Using a sample fiom Burr type XU distribution, Bayes prediction intervals are derived for the maximum and minimum of a future sample fromthe same distribution, but in the presence of a single outlier of the type 8,8. The prior of Q is assumed to be the gamma conjugate. A real example is given to illustrate the procedure. Also, the comparison between the values of the prediction bounds for dif...

In this paper, we propose a novel extrinsic calibration method for camera networks by analyzing tracks of pedestrians. First of all, we extract the center lines of walking persons by detecting their heads and feet in the camera images. We propose an easy and accurate method to estimate the 3D positions of the head and feet w.r.t. a local camera coordinate system from these center lines. We also...

High dimensional covariance estimation is known to be a difficult problem, has many applications and is of current interest to the larger statistical community. We consider the problem of estimating the covariance matrix of a multivariate normal distribution in the “large p small n” setting. Several approaches to high dimensional covariance estimation have been proposed in the literature. In ma...

An important part of classifying MOUT (Military Operations in Urban Terrain) team behaviors is recognizing subtle spatial relationships between physical entities: opponents waiting in ambush, teammates organizing around a rendez-vous point, and potentially dangerous cul-de-sacs. In this paper, we present a RANSAC (Random Sampling and Consensus) based algorithm for identifying spatial relationsh...

We address the collective matrix completion problem of jointly recovering a collection of matrices with shared structure from partial (and potentially noisy) observations. To ensure well– posedness of the problem, we impose a joint low rank structure, wherein each component matrix is low rank and the latent space of the low rank factors corresponding to each entity is shared across the entire c...

The Weibull distribution is a very popular distribution. It is called after Waladdi Weibull, a Swedish physicist. He used it in 1939 to analyze the breaking strength of materials. Since then it has been widely used for modelling phenomena with monotone failure rates. It is not useful for modelling phenomena with non monotone failure rates. The Weibull distribution has been shown to be useful fo...

OBJECTIVES Telomere length (TL) is commonly measured using quantitative PCR (qPCR). Although, easier than the southern blot of terminal restriction fragments (TRF) TL measurement method, one drawback of qPCR is that it introduces greater measurement error and thus reduces the statistical power of analyses. To address a potential source of measurement error, we consider the effect of well positi...

This paper is concerned with the estimation of Weibull generalized exponential distribution (WGED) parameters based on adaptive Type-II progressive (ATIIP) censored sample. Maximum likelihood (MLE), maximum product spacing (MPS), and Bayesian Markov chain Monte Carlo (MCMC) methods have been determined to find best method. The simulation used compare three ATIIP-censored sample, also, we made a...