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ORCIDComputational Statistics, Volume 16
Volume 16, Number 1, March 2001
- Jian Cheng:
Sampling algorithms for estimating the mean of bounded random variables. 1-23 - Richard Dybowski, Peter R. Weller:
Prediciton regions for the visualization of incomplete datasets. 25-41 - Angelika van der Linde:
Estimating the smoothing parameter in generalized spline-based regression. 43-71 - Angelika van der Linde:
Estimating the smoothing parameter in generalized spline-based regression. 73-95 - Bora H. Onen, Dennis C. Dietz, Vincent C. Yen, Albert H. Moore:
Goodness-of-fit tests for the Cauchy distribution. 97-107 - Heng-Hui Lue
:
A study of sensitivity analysis on the method of Principal Hessian Directions. 109-130 - Jean-François Chamayou:
Pseudo random numbers for the Landau and Vavilov distributions. 131-152 - Oliver Linton:
Symmetrizing and unitizing transformations for linear smoother weights. 153-164 - Koon-Shing Kwong:
An algorithm for construction of multiple hypothesis testing. 165-171 - Beatriz Lacruz, Pilar Lasala, Alberto Lekuona:
Selecting dynamic graphical models with hidden variables from data. 173-194 - J. S. Marron, S. S. Chung:
Presentation of smoothers: the family approach. 195-207 - Cihat Polat:
Software Review. 209-219
Volume 16, Number 2, July 2001
- Michael K. Andersson, Sune Karlsson:
Bootstrapping Error Component Models. 221-231 - Jinhyo Kim, Sangwon Seo:
Fourier transformation can improve quadrature efficiency of Laplace distribution. 233-242 - Francisco Louzada-Neto:
Bayesian Analysis for Hazard Models with Non-constant Shape Parameter. 243-254 - M. V. Alba Fernández, D. Barrera Rosillo, María-Dolores Jiménez-Gamero:
A homogeneity test based on empirical characteristic functions. 255-270 - Cristina Butucea:
Numerical results concerning a sharp adaptive density estimator. 271-298 - Néli Maria Costa Mattos, Helio dos Santos Migon:
A Bayesian Analysis of Reliability in Accelerated Life Tests Using Gibbs Sampler. 299-312
Volume 16, Number 3, September 2001
- Heike Hofmann, Antony Unwin, Adalbert Wilhem:
Data Mining and Statistics - Introduction. 317-321 - Claudio Conversano, Francesco Mola, Roberta Siciliano:
Partitioning Algorithms and Combined Model Integration for Data Mining. 323-339 - Jorge Muruzábal:
Combining statistical and reinforcement learning in rule-based classification. 341-359 - Xiuju Fu, Lipo Wang:
Linguistic Rule Extraction From a Simplified RBF Neural Network. 361-372 - Ursula Becker, Ludwig Fahrmeir:
Bump Hunting for Risk: a New Data Mining Tool and its Applications. 373-386 - Dario Bruzzese, Cristina Davino:
Statistical Pruning of Discovered Association Rules. 387-398 - Heike Hofmann, Adalbert F. X. Wilhelm:
Visual Comparison of Association Rules. 399-415 - Natalia V. Andrienko, Gennady L. Andrienko, Peter Gatalsky:
Exploring Changes in Census Time Series with Interactive Dynamic Maps and Graphics. 417-433 - George Michailidis, Jan de Leeuw:
Data Visualization through Graph Drawing. 435-450 - Francesco Virili, Bernd Freisleben:
Neural Network Model Selection for Financial Time Series Prediction. 451-463 - Hizir Sofyan, Axel Werwatz:
Analyzing XploRe Download Profiles with Intelligent Miner. 465-479
Volume 16, Number 4, December 2001
- Robert Jernigan, Julie O'Connell:
Influence on Smoothness in Penalized Likelihood Regression for Binary Data. 481-504 - Cathy W. S. Chen, Tsai-Hung Cherng, Berlin Wu:
On the Selection of Subset Bilinear Time Series Models: a Genetic Algorithm Approach. 505-517 - Mark A. van de Wiel:
The split-up algorithm: a fast symbolic method for computing p-values of distribution-free statistics. 519-538 - Michel Wedel:
Computing the Standards Errors of Mixture Model Parameters with EM when Classes are Well Separated. 539-558 - Efthymios G. Tsionas:
Posterior Analysis of Stochastic Frontier Models with Truncated Normal Errors. 559-575
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