Directory UMM :Data Elmu:jurnal:S:Stochastic Processes And Their Applications:Vol91.Issue2.2001:
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We study the asymptotic behaviour of non-linear functionals of regularizations by convolution of this process and apply these results to the estimation of the variance of
In Section 4 we obtain the asymptotic velocity of a second class particle for the zero-range process in a non-homogeneous environment and use this result to prove the main
It turns out that in this one-dimensional situation the (additional) mass production at a single point is enough to guarantee that the process does not exhibit local extinction
Following the strategy adopted in Section 4 for the Kawasaki dynamics, we divide the proof of Theorem 6.1 into three steps: Tightness, identication of the limit, and under
Hong (1995) has shown that if X 1 ; X 2 ; : : : are jointly symmetric, pairwise independent and identically distributed with a nite second moment, then the central limit theorem
We describe the structure of the nonlinear system for the coecients of diagonally implicit multistage integration methods for ordinary dierential equations. This structure is
Using the results of Kaas and Goovaerts (1985), this method is adapted in Section 3 to the case where only partial information on the marginals is available.. Then, in Section 4,
We then sought to determine if the various lipid, lipoprotein, and bilirubin ratios might improve our ability to predict CAD when combined with the estab- lished risk factors of
