We consider generalized pseudo empirical likelihood inferences for complex surveys. The method is based on a weighted version of the Kullback-Leibler (KL) distance for calibration estimation (Deville and Särndal, 1992) and includes the pseudo empirical likelihood estimator (Chen and Sitter, 1999; Wu and Rao, 2006) and the calibrated likelihood estimator (Tan, 2013) as special cases. We show tha...

water crisis resource management originates from limited resources has made it essential to study the prioritization of traditional and modern methods of sustainable water resource management. the objective of such studies is to provide a list of prioritized traditional and modern methods of sustainable water resource management. this research aims to study rainwater harvesting method and qanat...

In this article we report on a study of how to use the context tree weight-ing (CTW) algorithm for lossless image compression. This algorithm has been shown to perform optimally, in terms of redundancy, for a wide class of data sources. Our study shows that this algorithm can successfully be applied to image compression even in its basic form. We also report on possible modiica-tions of the bas...

Stray neutron exposures pose a potential risk for the development of secondary cancer in patients receiving proton therapy. However, the behavior of the ambient dose equivalent is not fully understood, including dependences on neutron spectral fluence, radiation weighting factor and proton treatment beam characteristics. The objective of this work, therefore, was to estimate neutron exposures r...

The paper presents a new variant of parameter estimation methods for discrete hidden Markov models(HMM) in speech recognition. This method makes use of a codeword dependent distribution normalization(CDDN) and a distance weighting by fuzzy contribution in dealing with the problems of robust state modeling in a FVQ based modeling. The proposed method is compared with the existing techniques usin...

r a 200 .007 : +886 2 tu.edu.t Summary We investigated the effectiveness of combining gauge observations and satellite-derived precipitation on flood forecasting. Two data merging processes were proposed: the first one assumes that the individual precipitation measurement is non-bias, while the second process assumes that each precipitation source is biased and both weighting factor and bias pa...

Extreme nonlinearity and exhibition of severe interaction effects of multivariable pH processes makes it an appropriate test bed for evaluation of advanced controllers. This paper studies different multiple model methods for Generalized Predictive Control using Independent Model approach (GPCI) with adaptive weighting matrices. New method for adaptive determination of weighting matrices, propos...

The distance measure is an important criterion in any clustering algorithm. This paper shows how fuzzy clustering results can be improved by introducing a weighting factor in the inter-objects distance measures. New weighted versions of four well-known distance measures are considered. These distances are tested, using the fuzzy c-means algorithm, on three datasets. Experimental results show th...

in many statistical systems, a type of survey called “sampling over time” is common, which repeats continuously over time. one method of sampling over time is panel survey. panel survey is a method in which a “fixed sample” is contacted during different waves. the most important challenge in a panel survey is debility in providing response from some sample units and having non-response that usu...