Proceedings in Computational Statistics 14th Symposium held in Utrecht, The Netherlands, 2000
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Köp båda 2 för 1732 krCapture-recapture methods have been used in biology and ecology for more than 100 years. However, it is only recently that these methods have become popular in the social and medical sciences to estimate the size of elusive populations such as ill...
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. Ltkepohl: Bootstrapping impulse responses in VAR analyses.- A. Maravall, F.J. Snchez: 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. Brcena, 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. Gugan, 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