"Comparison of hippocampal and modified maximum potential methods for estimating the parameters of the auto regression model

Abstract

In this paper, the problem of self-correlation in errors was addressed by
using the conversion method and estimating the parameters of the autoregression
model when random error is distributed by general logistic
distribution using statistical methods (modified maximum possible
method, modified least-squares method, fortified Buttrap method and
Laplace method) and comparison between them. The statistical index is
mediated by the average error boxes and the best of these methods is
obtained by using the simulation method and for different sample sizes (150,100, 60, 30), and applying the best method to a real experiment
represented by the amount of drop. And rain and affected by relative
humidity.