Statistics and Computing, Volume 13

Volume 13, Number 1, February 2003

• Daniel Neuenschwander, Hansmartin Zeuner:
  Generating random numbers of prescribed distribution using physical sources. 5-11
  
• Matteo Fischetti, Juan José Salazar González:
  Partial cell suppression: A new methodology for statistical disclosure control. 13-21
  
• Christophe Croux, Peter Filzmoser, G. Pison, Peter J. Rousseeuw:
  Fitting multiplicative models by robust alternating regressions. 23-36
  
• Philip D. O'Neill:
  Perfect simulation for Reed-Frost epidemic models. 37-44
  
• Shu-Kay Ng, Geoffrey J. McLachlan:
  On the choice of the number of blocks with the incremental EM algorithm for the fitting of normal mixtures. 45-55
  
• Malene Højbjerre:
  Profile likelihood in directed graphical models from BUGS output. 57-66
  
• Nicholas T. Longford:
  An alternative to model selection in ordinary regression. 67-80
  
• David H. Foster:
  Automatic repeated-loess decomposition of data consisting of sums of oscillatory curves. 81
  

Volume 13, Number 2, April 2003

• R. Wayne Oldford:
  Editorial: Statistics and computing: Having an impact. 87-89
  
• John C. Liechty, Dennis K. J. Lin, James P. McDermott:
  Single-pass low-storage arbitrary quantile estimation for massive datasets. 91-100
  
• Anthony Y. C. Kuk:
  Automatic choice of driving values in Monte Carlo likelihood approximation via posterior simulations. 101-109
  
• Glenn Marion, Gavin Gibson, Eric Renshaw:
  Estimating likelihoods for spatio-temporal models using importance sampling. 111-119
  
• John E. Kolassa:
  Algorithms for approximate conditional inference. 121-126
  
• Rubén Fernández-Casal, Wenceslao González-Manteiga, Manuel Febrero-Bande:
  Flexible spatio-temporal stationary variogram models. 127-136
  
• David A. Van Dyk, Ruoxi Tang:
  The one-step-late PXEM algorithm. 137-152
  
• Kim Miller, Suneeta Ramaswami, Peter Rousseeuw, Joan Antoni Sellarès, Diane L. Souvaine, Ileana Streinu, Anja Struyf:
  Efficient computation of location depth contours by methods of computational geometry. 153-162
  
• Øyvind Langsrud:
  ANOVA for unbalanced data: Use Type II instead of Type III sums of squares. 163-167
  
• Jonathan J. Forster, John W. McDonald, Peter W. F. Smith:
  Markov chain Monte Carlo exact inference for binomial and multinomial logistic regression models. 169-177
  
• Anne Philippe, Christian P. Robert:
  Perfect simulation of positive Gaussian distributions. 179-186
  

Volume 13, Number 3, August 2003

• Paul Yau, Robert Kohn:
  Estimation and variable selection in nonparametric heteroscedastic regression. 191-208
  
• Mark J. Brewer:
  Discretisation for inference on normal mixture models. 209-219
  
• Shoufan Fang, George Z. Gertner, Svetlana Shinkareva, Guangxing Wang, Alan B. Anderson:
  Improved generalized Fourier amplitude sensitivity test (FAST) for model assessment. 221-226
  
• Murray Aitkin, Rob Foxall:
  Statistical modelling of artificial neural networks using the multi-layer perceptron. 227-239
  
• M. C. Jones, I. Koch:
  Dependence maps: Local dependence in practice. 241-255
  
• Dankmar Böhning:
  The EM algorithm with gradient function update for discrete mixtures with known (fixed) number of components. 257-265
  
• Richard J. Bolton, David J. Hand, Andrew R. Webb:
  Projection techniques for nonlinear principal component analysis. 267-276
  
• Harry Joe, John C. Nash:
  Numerical optimization and surface estimation with imprecise function evaluations. 277-286
  

Volume 13, Number 4, October 2003

• Leon Willenborg:
  Guest editorial: Introduction. 291-293
  
• Luisa Franconi, Julian Stander:
  Spatial and non-spatial model-based protection procedures for the release of business microdata. 295-305
  
• Silvia Polettini:
  Maximum entropy simulation for microdata protection. 307-320
  
• Jim Burridge:
  Information preserving statistical obfuscation. 321-327
  
• Krishnamurty Muralidhar, Rathindra Sarathy:
  A theoretical basis for perturbation methods. 329-335
  
• Silvia Polettini, Julian Stander:
  A comment on "A theoretical basis for perturbation methods" by Krishnamurty Muralidhar and Rathindra Sarathy. 337-338
  
• Krishnamurty Muralidhar, Rathindra Sarathy:
  A rejoinder to the comments by Polettini and Stander. 339-342
  
• Josep Domingo-Ferrer, Vicenç Torra:
  Disclosure risk assessment in statistical microdata protection via advanced record linkage. 343-354
  
• Menno Cuppen, Leon Willenborg:
  Source Data Perturbation and consistent sets of safe tables. 355-362
  
• Adrian Dobra, Alan F. Karr, Ashish P. Sanil:
  Preserving confidentiality of high-dimensional tabulated data: Statistical and computational issues. 363-370
  
• Jerome P. Reiter:
  Model Diagnostics for Remote Access Regression Servers. 371-380
  
• Barry Schouten, Marc Cigrang:
  Remote access systems for statistical analysis of microdata. 381-389