Science and engineering problems subject to uncertainty are frequently both computationally expensive feature nonsmooth parameter dependence, making standard Monte Carlo too slow, excluding efficient use of accelerated quantification methods relying on strict smoothness assumptions. To remedy these challenges, we propose an adaptive stratification method suitable for with significantly reduced ...

In this paper we discuss the importance sampling Monte Carlo methods for pricing options. The classical importance sampling method is used to eliminate the variance caused by the linear part of the logarithmic function of payoff. The variance caused by the quadratic part is reduced by stratified sampling. We eliminate both kinds of variances just by importance sampling. The corresponding space ...

The higher education environment in Pakistan has become very aggressive and universities have to struggle for recruiting highly intellectual students. The students have become consumerists due to increasing fees of higher education institutes. The primary focus of this study was to uncover the factors that students deem vital related to their choice of university and desired courses. Undergradu...

This paper solves a specialized regression problem to obtain sampling probabilities for records in databases. The goal is to sample a small set of records over which evaluating aggregate queries can be done both efficiently and accurately. We provide a principled and provable solution for this problem; it is parameterless and requires no data insights. Unlike standard regression problems, the l...

the aim of this study is investigation of the effect of customer orientation on strategic innovation in nikan hospital, which considered as an applied research and the research methodology as descriptive and based on survey. the population consisted of hospital managers and customers of nikan hospital; customers were unlimited and managers population consisted of 20 person and the number of man...

1. Introduction The Medicare Current Beneficiary Survey (MCBS) conducted by the Centers for Medicare and Medicaid Services (CMS), Department of Health and Human Services, is a continuous sample survey of Medicare beneficiaries residing in the United States and Puerto Rico. The MCBS collects data on access to health care, health status, source of care, health care utilization and costs, satisfac...

In this paper, we propose a new quantitative randomized response model based on Mangat and Singh [7] two-stage randomized response model. We derive the estimator of the sensitive variable mean, and show that our method is more efficient than other randomized response models suggested by Greenberg et al. [3] and Gupta et al. [4] estimators.

this paper aims at studying the effects of work/family conflict and family/ work conflict as a result of work alienation. some theories of goffman, duxbury and higgins, kirchmeyer and cohen, merton, inglehart and faunce are applied in the study. the research is conducted through a survey method. stratified random sampling has been used for selection of the samples. main data collection method f...

A new efficient technique to impose the statistical correlation when using the Monte Carlo type method for the statistical analysis of computational problems is proposed. The technique is based on the stochastic optimization method called Simulated Annealing. The comparison with other techniques presently used and intensive numerical testing showed the superiority and robustness of the method. ...

BACKGROUND Breast feeding is universally and traditionally practicised in India. Experts advocate breast feeding as the best method of feeding young infants. OBJECTIVE To assess the role of various factors in determining colostrum feeding in block R. S. Pura of district Jammu. MATERIALS AND METHODS A stratified two-stage design with villages as the primary sampling unit and lactating mother...