Markov Chain Monte Carlo (MCMC) algorithms are routinely used to draw samples from distributions with intractable normalization constants. However, standard MCMC algorithms do not apply to doublyintractable distributions in which there are additional parameter-dependent normalization terms; for example, the posterior over parameters of an undirected graphical model. An ingenious auxiliary-varia...

Exact yet simple simulation algorithms are developed for a wide class of Ornstein–Uhlenbeck processes with tempered stable stationary distribution of finite variation with the help of their exact transition probability between consecutive time points. Random elements involved can be divided into independent tempered stable and compound Poisson distributions, each of which can be simulated in th...

This study presents a stratified sampling plan for estimating accuracy of billing performance for the claims submitted to third party payers in healthcare systems. The population consists of hospital claims with amounts ranging from zero, hundreds, thousands, to rare high million dollars. Accuracy of the billing process is estimated by auditing a sample of claims with two measurements: the over...

Fingerprint is one of the most significant and traditional biometric trait and its uniqueness are exclusively determined by the local ridge characteristics and their relationships. However, in existing system, due to variations in impression condition, due to different stress level, ridge configuration, skin conditions, acquisition devices, noise etc, the accuracy of the system get affected. To...

We present a simple combinatorial construction for the mapping of the biometric vectors to short strings, called the passwords. A verifier has to decide whether a given vector can be considered as a corrupted version of the original biometric vector whose password is known or not. The evaluations of the compression factor, the false rejection/acceptance rates, are derived, and an illustration o...

In this manuscript, we developed resubmitted lots with group acceptance sampling plan for the lifetime of product follows odd generalized exponential log logistic distribution introduced by Rosaiah et al. (2016c). The values design parameters proposed are obtained which satisfying both producer’s as well consumer’s risk fixing experiment termination time. An application to industry is presented...

Much attention has been devoted to challenges related to ERP implementation. However, there is a wealth of papers that are focusing on cultural issues related to ERP depending the country they are implemented. The objective of this article is to analyze and to illustrate how project managers achieve ERP implementation whereas users face cultural changes concerning the way new tasks and business...

Reader Aids: Purpose: To widen state of the art Special math needed for explanation: Probability Special math needed to use results: None Results useful to: Reliability analysts and theoreticians Summary and Conclusions: We consider the problem of acceptance testing for a series system of n different components, each having an unknown, constant failure rate. Components are individually tested a...

The sample design of the Medical Expenditure Panel Survey (MEPS) is an overlapping panel design characterized by a multistage, complex area probability design that includes disproportionate sampling of specified policy relevant population groups. Standard methods of variance estimation which assume simple random sampling generally result in an under-estimation of variance, when used with data f...