Previously reported maximum-likelihood pairwise relatedness (r) estimator of Thompson and Milligan (M) was extended to allow for negative r estimates under the regression interpretation of r. This was achieved by establishing the equivalency of the likelihoods used in the kinship program and the likelihoods of Thompson. The new maximum-likelihood (ML) estimator was evaluated by Monte Carlo simu...

The asymptotic distribution of an M-estimator is studied when the underlying distribution is discrete. Asymptotic normality is shown to hold quite generally within the assumed parametric family. When the specification of the model is inexact, however, it is demonstrated that an M-estimator with a non-smooth score function, e.g. a Huber estimator, has a non-normal limiting distribution at certai...

This paper presents a technique for blind multiuser detection in asynchronous direct sequence-code division multiple access (DS-CDMA) systems over Nakagami-m fading channels with impulsive noise. A new Mestimator is proposed and analyzed for robustifying the detector. A closed-from expression for average error rate of DPSK signals is derived. Average probability of error is computed to evaluate...

inverse sampling design is generally considered to be appropriate technique when the population is divided into two subpopulations, one of which contains only few units. in this paper, we derive the horvitz-thompson estimator for the population mean under inverse sampling designs, where subpopulation sizes are known. we then introduce an alternative unbiased estimator, corresponding to post-str...

Parameter estimation is the first step in constructing any control chart. Most estimators of mean and dispersion are sensitive to the presence of outliers. The data may be contaminated by outliers either locally or globally. The exciting robust estimators deal only with global contamination. In this paper a robust estimator for dispersion is proposed to reduce the effect of local contamination ...

We derive the probability density of the ratio of components of the bivariate normal distribution with arbitrary parameters. The density is a product of two factors, the first is a Cauchy density, the second a very complicated function. We show that the distribution under study does not possess an expected value or other moments of higher order. Our particular interest is focused on the shape o...

Performance analysis of maximal-ratio combining receive diversity scheme over Nakagami-0.5 fading channels and its application to the multiuser detection for direct sequence-code division multiple access systems is presented in this paper. A new M-estimator, which performs well in the heavy-tailed impulsive noise, is proposed to robustify the detector. Further, the performance of Eigen mode tra...