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We propose three scenarios, depending on numbers of patients enrolled. In the first scenario, we start with 8000 patients on ART and increase that number to 58 000 at the end of three years (those wer...
In recent times, complex computer models have received wide attention inscienticresearch. However, inorder tomakeconventional statistical statements regarding the scientic research, many expensive r...
A variety of simulation-based techniques have been proposed for detec- tion of divergent behaviour at each level of a hierarchical model. We investigate a diagnostic test based on measuring the coni...
Pickands constants appear in the asymptotic formulas for extremes of Gaussian processes. The explicit formula of Pickands constants does not exist. Moreover, in the literature there is no numerical ...
In this paper we demonstrate how to use the importance sampling method to simulate rare wmts in a germ-grain model. We analyze conditions under which two gerrn-grain models are mutually absolutely ...
Simulation Study for Misspecifications on a Frailty Model。
The weak limit of the normalized number of comparisons needed by the Quicksort algorithm to sort n randomly permuted items is known to be determined implicitly by a distributional point equation. We g...
This note extends the work of Foss and Tweedie (1998), who showed that availability of the classic Coupling from the Past (CFTP) algorithm of Propp and Wilson (1996) is essentially equivalent to unifo...
We consider perfect simulation algorithms for locally stable point pro- cesses based on dominated coupling from the past. A version of the al- gorithm is developed which is feasible for processes wh...
We introduce a new method of Bayesian wavelet shrinkage for recon- structing a signal when we observe a noisy version. Rather than making the usual assumption that the wavelet coecients of the sign...
We shall propose a new computational scheme with the asymptotic method to achieve variance reduction of Monte Carlo simulation for numerical analysis particularly for finance. We not only provide gene...
Modeling supply chains is a pre-requisite for any supply chain improvement initiative. However, modeling supply chains is generally a complex and time consuming task. One way of working around this ...

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