the authors have developed methods to characterize and quantify uncertainty in acoustic environmental predictions. We have developed methods for reflecting this uncertainty in tactical systems such as senor performance prediction, search plan recommendation, and track and detect systems that rely on environmental inputs. Uncertainty in performance prediction can result from model error and unce...

For random samples of size n obtained from p-variate normal distributions, we consider the classical likelihood ratio tests (LRT) for their means and covariance matrices in the high-dimensional setting. These test statistics have been extensively studied in multivariate analysis, and their limiting distributions under the null hypothesis were proved to be chi-square distributions as n goes to i...

Recently Liu and Wang derived the likelihood ratio test (LRT) statistic and its asymptotic distribution for testing equality of two multinomial distributions vs. the alternative that the second distribution is larger in terms of increasing convex order (ICX). ICX is less restrictive than stochastic order and is a notion that has found applications in insurance and actuarial science. In this pap...

This paper presents a new voice activity detection (VAD) method using the Gaussian distribution and a uniformly most powerful (UMP) test. The UMP test is employed to derive the new decision rule based on likelihood ratio test (LRT). This method requires the Rayleigh distribution for the magnitude of the noisy spectral component and the adaptive threshold estimated from the noise statistics. Exp...

Complex transactions are part of the most commonly used systems. Substantial part of such transactions are business transactions. Usually, they coordinate complex interaction among multiple systems, so called Long Running Transactions (LRT). Well known roll-back mechanism does not suffice to handle faults in LRTs, therefore compensation mechanisms are introduced. However, introduced structures ...

This article describes a SAS macro to assess model fit of structural equation models by employing a test of the model-implied vanishing tetrads. Use of this test has been limited in the past, in part due to the lack of software that fully automates the test in a user-friendly way. The current SAS macro provides a straightforward method for researchers touse thevanishing tetrads impliedbymodels ...

UNLABELLED Estimating pairwise correlation from replicated genome-scale (a.k.a. OMICS) data is fundamental to cluster functionally relevant biomolecules to a cellular pathway. The popular Pearson correlation coefficient estimates bivariate correlation by averaging over replicates. It is not completely satisfactory since it introduces strong bias while reducing variance. We propose a new multiva...

We describe two methodologies for obtaining segmented regression estimators from massive training data sets. The first methodology, called Linear Regression Tree (LRT), is used for continuous response variables, and the second and complementary methodology, called Naive Bayes Tree (NBT), is used for categorical response variables. These are implemented in the IBM ProbE (Probabilistic Estimation...

This paper presents a new experimental approach to simulate projected autonomous driving styles based on the accelerations at three road profiles. This study was focused on the determination of ranges of accelerations in triaxial direction to simulate the autonomous driving experience. A special device, known as the Automatic Acceleration and Data controller (AUTOAccD), has been developed to gu...