Gaussian estimation of regression and correlation parameters in longitudinal data

Abstract EN

parameters in longitudinal data The moment estimate of the correlation parameters using generalized estimating equations (GEE) is not guaranteed to exist or to be feasible.

We introduce the Gaussian estimation method and show that the estimate of the correlation parameters in longitudinal data setup is asymptotically unbiased and feasible.

We derive the large sample properties of the regression and correlation estimates and we illustrate these estimators via real life data example.

Modified homotopy perturbation method for solving system In this paper, we use the modified homology perturbation method to solving the system of linear equations.

We show that this technique enables us to find the exact solution of the system of linear equations.

This technique is independent of the auxiliary parameter and auxiliary operator.

Our results can be viewed as a novel improvement and an extension of the previously known results.