Showing papers in "Statistical Methodology in 2008"

TL;DR: In this article, an inpainting algorithm based on a sparse representation of the data is developed to fill in and interpolate across the masked regions, to restore the stationarity of a partly incomplete CMB map and thus lower the impact of the gaps on nonlocal statistical tests.

TL;DR: In this paper, a sparsity-based component separation method is proposed for CMB data called Generalized Morphological Component Analysis (GMCA), which is formulated in a Bayesian maximum a posteriori (MAP) framework.

TL;DR: This paper derived the joint distribution of concomitants of two generalized order statistics and obtained their product moments for the Farlie-Gumbel-Morgenstern bivariate distribution.

TL;DR: In this article, the authors considered step-stress partially accelerated life tests when the lifetime of a product follows a Burr type XII distribution, and obtained the maximum likelihood estimates (MLEs) for the distribution parameters and acceleration factor.

TL;DR: In this article, the authors consider the variance estimation for population size estimators based on capture-recapture experiments and identify sources of variation: the variance due to estimation of the model parameters and the binomial variance resulting from sampling nn units from a population of size NN.

TL;DR: In this paper, the authors proposed to combine the hypothesis tests in the Haar domain with the decimated biorthogonal Haar transform instead of the classical Haar, which is normalized such that the p -values of Bi-Haar coefficients (p B H ) provide good approximation to those of Haar (p H ) for high-intensity settings or large scales.

TL;DR: In this paper, an empirical Bayes estimation method based on an exponential prior is proposed for motivating examples of binomial mixture distributions, which is shown to improve the estimation in motivating examples.

TL;DR: In this paper, the authors employ two Weibull extensions, the generalized Weibbull and the exponentiated Weibhaul families, which contain a rich variety of density shapes and tail lengths, and have their distribution functions and quantile functions available in closed form, making them convenient for obtaining the necessary percentiles and p -values.

TL;DR: A toolbox of known and newly developed approaches for analysing given categorical time series data visually, especially the rate evolution graph, the circle transformation, pattern histograms and control charts are promising.

TL;DR: In this article, the forecasting stage in the analysis of a univariate threshold-autoregressive model, with exogenous threshold variable, has been developed via the computation of the so-called predictive distributions.

TL;DR: Random sequential probability ratio test (RSPRT) as discussed by the authors was developed for deciding between a simple null hypothesis and a simple alternative hypothesis with preassigned Type I and II errors α, β.

TL;DR: Halloran et al. as discussed by the authors proposed a spatially adaptive extension of Leroux et al.'s prior to reflect the fact that the appropriate mix between local and global smoothing may not be constant across the region being studied.

TL;DR: Clinico-genomic tree models for survival outcomes which use recursive partitioning to subdivide the current data set into homogeneous subgroups of patients, each with a specific Weibull survival distribution are developed and used to identify potential genomic biomarkers worthy of further study.

TL;DR: In this article, a method based on local regularity analysis for detecting and removing artefact signatures in noisy interferometric signals is presented. But the method is not suitable for the detection and removal of anomalous signals.

TL;DR: Methods for estimating upper confidence limits on predicted extra risk and, by inverting the upper bands on risk, lower bounds on the benchmark dose, or BMD, at which a specific level of 'benchmark risk' is attained are derived.

TL;DR: In this paper, a partially sequential sampling procedure was proposed to develop a nonparametric method for simultaneous testing, which is motivated by an interesting investigation related to arsenic contamination in ground water.

TL;DR: In this article, the Escoufier operators are used to obtain a geometrical representation for the studies in a series and a model is developed assuming the normality of the vec of those operators.

TL;DR: In this paper, Liu et al. established the consistency and the asymptotic normality of the minimum Hellinger distance estimates of the parameters of a bilinear time series model.

TL;DR: In this paper, a kernel smoothed semiparametric hazard estimator and a kernel pre-smoothed Nelson-Aalen estimator were investigated, and the asymptotic normality of the proposed estimators was derived.

TL;DR: In this paper, the authors deal with the queue size distribution of an M x / G / 1 queue with a random set-up time and with a Bernoulli vacation schedule under a restricted admissibility policy.

TL;DR: In this article, the authors derived the maximum likelihood estimator (MLE) for the proportion ratio (PR) of responses between two treatments in closed form without the need of modeling the complicated relationship between patient compliance and patient's response.

TL;DR: In this paper, a more robust object detection technique capable of detecting faint sources, even those not seen at all epochs which will normally be smoothed out in traditional methods, is described.

TL;DR: In this article, the authors simulate polar plumes by forward modeling techniques in order to validate several assumptions concerning their nature and their temporal evolution, and the most recent and promising model is based on a Hidden Markov Tree.

TL;DR: A novel framework is proposed for the estimation of multiple sinusoids from irregularly sampled time series, where the spectrum is discretized on an arbitrarily thin frequency grid and the solution must be sparse, i.e. the amplitude of the spectrum must be zero almost everywhere.

TL;DR: In this article, for a positive integer s, 1 s ≤ n, the authors give characterization of distributions by means of E [ 1 s − 1 ∑ r = 1 s− 1 g ( X ( r, n, m, k ) | X ( s, n, m s, k ) = x ] = g ( x ) + g ( a + g( a + ) 2, ∀ x ∈ ( a, b ).

TL;DR: In this paper, the authors consider a parallel system with n independent components and derive an optimal reliability test plans which ensure the usual probability requirements on system reliability, and solve the associated nonlinear integer programming problem by a simple enumeration of integers over the feasible range.

TL;DR: In this article, robust nonparametric smoothers have been used to preserve edges in image denoising, and they should be able to estimate multivariate surfaces containing discontinuities on the basis of a random spatial sampling.

TL;DR: In this article, a classification method based on discriminant analysis of time series data with mean nonstationarity and sequential missing, and a measurement technique for investigating the configuration similarities for classification was proposed.

TL;DR: In this article, the authors proposed an E-M-algorithm-based approach for finding the maximum likelihood estimates of the parameters which assumes the weights in the mixture to be missing data.

TL;DR: In this paper, the authors considered nonparametric estimation of cure-rate based on mixture model under Case-1 interval censoring and proposed two estimators based on the NPMLE of the distribution function under this censoring model.