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Technically the multivariate analogue of the quasi-likelihood with the same feature that it leads to consistent inferences about the mean responses without needing specific suppositions to be made about second and higher order moments. Most frequently used for the likelihood-based inference on longitudinal data where the response variable cannot be supposed to be normally distributed. Easy models are used for within-subject correlation and a working correlation matrix is introduced into the model specification to accommodate these correlations. The process gives consistent estimates for the mean parameters even if the covariance structure is incorrectly specified.
The technique assumes that the missing data are missing completely at the random; otherwise the resulting parameter estimates are biased. The amended approach, weighted generalized estimating equations, is available which produces the unbiased parameter estimates under the less stringent assumption that the missing data are missing at random.
The theory of measurement which recognizes that in any measurement situation there are multiple (actually infinite) sources of variation (known as facets in the theory), and that a
Particlefilters is a simulation method for tracking moving target distributions and for reducing computational burden of the dynamic Bayesian analysis. The method uses a Markov ch
Mean squarederror is the expected value of square of the difference between an estimator and the true value of the parameter. If the estimator is unbiased then the mean of the squ
Kolmogorov Smirnov two-sample method is a distribution free technique which tests for any difference between the two populations probability distributions. The test is relied on t
Difference between tretment design and experimental design
we are testing : Ho: µ=40 versus Ha: µ>40 (a= 0.01) Suppose that the test statistic is z0=2.75 based on a sample size of n=25. Assume that data are normal with mean mu and standa
How has quantitative analysis changed the current scenario in the management world today?
The term used for the estimation of the misclassification rate in the discriminant analysis. Number of techniques has been proposed for two-group situation, but the multiple-group
Group visible design is an arrangement of the v mn treatments in b blocks such that: * Each block comprises k distinct treatments k5v; * Each treatment is replicated r number
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