Linear Models And Markov Chain

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The exhaustive list of topics in Linear Models And Markov Chain in which we provide Help with Homework Assignment and Help with Project is as follows:

Linear Models: Linear statistical models, illustrations, Gauss-Markov model, normal equations and least square estimators, estimable linear functions, g-inverse and solution of normal equations. Error space and estimation space. Variances and covariances of BLUEs. Estimation of error variance. Theorems of least squares and applications to the tests of linear hypotheses. Fisher-Cochran theorem, distribution of quadratic forms.
Markov Chain: Independence, Random walk, discrete time/discrete space Markov chains - basic theory, examples including queueing/ birth-death chains/branching processes.