Wavelet shrinkage has been proposed as a highly adaptable approach to signal smoothing, which can produce optimum results in some senses. This paper examines the performance of the method as a function of its parameters, by simulation for time series showing gradual, rapid and discontinuous...

This paper presents a procedure for the selection of CSP-M one-level skip-lot sampling plans, designated as CSP-MSkSP, that have a single-sampling plan with acceptance number zero as the reference plan. The parameters of the plan are determined when two points on the operating characteristic...

Conditional parametric bootstrapping is defined as the samples obtained by performing the simulations in such a way that the estimator is kept constant and equal to the estimate obtained from the data. Order statistics of the bootstrap replicates of the parameter chosen in each simulation...

Latent variable structural models and the partial least-squares (PLS) estimation procedure have found increased interest since being used in the context of customer satisfaction measurement. The well-known property that the estimates of the inner structure model are inconsistent implies biased...

In this paper, the robustness of weighted non-linear least-squares estimation based on some preliminary estimators is examined. The preliminary estimators are the Lnorm estimates proposed by Schlossmacher, by El-Attar et al., by Koenker and Park, and by Lawrence and Arthur. A numerical example...

This paper highlights distributional connections between directional statistics and shape analysis. In particular, we provide a test of uniformity for highly dispersed shapes, using the standard techniques of directional statistics. We exploit the isometric transformation from triangular shapes...

Zellner has proposed a novel methodology for estimating structural parameters and predicting future observables based on two moments of a subjective distribution and the application of the maximum entropy principle-all in the absence of an explicit statistical model or likelihood function for...

Vaccine experiments with a binary outcome typically use a small number of animals for financial and ethical reasons. The choice of a design, characterized by the total number of animals and the allocation of animals to treated and control groups, needs to be based on an assessment of change in...

A method is described for fitting the Weibull distribution to failure-time data which may be left, right or interval censored. The method generalizes the auxiliary Poisson approach and, as such, means that it can be easily programmed in statistical packages with macro programming capabilities....

This paper applies the Markov Poisson regression methodology of Wang and Puterman to the analysis of seizure frequencies in an epilepsy clinical trial and counts of poliomyelitis cases. The analysis of the poliomyelitis data is compared with that of Zeger.