A new distance-based estimator for forest regeneration assessment, the mean distance method, was developed by combining ideas and techniques from the wandering quarter method, T-square sampling and the random pairs method. The performance of the mean distance method was compared to conventional 4.05 square meter plot sampling through simulation analysis on 405 square meter blocks of a field sur...

there is a relationship between infant feeding method and maternal postpartum depression (ppd). this study was carried out in an iranian population to compare the prevalence of ppd symptoms between breast feeding and non-breast feeding mothers for first time.four health centers in ahvas were selected by random sampling in 2009. at first 78 non-breast feeding mothers at two months postpartum wer...

In surveys, the interest lies in estimating finite population parameters such as totals and means. most some auxiliary information is available at estimation stage. This may be incorporated procedures to increase their precision. this article, we use random forests estimate functional relationship between survey variable variables. recent years, have become attractive National Statistical Offic...

objective : this study examined forty nine instances of phobic adolescents pheromena classified in the following seven categories: school phobia, agoraphobia, zoophobia, claustrophobia, social phobia, physician fear, exam anxiety. method: the subjects were 120 female and 120 male high-school and pre-university students selected through random cluster sampling. the data were analyzed through des...

This paper aims to measure and simulate the warpages of 3D through-silicon via (TSV) die-stacked dynamic-random-access-memory (DRAM) packages during the manufacturing process. The related die stresses and keep-out zone (KOZ) for the stacked dies in the packages at room temperature are further calculated with the validated simulation model. The out-of-plane deformations (or warpages) of the pack...

In this work we show how to generate random Bayesian networks and how to test inference algorithms using these samples. First, we present a new method to generate random networks through Markov chains. We then use random networks to investigate the performance of quasi-random numbers in Gibbs sampling algorithms for inference. We present experimental results and describe code that implements ou...