Bias, efficiency, and agreement for group-testing regression models

Regression Testing for Visual Models

In this paper, we present a set of Eclipse plug-ins which adapts the idea of regression testing for the area of visual modelling in software engineering: Expected properties of models in languages such as UML, BPMN, etc. are stored together with the model (comparable with test cases added to software). With each change of the model, these properties can be checked. The solution should work with...

Nonparametric regression analysis for group testing data

Group testing is a procedure employed to reduce the cost and increase the speed of large screening studies where infection or contamination of individuals is detected by a test carried out on a sample of, for example, blood, urine, water, etc. Instead of testing the sample of each individual, the method consists in pooling samples of groups of several individuals, and test those pooled samples....

Testing For Efficiency Wages In Iran

The efficiency of Artificial Neural Network, Neuro-Fuzzy and Multivariate Regression models for runoff and erosion simulation using rainfall simulator

1- INTRODUCTION According to the complexity of environmental factors related to erosion and runoff, correct simulation of these variables find importance under rain intensity domain of watershed areas.  Although modeling of erosion and runoff by Artificial Neural Network and Neuro-Fuzzy based on rainfall-runoff and discharge-sediment models were widely applied by researchers, scrutinizing Arti...

Testing for Threshold Effects in Regression Models

In this article, we develop a general method for testing threshold effects in regression models, using sup-likelihood-ratio (LR)-type statistics. Although the sup-LR-type test statistic has been considered in the literature, our method for establishing the asymptotic null distribution is new and nonstandard. The standard approach in the literature for obtaining the asymptotic null distribution ...