One of the most important methods of opacity accounting information by management is to accelerate the identification of good news versus delaying the identification of bad news on profits, but there is always a final level of accumulation of bad news in the company, and by reaching that its final level, these bad news will be released, which will lead to a Stock Price Crash Risk. In fact, stoc...

Model selection is the process of choosing a model from set possible models. The model's ability to generalise means it can fit both current and future data. Despite numerous emergences procedures in selecting models automatically, there has been lack studies on multiple equations models, particularly seemingly unrelated regression (SURE) Hence, this study concentrates an automated procedure fo...

This paper deals with ridge estimation of fuzzy nonparametric regression models using triangular fuzzy numbers. This estimation method is obtained by implementing ridge regression learning algorithm in the La- grangian dual space. The distance measure for fuzzy numbers that suggested by Diamond is used and the local linear smoothing technique with the cross- validation procedure for selecting t...

The number of wheat ears is one the most important factors in yield composition. Rapid and accurate assessment ear great importance for predicting grain food security-related early warning signal generation. current counting methods rely on manual surveys, which are time-consuming, laborious, inefficient inaccurate. Existing non-destructive detection techniques mostly applied to near-ground ima...

Corporate directors are influenced by overconfidence, which is one of the personality traits of individuals; it may take irrational decisions that will have a significant impact on the company's performance in the long run. The purpose of this paper is to validate and compare the Naive Bayesian Classification algorithm and probit regression in the prediction of Management's overconfident at pre...