COMPSTAT. Proceedings of the 14th symposium on computational statistics, Utrecht, Netherlands, August 21--25, 2000 (Q2716088)

The articles of this volume will be reviewed individually. The preceding symposium (13th, 1998) has been reviewed (see Zbl 0945.00026).NEWLINENEWLINEIndexed articles:NEWLINENEWLINE\textit{Rubin, Donald B.}, The broad role of multiple imputation in statistical science, 3-14 [Zbl 1446.62021]NEWLINENEWLINE\textit{Kooiman, P.; Kroese, A. H.; Renssen, R. H.}, Official statistics: an estimation strategy for the IT-era, 15-26 [Zbl 1446.62017]NEWLINENEWLINE\textit{Bertolino, Francesco; Moreno, Elias; Racugno, Walter}, Bayesian model selection methods for nonnested models, 29-40 [Zbl 1446.62010]NEWLINENEWLINE\textit{Cressie, Noel; Mugglin, Andrew S.}, Spatio-temporal hierarchical modeling of an infectious disease from (simulated) count data, 41-52 [Zbl 1455.62210]NEWLINENEWLINE\textit{de Falguerolles, Antoine}, GBMs: GLMs with bilinear terms, 53-64 [Zbl 1455.62145]NEWLINENEWLINE\textit{Deville, Jean-Claude}, Generalized calibration and application to weighting for non-response, 65-76 [Zbl 1455.62038]NEWLINENEWLINE\textit{Hand, David J.}, Methodological issues in data mining, 77-85 [Zbl 1455.62014]NEWLINENEWLINE\textit{Hébrail, Georges}, Practical data mining in a large utility company, 87-95 [Zbl 1455.62225]NEWLINENEWLINE\textit{Lee, Youngjo; Nelder, John A.}, HGLMs for analysis of correlated non-normal data, 97-107 [Zbl 1455.62146]NEWLINENEWLINE\textit{Lütkepohl, Helmut}, Bootstrapping impulse responses in VAR analyses, 109-119 [Zbl 1455.62175]NEWLINENEWLINE\textit{Maravall, Agustín; Sánchez, Fernando J.}, An application of TRAMO-SEATS; model selection and out-of-sample performance. The Swiss CPI series, 121-130 [Zbl 1455.62178]NEWLINENEWLINE\textit{Neuwirth, Erich}, Spreadsheets as tools for statistical computing and statistics education, 131-138 [Zbl 1473.97040]NEWLINENEWLINE\textit{Rousseeuw, Peter J.; van Aelst, Stefan}, An algorithm for deepest multiple regression, 139-150 [Zbl 1455.62139]NEWLINENEWLINE\textit{van Houwelingen, Hans C.; Eilers, Paul H. C.}, Non-proportional hazards models in survival analysis, 151-160 [Zbl 1455.62196]NEWLINENEWLINE\textit{Verbyla, Arūnas; Lorimer, Michelle; Stevens, Robert}, A spatio-temporal analysis of a field trial, 161-172 [Zbl 1455.62213]NEWLINENEWLINE\textit{Aguilera, A. M.; Escabias, M.}, Principal component logistic regression, 175-180 [Zbl 1455.62144]NEWLINENEWLINE\textit{Alonso, Andrés M.; Peña, Daniel; Romo, Juan}, Sieve bootstrap prediction intervals, 181-186 [Zbl 1455.62166]NEWLINENEWLINE\textit{Ambroise, Christophe; Govaert, Gérard}, Clustering by maximizing a fuzzy classification maximum likelihood criterion, 187-192 [Zbl 1455.62132]NEWLINENEWLINE\textit{Bárcena, M. J.; Tusell, F.}, Tree-based algorithms for missing data imputation, 193-198 [Zbl 1455.62041]NEWLINENEWLINE\textit{Barnard, John}, MiPy: a system for generating multiple imputations, 199-204 [Zbl 1455.62042]NEWLINENEWLINE\textit{Bartels, Knut}, A linear approximation to the wild bootstrap in specification testing, 205-210 [Zbl 1455.62133]NEWLINENEWLINE\textit{Becker, Claudia}, The size of the largest nonidentifiable outlier as a performance criterion for multivariate outlier identification: the case of high-dimensional data, 211-216 [Zbl 1455.62008]NEWLINENEWLINE\textit{Bernaards, Coen A.}, The influence of data generation and imputation methods on the bias of factor analysis of rating scale data, 217-222 [Zbl 1455.62215]NEWLINENEWLINE\textit{Biernacki, Christophe; Beninel, Farid; Bretagnolle, Vincent}, Model on a population and prediction on another one: a generalized discriminant rule, 223-228 [Zbl 1455.62122]NEWLINENEWLINE\textit{Buzzigoli, Lucia; Giusti, Antonio}, Disclosure control on multi-way tables by means of the shuttle algorithm: extensions and experiments, 229-234 [Zbl 1455.62009]NEWLINENEWLINE\textit{Cappelli, Carmela; Shannon, William D.}, An MLE strategy for combining optimally pruned decision trees, 235-240 [Zbl 1455.62010]NEWLINENEWLINE\textit{Conversano, Claudio; Mola, Francesco}, Semi-parametric models for data mining, 241-246 [Zbl 1455.62011]NEWLINENEWLINE\textit{Corduas, Marcella}, Preliminary estimation of ARFIMA models, 247-252 [Zbl 1455.62168]NEWLINENEWLINE\textit{Darius, P.; Ottoy, J-P.; Solomin, A.; Thas, O.; Raeymaekers, B.; Michiels, S.}, A collection of applets for visualizing statistical concepts, 253-258 [Zbl 1458.97004]NEWLINENEWLINE\textit{Davies, P. L.; Kovac, A.}, Non-parametric regression and density estimation under control of modality, 259-264 [Zbl 1455.62083]NEWLINENEWLINE\textit{Davino, Cristina; Esposito, Vincenzo}, Multivariate approaches for aggregate time series, 265-270 [Zbl 1455.62169]NEWLINENEWLINE\textit{De Iaco, S.; Posa, D.}, Some space-time models: an application to NO\(_2\) pollution in an urban area, 271-276 [Zbl 1455.62214]NEWLINENEWLINE\textit{De Waal, Ton}, SLICE: generalised software for statistical data editing and imputation, 277-282 [Zbl 1455.62006]NEWLINENEWLINE\textit{Denteneer, Dee}, Improved PCB inspection: computational issues, 283-288 [Zbl 1455.62224]NEWLINENEWLINE\textit{Dreesman, Johannes M.}, Optimization of the antithetic Gibbs sampler for Gaussian Markov random fields, 289-294 [Zbl 1455.62012]NEWLINENEWLINE\textit{Dyckerhoff, Rainer}, Computing zonoid trimmed regions of bivariate data sets, 295-300 [Zbl 1455.62013]NEWLINENEWLINE\textit{Filzmoser, P.; Dehon, C.; Croux, C.}, Outlier resistant estimators for canonical correlation analysis, 301-306 [Zbl 1455.62114]NEWLINENEWLINE\textit{Fried, Roland}, Graphical and phase space models for univariate time series, 307-312 [Zbl 1455.62171]NEWLINENEWLINE\textit{Gilchrist, Robert; Drinkwater, Denise}, The use of the Tweedie distribution in statistical modelling, 313-318 [Zbl 1455.62044]NEWLINENEWLINE\textit{Guègan, Dominique; Lisi, Francesco}, Predictive dimension: an alternative definition to embedding dimension, 319-324 [Zbl 1455.62189]NEWLINENEWLINE\textit{Huisman, Mark}, Post-stratification to correct for nonresponse: classification of ZIP code areas, 325-330 [Zbl 1455.62219]NEWLINENEWLINE\textit{Humphreys, K.; Titterington, D. M.}, Approximate Bayesian inference for simple mixtures, 331-336 [Zbl 1455.62125]NEWLINENEWLINE\textit{Kolev, Nikolai; Paiva, Delhi}, Correlated INAR(1) process, 337-342 [Zbl 1455.62173]NEWLINENEWLINE\textit{Kropf, Siegfried}, Confidence regions for stabilized multivariate tests, 343-348 [Zbl 1455.62111]NEWLINENEWLINE\textit{Maharaj, Elizabeth Ann}, Comparison of stationary time series using distribution-free methods, 349-354 [Zbl 1455.62177]NEWLINENEWLINE\textit{Marshall, Roger J.}, Generation of Boolean classification rules, 355-360 [Zbl 1455.62127]NEWLINENEWLINE\textit{Nakano, Junji; Fujiwara, Takeshi; Yamamoto, Yoshikazu; Kobayashi, Ikunori}, A statistical package based on Pnuts, 361-366 [Zbl 1455.62007]NEWLINENEWLINE\textit{Núñez, Marlon}, Generalized regression trees, 367-372 [Zbl 1455.62016]NEWLINENEWLINE\textit{Pan, Jian-Xin; Thompson, Robin}, Generalized linear mixed models: an improved estimating procedure, 373-378 [Zbl 1455.62147]NEWLINENEWLINE\textit{Pebesma, Edzer J.; Karssenberg, Derek; de Jong, Kor}, The stochastic dimension in a dynamic GIS, 379-384 [Zbl 1455.62018]NEWLINENEWLINE\textit{Pison, G.; Rousseeuw, P. J.; Filzmoser, P.; Croux, C.}, A robust version of principal factor analysis, 385-390 [Zbl 1455.62119]NEWLINENEWLINE\textit{Prat, Albert; Gomez, Victor; Solé, Ignasi; Catot, Josep M.}, TESS: system for automatic seasonal adjustment and forecasting of time series, 391-396 [Zbl 1455.62182]NEWLINENEWLINE\textit{Rezanková, Hana; Marek, Luboš}, The BADAME project, 397-402 [Zbl 1455.62019]NEWLINENEWLINE\textit{Robertson, Dale A.}, Improving statistics Canada's cell suppression software (CONFID), 403-408 [Zbl 1455.62020]NEWLINENEWLINE\textit{Rönz, Bernd; Müller, Marlene; Ziegenhagen, Uwe}, The multimedia project MM*STAT for teaching statistics, 409-414 [Zbl 1458.97005]NEWLINENEWLINE\textit{de Oliveira, M. Rosário; Branco, João A.}, Projection pursuit approach to robust canonical correlation analysis, 415-420 [Zbl 1455.62112]NEWLINENEWLINE\textit{Rousseeuw, Peter J.; van Driessen, Katrien}, A fast algorithm for highly robust regression in data mining, 421-426 [Zbl 1455.62021]NEWLINENEWLINE\textit{Savický, Petr; Klaschka, Jan; Antoch, Jaromír}, Optimal classification trees, 427-432 [Zbl 1455.62128]NEWLINENEWLINE\textit{Schimek, Michael G.}, GAM spline algorithms: a direct comparison, 433-438 [Zbl 1455.62022]NEWLINENEWLINE\textit{Schuster, Ernst}, Markov chain Monte Carlo methods for handling missing covariates in longitudinal mixed models, 439-444 [Zbl 1455.62023]NEWLINENEWLINE\textit{Sebastiani, Paola; Ramoni, Marco}, Robust Bayesian classification, 445-450 [Zbl 1455.62129]NEWLINENEWLINE\textit{Sijtsma, Klaas}, Social science measurement by means of item response models, 451-456 [Zbl 1455.62040]NEWLINENEWLINE\textit{Simpson, Andrew; Wilkinson, Darren J.}, Multivariate DLMs for forecasting financial time series, with application to the management of portfolios, 457-462 [Zbl 1455.62207]NEWLINENEWLINE\textit{Struyf, Anja; Rousseeuw, Peter J.}, An algorithm for the multivariate Tukey median, 463-468 [Zbl 1455.62024]NEWLINENEWLINE\textit{The Diverse Populations Collaborative Group}, Analyzing and synthesizing information from a multiple-study database, 469-474 [Zbl 1455.62212]NEWLINENEWLINE\textit{Tsujitani, Masaaki; Koshimizu, Takashi}, Bootstrapping neural discriminant model, 475-480 [Zbl 1455.62130]NEWLINENEWLINE\textit{Verboven, Sabine; Rousseeuw, Peter J.; Hubert, Mia}, An improved algorithm for robust PCA, 481-486 [Zbl 1455.62121]NEWLINENEWLINE\textit{Vos, Hans J.}, Applying techniques of dynamic programming to sequential mastery testing, 487-492 [Zbl 1455.62025]NEWLINENEWLINE\textit{Westlake, Andrew}, The introduction of formal structure into the processing of statistical summary data, 493-498 [Zbl 1455.62026]NEWLINENEWLINE\textit{Wilhelm, Adalbert; Hofmann, Heike}, Validation of association rules by interactive mosaic plots, 499-504 [Zbl 1455.62221]NEWLINENEWLINE\textit{Willenborg, Leon}, Optimality models for PRAM, 505-510 [Zbl 1455.62027]NEWLINENEWLINE\textit{Wittkowski, Knut M.}, Dealing with real ordinal data: recent advances in analyzing tied, censored, and multivariate observations, 511-516 [Zbl 1455.62028]NEWLINENEWLINE\textit{Wolf-Ostermann, Karin}, Testing for differences in location: a comparison of bootstrap methods in the small sample case, 517-522 [Zbl 1455.62029]NEWLINENEWLINE\textit{Yamamoto, Wataru; Shinozaki, Nobuo}, Two principal points for location mixtures, 523-528 [Zbl 1455.62131]NEWLINENEWLINE\textit{Yee, Thomas W.}, Vector splines and other vector smoothers, 529-534 [Zbl 1455.62091]