to compare different qtl mapping methods, a population with genotypic and phenotypic data was simulated. in bayesian approach, all information of markers can be used along with combination of distributions of snp markers. it is assumed that most of the markers (95%) have minor effects and a few numbers of markers (5%) exert major effects. the simulated population included a basic population of ...

reluctance towards implementation of precision agriculture (pa) seems to be based on lackof consideration to education, extension, and research sectors. the objective of this study isto identify educational, extensional, and research requirements in application of the pasystem. the research population included all the experts in qazvin province who are familiarwith pa concepts and pa’s equipmen...

background & aim: chronic diseases impact not only on patients but also on their family members’ lives. this study aims to determine dimensions of family dermatology life quality index (fdlqi) questionnaire by the use of classic and bayesian factor analysis (bfa) factor. methods & materials: in this study, fdlqi questionnaire distributed among 100 family members of dermatological patients. bfa ...

We introduce a factor analysis model that summarizes the dependencies between observed variable groups, instead of dependencies between individual variables as standard factor analysis does. A group may correspond to one view of the same set of objects, one of many data sets tied by co-occurrence, or a set of alternative variables collected from statistics tables to measure one property of inte...

This paper develops and applies a Bayesian approach to Exploratory Factor Analysis that improves on ad hoc classical approaches. Our framework relies on dedicated factor models and simultaneously determines the number of factors, the allocation of each measurement to a unique factor, and the corresponding factor loadings. Classical identification criteria are applied and integrated into our Bay...