Contents: Jim Pitman, Poisson-Kingman partitions (1–34); Steven N. Evans, Diffusions on the simplex from Brownian motions on hypersurfaces (35–48); Anthony G. Pakes, Investigating the structure of truncated Lévy-stable laws (49–78); R. A. Bailey, Designs on association schemes (79–102); Cheryl E. Praeger and Csaba Schneider, Ordered triple designs and wreath products of groups (103–113); Gordon K. Smyth, Pearson’s goodness of fit statistic as a score test statistic (115–126); Harri T. Kiiveri, A Bayesian approach to variable selection when the number of variables is very large (127–143); Mark H. Hansen and Bin Yu, Minimum description length model selection criteria for generalized linear models (145–163); Deborah A. Nolan, Case studies in the mathematical statistics course (165–176); David R. Brillinger, Haiganoush K. Preisler and John W. Benoit, Risk assessment: a forest fire example (177–196); David A. Freedman and Kenneth W. Wachter, On the likelihood of improving the accuracy of the census through statistical adjustment (197–230); Darlene R. Goldstein, A brief introduction to genetics (231–235); Karl W. Broman, Naomichi Matsumoto, Sabrina Giglio, Christa Lese Martin, Jessica A. Roseberry, Orsetta Zuffardi, David H. Ledbetter and James L. Weber, Common long human inversion polymorphism on chromosome \(8p\) (237–245); William C. Navidi, Simon Tavaré and Norman Arnheim, The roles of mutation rate and selective pressure on observed levels of the human mitochondrial DNA deletion mtDNA\(^{4977}\) (247–258); Hongyu Zhao, Baolin Wu and Ning Sun, DNA-protein binding and gene expression patterns (259–274); Lei Li, Blind inversion needs distribution (BIND): general notion and case studies (275–293); David O. Nelson and Jane Fridlyand, Designing meaningful measures of read length for data produced by DNA sequencers (296–306); Sandrine Dudoit and Darlene R. Goldstein, Extensions to a score test for genetic linkage with identity by descent data (307–319); Jian Han and Rudy Guerra, Cost efficiency of genetic linkage studies using mixtures of selected sib-pairs (321–341); Andrew L. Strahs and Mary Sara McPeek, Multipoint fine-scale linkage disequilibrium mapping: importance of modeling background LD (343–366); John H. Maindonald, Yvonne E. Pittelkow and Susan R. Wilson, Some considerations for the design of microarray experiments (367–390); Rafael A. Irizarry, Measures of gene expression for affymetrix high density oligonucleotide arrays (391–402); Yee Hwa Yang and Natalie P. Thorne, Normalization for two-color cDNA microarray data (403–418); Shili Lin and Roxana Alexandridis, Classification of tissue samples using mixture modeling of microarray gene expression data (419–435).
The articles will be reviewed individually.