Domain, Task and Dataset PerspectiveEye focuses on visualizing and understanding correlations between two sets of geospatial data of different countries over time. In particular, I am interested in looking at poverty, crime rate, mortality rate and other similar data related to humanity, which can be obtained through GapMinder [4]. For example, how are poverty and population density related in ...

the aim of this study is to investigate the relationship between social capital among employees with their job performance in tehran's forensic medicine organization. the study population consisted of all the employees of tehran's forensic medicine organization in 2015 that based on available statistics are 120 employees that because of limited statistical population, sampling has not...

A completely nonparametric approach to population bioequivalence in crossover trials has been suggested by Munk and Czado (1999). It is based on the Mallows (1972) metric as a nonparametric distance measure which allows the comparison between the entire distribution functions of test and reference formulations. It was shown that a separation between carry-over and period eeects is not possible ...

Small area estimation is conventionally concerned with the estimation of small area averages and totals. More recently emphasis has been also placed on the estimation of poverty indicators and of key quantiles of the small area distribution function using robust models for example, the M-quantile small area model (Chambers and Tzavidis, 2006). In parallel to point estimation, Mean Squared Error...

Population demographic history may be learned from contemporary genetic variation data. Methods based on aggregating the statistics of many single loci into an allele frequency spectrum (AFS) have proven powerful, but such methods ignore potentially informative patterns of linkage disequilibrium (LD) between neighboring loci. To leverage such patterns, we developed a composite-likelihood framew...

Statistics is an important part in big data because many statistical methods are used for big data analysis. The aim of statistics is to estimate population using the sample extracted from the population, so statistics is to analyze not the population but the sample. But in big data environment, we can get the big data set closed to the population by the advanced computing systems such as cloud...