This is the first paper to analyze tripartite linguistic structure of Isaiah using Random Forest Regression, a supervised machine learning statistical approach.  By predicting occurrences ‘judgment’ and ‘hope’ verses, we examine threefold (section 1--chapters 1-39; section 2--chapters 40-55; 3--chapters 56-66) for differences in expression within...

In this study test-day records of milk (kg), fat (g), and protein (g) yields, somatic cell score (SCS, cells/ML) collected by Animal Breeding Center of Iran during 2007 and 2009 were used to estimate genetic parameters using random regression model. Models with different order of Legendre polynomials were compared using Bayesian information criterion (BIC).For milk, fat yield and SCS genetic an...

we apply the two-sector production function developed by ram (1986) to estimate the threshold regression model for iran, concerning the effect of government size on economic growth. three government size indicators are used to find out the different threshold points. the results show a non-linear relationship of the armey curve in iran, in which the threshold effects corresponding to total gove...

new statistic based models provide a wide area of prediction equipments for different science areas. among these fields biology have just entered the contest of interdisciplinary sciences. drug discovery is a long and expensive process which could be decreased with theoretical approaches. in this study, 500 reported assayed anti cancer molecules were extracted from science direct articles, sket...

difference aspects of multinomial statistical modelings and its classifications has been studied so far. in these type of problems y is the qualitative random variable with t possible states which are considered as classifications. the goal is prediction of y based on a random vector x ? ir^m. many methods for analyzing these problems were considered. one of the modern and general method of cla...