Quasi-Monte Carlo (QMC) methods have begun to displace ordinary Monte Carlo (MC) methods in many practical problems. It is natural and obvious to combine QMC methods with traditional variance reduction techniques used in MC sampling, such as control variates. There can, however, be some surprises. The optimal control variate coefficient for QMC methods is not in general the same as for MC. Usin...

Authenticating a node in mobile ad-hoc networks is a challenging task due to their dynamic and resource constraint infrastructure. For this purpose, MANETS adopt two kinds of approaches Public key cryptography and identity based cryptography. In Public Key Infrastructure (PKI), Certificate Authority (CA) is responsible for key management. In order to adopt it to MANET, the job of the CA must be...

Dissecting the luminosity function of the Coma cluster of galaxies by means of CFHT wide field images Abstract. By means of wide–field (42 × 28 arcmin) CCD images of the Coma cluster of galaxies and of control fields, taken at the Canada– France–Hawaii telescope with the CFH12K and UH8K cameras, we determine the luminosity function bi–variate in central brightness. We found a clear progression ...

We present a novel analytical method for assessing spatial and temporal structure in community samples that is useful for comparing large data-sets that include species abundance data. The model assumes that species numbers in two samples are drawn from a bi-variate Poisson log-normal species abundance distribution and parameters from the fitted distribution are estimated to assess community st...

Random variate generators are developed for the Poisson-Poisson (or generalized Poisson) distribution. The expected time per generated random variate is uniformly bounded over the parameter space. Random variate generation for related distributions is also discussed; these include the Abel and Ressel families, and a family introduced by Haight.

purpose we intended to determine predictor variables of anthropometry and training for marathon race time in recreational female runners in order to predict marathon race time for future novice female runners. methods anthropometric characteristics such as body mass, body height, body mass index, circumferences of limbs, thicknesses of skin-folds and body fat as well as training variables such ...

Most conventional law equation discovery systems such as BACON require experimental environments to acquire their necessary data. The mathematical techniques such as linear system identi cation and neural network tting presume the classes of equations to model given observed data sets. The study reported in this paper proposes a novel method to discover an admissible model equation from a given...

Note that the variance for ηi is normalized to one since we only observe the sign of Z ′ iγ + ηi. Therefore γ can only be identified up to a scale. A classical example of this two-equation model is the wage regression model, where Yi is the observed wage rate and Di is the labor supply decision, which is decided by the latent calculation that one’s expected wage rate is larger than her reservat...