Posterior Predictive Model Checking (PPMC) is frequently used for model fit evaluation in Bayesian Confirmatory Factor Analysis (BCFA). In standard PPMC procedures, misfit quantified by comparing the location of an ML-based point estimate to predictive distribution a statistic. When far from center posterior distribution, poor. Not included this approach, however, variability Maximum Likelihood...

abstract     in order to study the relationships among seed yield and its components in nigella sativa, path coefficient and factor analysis was done using some agro- morphological traits of 21 different genotypes. genotypes were evaluated using a completely randomized design with four replications in ardestan university research farms. there was a high and positive correlation between seed yie...

seeds of 200 accessions of alfalfa (medicago sativa l.) were provided from iraniannatural resource gene bank and were sown as drilled plot using alpha designs/unreplicatedwith 2 repeated entries within all of 10 blocks under dry land farming system in agriculturalresearch center of hamadan, iran during 2009 to 2010. the data were collected and analyzedfor plant height, stem number, leaf stem ra...

This paper presents an extension of Bayesian networks (BN) applied to reliability analysis of an open gas generator cycle Liquid propellant engine (OGLE) of launch vehicles. There are several methods for system reliability analysis such as RBD, FTA, FMEA, Markov Chains, and etc. But for complex systems such as LV, they are not all efficiently applicable due to failure dependencies between compo...

Large survey data are often accompanied by sampling weights that reflect the inequality probabilities for selecting samples in complex sampling. Sampling weights act as an expansion factor that, by scaling the subjects, turns the sample into a representative of the community. The quasi-maximum likelihood method is one of the approaches for considering sampling weights in the frequentist framewo...

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Estimating the final price of products is of great importance. For manufacturing companies proposing a final price is only possible after the design process over. These companies propose an approximate initial price of the required products to the customers for which some of time and money is required. Here using the existing data of already designed transformers and utilizing the bayesian anal...

ion, 49 Adams, Cecil, 23 Adult Intelligence Scale, 44, 118 adult weight, 47, 48, 114 analysis, 49, 74, 88 anecdotal evidence, 2, 9 Anscombe’s quartet, 113 apparent effect, 8, 10, 20, 79 artifact, 8, 10 Australia, 37 average, 11, 68 bar plot, 15, 18 baseball, 61 basketball, 61 Bayes factor, 86 Bayes’s theorem, 63 Bayesian estimation, 77, 97, 104 Bayesian probability, 84, 86 Bayesianism, 54, 66, ...

We provide an introductory review of Bayesian data analytical methods, with a focus on applications for linguistics, psychology, psycholinguistics, and cognitive science. The empirically oriented researcher will benefit from making Bayesian methods part of their statistical toolkit due to the many advantages of this framework, among them easier interpretation of results relative to research hyp...