In this paper, we propose a binomial tree based parallel load-balancing method (BINOTPLB) to deal with the load imbalance of solution-adaptive finite element application programs on distributed memory multicomputers. The main idea of the BINOTPLB method is first to construct a binomial tree based condensed processor graph. Based on the condensed processor graph, a prefix code tree is built. Fro...

this article focuses on the estimation of population proportion when the study variable is sensitive in nature. two implicit randomized response techniques are proposed where the unrelated trait can be chosen subjectively. in addition to unbiased estimation of population proportion and variance, an empirical study is conducted to inspect the relative efficiency facet of the proposed techniques....

UNLABELLED Developing a quantitative understanding of intracellular networks requires simulations and computational analyses. However, traditional differential equation modeling tools are often inadequate due to the stochasticity of intracellular reaction networks that can potentially influence the phenotypic characteristics. Unfortunately, stochastic simulations are computationally too intense...

This paper describes the frequency and number of Sphyrion laevigatum in the skin of Genypterus blacodes, an important economic resource in Chile. The analysis of a spatial distribution model indicated that the parasites tended to cluster. Variations in the number of parasites per host could be described by a negative binomial distribution. The maximum number of parasites observed per host was two.

Contents 1. Introduction 1 2. The central limit theorem 1 3. The normal approximation of the binomial distribution 2 4. The normal approximation of the mixed binomial distribution 4 5. The law of large numbers approximation of a mixed binomial distribution 6 6. Finding the mixed binomial distribution by using Monte Carlo simulations 6 6.

Abbreviations: FN: Fieller-type Intervals Applied on The Observed Proportions; BM: Binomial MOVER-R-Wilson Method After Summing-Up Observed Counts Across Replications; LOD: Asymptotic Method on The Log-Scale, Accounting for Overdispersion via Residual Variation; FOD: Fieller-Bailey-Type Interval Accounting For Over dispersion Via Residual Variance; LBB: Delta Method on The Log-Scale Under The B...

In this paper we re-examine the Geske-Johnson formula (1984) and extend the analysis by deriving a modified Geske-Johnson formula that can overcome the possibility of non-uniform convergence encountered in the original Geske-Johnson formula. Furthermore, we propose a numerical method, the repeated Richardson extrapolation, which is able to estimate the interval of true option values when the ac...