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9783790813265

Compstat

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  • ISBN13:

    9783790813265

  • ISBN10:

    3790813265

  • Format: Paperback
  • Copyright: 2000-10-01
  • Publisher: Physica Verlag
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Summary

This book contains the keynote, invited and full contributed papers presented at COMPSTAT 2000, held in Utrecht. The papers range over all aspects of the link between statistical theory and applied statistics, with special attention for developments in the area of official statistics. The papers have been thoroughly refereed.

Table of Contents

Keynote papers
The broad role of multiple imputation in statistical science
3(12)
D.B. Rubin
Official Statistics: an estimation strategy for the IT-era
15(14)
P. Kooiman
A.H. Kroese
R.H. Renssen
Invited papers
Bayesian model selection methods for nonnested models
29(12)
F. Bertolino
E. Moreno
W. Racugno
Spatio-temporal hierarchical modeling of an infectious disease from (simulated) count data
41(12)
N. Cressie
A.S. Mugglin
GBMs: GLMs with bilinear terms
53(12)
A. de Falguerolles
Generalized calibration and application to weighting for non-response
65(12)
J.-C. Deville
Methodological issues in data mining
77(10)
D.J. Hand
Practical data mining in a large utility company
87(10)
G. Hebrail
HGLMs for analysis of correlated non-normal data
97(12)
Y. Lee
J.A. Nelder
Bootstrapping impulse responses in VAR analyses
109(12)
H. Lutkepohl
An application of TRAMO-SEATS; model selection and out-of-sample performance. The Swiss CPI series
121(10)
A. Maravall
F.J. Sanchez
Spreadsheets as tools for statistical computing and statistics education
131(8)
E. Neuwirth
An algorithm for deepest multiple regression
139(12)
P.J. Rousseeuw
S. van Aelst
Non-proportional hazards models in survival analysis
151(10)
H.C. van Houwelingen
P.H.C. Eilers
A spatio-temporal analysis of a field trial
161(14)
A. Verbyla
M. Lorimer
R. Stevens
Contributed papers
Principal component logistic regression
175(6)
A.M. Aguilera
M. Escabias
Sieve bootstrap prediction intervals
181(6)
A.M. Alonso
D. Pena
J. Romo
Clustering by maximizing a fuzzy classification maximum likelihood criterion
187(6)
C. Ambroise
G. Govaert
Tree-based algorithms for missing data imputation
193(6)
M.J. Barcena
F. Tusell
MiPy: a system for generating multiple imputations
199(6)
J. Barnard
A linear approximation to the wild bootstrap in specification testing
205(6)
K. Bartels
The size of the largest nonidentifiable outlier as a performance criterion for multivariate outlier identification: the case of high-dimensional data
211(6)
C. Becker
The influence of data generation and imputation methods on the bias of factor analysis of rating scale data
217(6)
C.A. Bernaards
Model on a population and prediction on another one: a generalized discriminant rule
223(6)
C. Biernacki
F. Beninel
V. Bretagnolle
Disclosure control on multi-way tables by means of the shuttle algorithm: extensions and experiments
229(6)
L. Buzzigoli
A. Giusti
An MLE strategy for combining optimally pruned decision trees
235(6)
C. Cappeelli
W.D. Shannon
Semi-parametric models for data mining
241(6)
C. Conversano
F. Mola
Preliminary estimation of ARFIMA models
247(6)
M. Corduas
A collection of applets for visualizing statistical concepts
253(6)
P. Darius
J.-P. Ottoy
A. Solomin
O. Thas
B. Raeymaekers
S. Michiels
Non-parametric regression and density estimation under control of modality
259(6)
P.L. Davies
A. Kovac
Multivariate approaches for aggregate time series
265(6)
C. Davino
V. Esposito
Some space-time models: an application to NO2 pollution in an urban area
271(6)
S. De Iaco
D. Posa
SLICE: generalised software for statistical data editing and imputation
277(6)
T. de Waal
Improved PCB inspection: computational issues
283(6)
D. Denteneer
Optimization of the antithetic Gibbs sample for Gaussian Markov random fields
289(6)
J.M. Dreesman
Computing zonoid trimmed regions of bivariate data sets
295(6)
R. Dyckerhoff
Outlier resistant estimators for canonical correlation analysis
301(6)
P. Filzmoser
C. Dehon
C. Croux
Graphical and phase space models for univariate time series
307(6)
R. Fried
The use of the Tweedie distribution in statistical modelling
313(6)
R. Gilchrist
D. Drinkwater
Predictive dimension: an alternative definition to embedding dimension
319(6)
D. Guegan
F. Lisi
Post-stratification to correct for nonresponse: classification of ZIP code areas
325(6)
M. Huisman
Approximate Bayesian inference for simple mixtures
331(6)
K. Humphreys
D.M. Titterington
Correlated INAR(1) process
337(6)
N. Kolev
D. Paiva
Confidence regions for stabilized multivariate tests
343(6)
S. Kropf
Comparison of stationary time series using distribution-free methods
349(6)
E.A. Maharaj
Generation of Boolean classification rules
355(6)
R.J. Marshall
A statistical package based on Pnuts
361(6)
J. Nakano
T. Fujiwara
Y. Yamamoto
I. Kobayashi
Generalized regression trees
367(6)
M. Nunez
Generalized linear mixed models: an improved estimating procedure
373(6)
J.-X. Pan
R. Thompson
The stochastic dimension in a dynamic GIS
379(6)
E.J. Pebesma
D. Karssenberg
K. de Jong
A robust version of principal factor analysis
385(6)
G. Pison
P.J. Rousseeuw
P. Filzmoser
C. Croux
TESS: system for automatic seasonal adjustment and forecasting of time series
391(6)
A. Prat
V. Gomez
I. Sole
J.M. Catot
The BADAME project
397(6)
H. Rezankova
L. Marek
Improving Statistics Canada's cell suppression software (CONFID)
403(6)
D.A. Robertson
The multimedia project MM*STAT for teaching statistics
409(6)
B. Ronz
M. Muller
U. Ziegenhagen
Projection pursuit approach to robust canonical correlation analysis
415(6)
M. Rosario de Oliveira
J.A. Branco
A fast algorithm for highly robust regression in data mining
421(6)
P.J. Rousseeuw
K. van Driessen
Optimal classification trees
427(6)
P. Savicky
J. Klaschka
J. Antoch
GAM spline algorithms: a direct comparison
433(6)
M.G. Schimek
Markov Chain Monte Carlo methods for handling missing covariates in longitudinal mixed models
439(6)
E. Schuster
Robust Bayesian classification
445(6)
P. Sebastiani
M. Ramoni
Social science measurement by means of item response models
451(6)
K. Sijtsma
Multivariate DLMs for forecasting financial time series, with application to the management of portfolios
457(6)
A. Simpson
D.J. Wilkinson
An algorithm for the multivariate Tukey median
463(6)
A. Struyf
P.J. Rousseeuw
Analyzing and synthesizing information from a multiple-study database
469(6)
Bootstrapping neural discriminant model
475(6)
M. Tsujitani
T. Koshimizu
An improved algorithm for robust PCA
481(6)
S. Verboven
P.J. Rousseeuw
M. Hubert
Applying techniques of dynamic programming to sequential mastery testing
487(6)
H.J. Vos
The introduction of formal structure into the processing of statistical summary data
493(6)
A. Westlake
Validation of association rules by interactive mosaic plots
499(6)
A. Wilhelm
H. Hofmann
Optimality models for PRAM
505(6)
L. Willenborg
Dealing with real ordinal data: recent advances in analyzing tied, censored, and multivariate observations
511(6)
K. M. Wittkowski
Testing for differences in location: a comparison of bootstrap methods in the small sample case
517(6)
K. Wolf-Ostermann
Two principal points for location mixtures
523(6)
W. Yamamoto
N. Shinozaki
Vector splines and other vector smoothers
529(6)
T.W. Yee
Index of authors 535(2)
Index of keywords 537

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