In this paper, we propose the classical and Bayesian regression models for use in conjunction with inverted Weibull (IW) distribution; there are Regression model (IW-Reg) (IW-BReg). proposed models, suggest logarithm identity link functions, while approach, a gamma prior two loss namely zero-one modified general entropy (MGE) functions. To deal outliers apply Huber Tukey’s bisquare (biweight) a...

In this study, it was aimed to evaluate the performance of different estimators that will be used in regression analysis, which is one multivariate statistical methods presence outliers data set. Sixth month live weight estimated with various body measurements for Saanen kids taken from a private farm. set, use and robust were evaluated because least squares method did not provide reliable resu...

Temperature is one of the most significant environmental factors that affects germination of grass seeds. Reliable prediction of the optimal temperature for seed germination is crucial for determining the suitable regions and favorable sowing timing for turf grass cultivation. In this study, a back-propagation-artificial-neural-network-aided dual quintic equation (BP-ANN-QE) model was developed...

Poverty is a multidimensional problem faced by all countries in the world. inability of individual or group to meet their basic needs terms expenditure. In poverty problem, there tendency that poor will locations with certain characteristics. This spatial clustering indicates diversity making global regression analysis inappropriate for application. Therefore, purpose this research model percen...