy, A. Solomin, O. Thas, B. Raeymaekers, S. Michiels: A collection of applets for visualizing statistical concepts.- P.L. Davies, A. Kovac: Non-parametric regression and density estimation under control of modality.- C. Davino, V. Esposito: Multivariate approaches for aggregate time series.- S. De Iaco, D. Posa: Some space-time models: an application to NO2 pollution in an urban area.- T. de Waal: SLICE: generalised software for statistical data editing and imputation.- D. Denteneer: Improved PCB inspection: computational issues.- J.M. Dreesman: Optimization of the antithetic Gibbs sampler for Gaussian Markov random fields.- R. Dyckerhoff: Computing zonoid trimmed regions of bivariate data sets.- P. Filzmoser, C. Dehon, C. Croux: Outlier resistant estimators for canonical correlation analysis.- R. Fried: Graphical and phase space models for univariate time series.- R. Gilchrist, D. Drinkwater: The use of the Tweedie distribution in statistical modelling.- D. Guegan, F. Lisi: Predictive dimension: an alternative definition to embedding dimension.- M. Huisman: Post-stratification to correct for nonresponse: classification of ZIP code areas.- K. Humphreys, D.M. Titterington: Approximate Bayesian inference for simple mixtures.- N. Kolev, D. Paiva: Correlated INAR(1) process.- S. Kropf: Confidence regions for stabilized multivariate tests.- E.A. Maharaj: Comparision of stationary time series using
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