نتایج جستجو برای: acceptance sampling

تعداد نتایج: 265139  

2006
Iain Murray Zoubin Ghahramani David J. C. MacKay

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...

Journal: :Monte Carlo Meth. and Appl. 2011
Reiichiro Kawai Hiroki Masuda

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...

2013
M. Sivapriya S. Pushpa

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...

Journal: :EURASIP J. Information Security 2010
Vladimir B. Balakirsky A. J. Han Vinck

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...

2012
Aikaterini Fountoulaki Nikos Karacapilidis Manolis Manatakis

This paper proposes an innovative methodology for Acceptance Sampling by Variables, which is a particular category of Statistical Quality Control dealing with the assurance of products quality. Our contribution lies in the exploitation of machine learning techniques to address the complexity and remedy the drawbacks of existing approaches. More specifically, the proposed methodology exploits Ar...

2002
William Yu

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...

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