Cognitive Diagnosis Models (CDMs) are a special family of discrete latent variable models widely used in educational, psychological and social sciences. In many applications CDMs, certain hierarchical structures among the attributes assumed by researchers to characterize their dependence structure. Specifically, directed acyclic graph is specify constraints on allowable configurations attribute...

the authors have developed methods to characterize and quantify uncertainty in acoustic environmental predictions. We have developed methods for reflecting this uncertainty in tactical systems such as senor performance prediction, search plan recommendation, and track and detect systems that rely on environmental inputs. Uncertainty in performance prediction can result from model error and unce...

High ground-level ozone (GLO) concentrations will adversely affect human health, vegetations as well the ecosystem. Therefore, continuous monitoring for GLO trends is a good practice to address issues related air quality based on high of GLO. The purpose this study introduce stationary and non-stationary model extreme method applied 25 selected stations in Peninsular Malaysia. maximum daily con...

the genetic parameters and (co) variance components of body weight at birth (bw), weaning (ww) and six months of age (bw6) and average daily gain (adg) pre and post-weaning of afshari sheep were estimated using restricted maximum likelihood (reml) methodology and animal model implemented in dfreml software. the likelihood ratio test (lrt) was used to compare the models. year of birth, age of mo...

This article introduces a robust hypothesis testing procedure: the Lq-likelihoodratio-type test (LqRT). By deriving the asymptotic distribution of this test statistic, the authors demonstrate its robustness both analytically and numerically, and they investigate the properties of both its influence function and its breakdown point. A proposed method to select the tuning parameter q offers a goo...