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The distribution over distributions in the sense that each draw from the process is itself the distribution. The name Dirichlet process or procedure is due to the fact that the ?nite dimensional marginal distributions of the process follow Dirichlet distribution. Commonly used as a previous distribution in the nonparametric Bayesian models, mainly in Dirichlet process mixture models. This is called nonparametric because, though the distributions drawn from the Dirichlet process are discrete, they cannot be defined using the ?nite number of parameters. The prior distribution induced by the Dirichlet procedure can be obtained incrementally using the Chinese restaurant process.
The generalization of the normal distribution used for the characterization of functions. It is known as a Gaussian process because it has Gaussian distributed finite dimensional m
wat iz z difference b/n logistic regression and multiple regression analysis /
Lagrange Multiplier (LM) test The Null Hypothesis - H0: There is no heteroscedasticity i.e. β 1 = 0 The Alternative Hypothesis - H1: There is heteroscedasticity i.e. β 1
Censored observations : An observation xi on some variable of interest is consired to be censored if it is known that xi Li (left-censored)or xi Ui (right-censored) where Li and Ui
1. The production manager of Koulder Refrigerators must decide how many refrigerators to produce in each of the next four months to meet demand at the lowest overall cost. There i
Resentful demoralization is the possible phenomenon in the clinical trials and intervention studies in which comparison groups not attaining a perceived desirable treatment become
The functions of the data and the parameters of interest which can be brought in use to conduct inference about the parameters when full distribution of the observations is unknown
Evaluate the following statistical arguments. Begin by identifying the sample, population, and the property which is being investigated. Do these arguments sound acceptable? Would
re-reference all these indexes
Opreation research phase
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