this research has an aim to assess agricultural students' satisfaction from their field of study. the statistical population consisted of 1040 students from the university of bu ali sina (800 bachelor and 240 master students) during the years of 2011 to 2013. through stratified random sampling method 240 bachelor and 80 master students were selected. data was collected by means of a resear...

As modeled microarchitectures become more complex and the size of benchmark program keeps increasing, simulating a complete program with various input sets is practically infeasible within a given time and computation resource budget. A common approach is to simulate only a subset of representative parts of the program selected from the complete program execution. SimPoint [1,2] and SMARTS [10]...

Weighted likelihood, in which one solves Horvitz-Thompson or inverse probability weighted (IPW) versions of the likelihood equations, offers a simple and robust method for fitting models to two phase stratified samples. We consider semiparametric models for which solution of infinite dimensional estimating equations leads to √ N consistent and asymptotically Gaussian estimators of both Euclidea...

Flow-stratified sampling is a new method for sampling water quality constituents such as suspended sediment to estimate loads. As with selection-at-list-time (SALT) and time-stratified sampling, flow-stratified sampling is a statistical method requiring random sampling, and yielding unbiased estimates of load and variance. It can be used to estimate event yields or to estimate mean concentratio...

traditional survey methods may cause refusals to respond or untruthful replies when encounter the sensitive questions. the randomized response technique (rrt) is designed to decrease social desirability bias and obtain reliable estimates. this study aimed to apply these new methods on the sensitive questions survey.simmons model was applied in the survey of issues relevant to commercial sex amo...