Search Results - "Sani, H. R. Nili"
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Aspects of Negative Dependence Structures
Published in Communications in statistics. Theory and methods (01-03-2013)“…In this article, several counterexamples are provided which show that some concepts of negative dependence are strictly stronger than others. An open problem…”
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The Kolmogrov-Feller type weak law of large numbers for APND random variables
Published in Communications in statistics. Theory and methods (17-12-2022)“…In this paper, we consider a special class of dependent random variables (APND) that contains negative dependent random variables classes(ND,PND,NUOD,NA,NLOD,)…”
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Non-stationary spatial autoregressive modeling for the prediction of lattice data
Published in Communications in statistics. Simulation and computation (02-11-2023)“…Spatial autoregressive models are usually used for stationary lattice random fields with a zero or fixed mean. However, many lattice random fields are…”
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Complete convergence for weighted sums of arrays of APND random variables
Published in Communications in statistics. Theory and methods (19-05-2018)“…In this note, we introduce a new class of dependent random variables (henceforth rvs), together with some its basic properties. This class includes independent…”
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Comparison of predictions by kriging and spatial autoregressive models
Published in Communications in statistics. Simulation and computation (03-07-2018)“…In geostatistics, the prediction of unknown quantities at given locations is commonly made by the kriging technique. In addition to the kriging technique for…”
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Summability methods and negatively associated random variables
Published in Journal of applied probability (2004)“…The paper studies convergence of sequences of negatively associated random variables under various summability methods. The results extend previously known…”
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Summability methods and negatively associated random variables
Published in Journal of applied probability (2004)“…The paper studies convergence of sequences of negatively associated random variables under various summability methods. The results extend previously known…”
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Journal Article