This article studies emotional divorce and the sociological factors effective on it in the city of Tehran. The statistical population of the research includes all the families residing in the city of Tehran and the sampling methodology is two-stage random and cluster sampling method. The theoretical framework of the research is a combination of the theory of structural functionalism and the the...

The application of family-based tests to whole-genome sequenced data provides a new window on the role of rare variant alleles in the etiology of disease. By applying family-based tests to these data, we can now identify rare variants associated with disease. Approaches for common variants, by contrast, require large sample sizes for power, and are powerless when faced with rare variants. When ...

The power divergence family of Cressie and Read (1984) is a highly popular family of density-based divergences which is widely used in robust parametric estimation and multinomial goodness-of-fit testing. This family forms a subclass of the family of φ-divergences (Csiszár, 1963; Pardo, 2006) or disparities (Lindsay, 1994). The more recently described family of density power divergences (Basu e...

having a look at the history of iran, one can realize that, the foundation of governorship in this country was based on two factors, religious belief and tradition, as the safavids came to power according to the former category and ruled for more than two centuries. the fall of the safavid dynasty not only ended their ruling, but decreased their holiness drastically. therefore, from then on the...

the performance of different yield loss models from an exponential family was evaluated in safflower-redroot pigweed systems in two field experiments conducted during 2007 and 2008 growing seasons at the research field of agricultural college of shiraz university, iran. the yield loss of safflower was recorded as relative yield loss in experimental plots laid out in split plot design with three...

Over the past four decades, Hezbollah hasthrived i...

We present a simple explanation for the occurrence of power-law tails in statistical distributions by showing that if stochastic processes with exponential growth in expectation are killed (or observed) randomly, the distribution of the killed or observed state exhibits power-law behavior in one or both tails. This simple mechanism can explain power-law tails in the distributions of the sizes o...

Because of the low frequency of rare genetic variants in observed data, the statistical power of detecting their associations with target traits is usually low. The collapsing test of collective effect of multiple rare variants is an important and useful strategy to increase the power; in addition, family data may be enriched with causal rare variants and therefore provide extra power. However,...