A statistical test for detecting genetic differentiation of subpopulations is described that uses
molecular variation in samples of DNA sequences from two or more localities. The statistical …

Since the seminal papers by Huber in the 1960s, M-estimation methods (also known as
estimating equation methods) have been increasingly important for asymptotic analysis and …

For testing problems of the form H 0 : v = v 0 with unknown nuisance parameter θ, various
methods are used to deal with θ. The simplest approach is exemplified by the t test where the …

The precise duplication of the eukaryotic genome is accomplished by carefully coordinating
the loading and activation of the replicative DNA helicase so that each replication origin is …

This book is for students and researchers who have had a first year graduate level
mathematical statistics course. It covers classical likelihood, Bayesian, and permutation inference; …

Complete genome duplication is essential for genetic homeostasis over successive cell
generations. Higher eukaryotes possess a complex genome replication program that involves …

Generalizations of Rao's score test are receiving increased attention, especially in the
econometrics and biostatistics literature. These generalizations are able to account for certain …

A weighted Cramér-von Mises distance between the empirical distribution function and the
assumed model F 0 (x - θ) is minimized to produce estimators θ n that are asymptotically …

… In my younger days I would have argued that they should have obtained a p value from the
nonparametric bootstrap since Bartlett’s test is so sensitive to the normality assumption; see Boos …

P-values are useful statistical measures of evidence against a null hypothesis. In contrast to
other statistical estimates, however, their sample-to-sample variability is usually not …