نتایج جستجو برای: using nonparametric methods four non
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This paper reviews Bayesian Nonparametric methods and discusses how parametric predictive densities can be constructed using nonparametric ideas.
abstract this study aimed at investigating the translation of interjections from english into persian in dubbing. to carry out this study the expressive secondary interjections found in the film four weddings and a funeral and their equivalent in persian dubbed version were analyzed through the strategies proposed by cuenca. the descriptive analysis of the corpus showed that (strategy b) i.e...
Evaluating of sunflower genotypes under different environmental conditions would be useful to identify genotypes with high stability and yield potential. In order to study yield stability of sunflower genotypes, 11 new hybrids along with four cultivars (namely Golsa, Ghasem, Shams and Farrokh) were evaluated in a randomized complete block design with four replications under four experimental fi...
objective: the objective of this study was to investigate the invitro fluoride release of four new self-adhesive resin cements; set (sdi, australia), breeze (pentron, usa), embrace wetbond (pulpdent, usa), g-cem (gc, japan) and to assess the bonding performance of these self-adhesive resin cements for bonding of orthodontic brackets. materials and methods: for fluoride release experiment, six ...
When applying nonparametric regression methods, the researcher is interested in estimating the relationship between one dependent variable, Y , and one or several covariates, X1, . . . , Xq. We discuss here the situation with one covariate, X (the case with multiple covariates is addressed in the references provided below). The relationship between X and Y can be expressed as the conditional ex...
Approximate nonparametric Bayes estimates calculated under a Dirichlet process prior are readily obtained in a wide range of models using a simple recursive algorithm. This chapter develops the recursion using elementary facts about nonparametric predictive distributions, and applies it to an interval censoring problem and to a Markov chain mixture model. S-Plus code is provided.
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