The main advantages of variable sampling plans are the existence small sample size for effective decision and receiving good information on quality characteristics. But samples some time may lead to wrong during inspection lot can increase risk producer or consumer. same scenario happen in double triple also due sizes. control professionals suggest multiple when is very large. Hence an attempt ...

Multi-stage sampling designs are often used in household surveys because a frame of elements may not be available or for cost considerations when data collection involves face-to-face interviews. In this context, variance estimation is complex task as it relies on the availability second-order inclusion probabilities at each stage. To cope with issue, several bootstrap algorithms have been prop...

H. Aboushady, Y. Dumonteix, M. M. Louërat and H. Mehrez Université Paris VI, Laboratoire LIP6/ASIM 4, Place Jussieu, 75252 Paris Cedex 05, France Email: [email protected] , [email protected] Abstract—A power efficient multi-rate multi-stage Comb decimation filter for mono-bit and multi-bit A/D converters is presented. Polyphase decomposition in all stages, with high decimation fa...

We propose a tractable approximation scheme for convex (not necessarily linear) multi-stage robust optimization problems. We approximate the adaptive decisions by finite linear combinations of prescribed basis functions and demonstrate how one can optimize over these decision rules at low computational cost through constraint randomization. We obtain a-priori probabilistic guarantees on the fea...

The main focus of this paper is in a discussion of complexity of stochastic programming problems. We argue that two-stage (linear) stochastic programming problems with recourse can be solved with a reasonable accuracy by using Monte Carlo sampling techniques, while multi-stage stochastic programs, in general, are intractable. We also discuss complexity of chance constrained problems and multi-s...

Abstract In this research work we introduce a new sampling design, namely two-stage cluster sampling, where probability proportional to size with replacement is used in the first stage unit and ranked set second order address issue of marked variability sizes population units concerned sampling. We obtained an unbiased estimator mean total, as well variance estimator. calculated relative effici...

this paper presents a new strategy based on multi-stage fuzzy (msf) pid controller based on artificial bee colony (abc) for damping power system stabilizer (pss) in multi-machine environment. the recent studies in artificial intelligence demonstrated that the abc optimization is strong intelligent method in complicated stability problems. also, finding the parameters of pid controller in power ...

The multi-rate phenomenon of video unusual event is one of the factors to reduce the detection accuracy of video unusual event. Based on the infinite state Hidden Markov Model (iHMM), a multi-granularity detection algorithm for video unusual event is proposed. This algorithm first effectively extracts the feature sequence from the original data through subspace projection technique. Then the fe...