The Box-Cox Transformation and Non-Iterative Estimation Methods for Ordinal Log-Linear Models

A non-iterative alternative to ordinal Log-Linear models

Log-linear modeling is a popular statistical tool for analysing a contingency table. This presentation focuses on an alternative approach to modeling ordinal categorical data. The technique, based on orthogonal polynomials, provides a much simpler method of model fitting than the conventional approach of maximum likelihood estimation, as it does not require iterative calculations nor the fittin...

Iterative methods for solving non linear Fokker-Planck equation

Power estimation of tests in log-linear non-uniform association models for ordinal agreement

BACKGROUND Log-linear association models have been extensively used to investigate the pattern of agreement between ordinal ratings. In 2007, log-linear non-uniform association models were introduced to estimate, from a cross-classification of two independent raters using an ordinal scale, varying degrees of distinguishability between distant and adjacent categories of the scale. METHODS In t...

on the effect of linear & non-linear texts on students comprehension and recalling

چکیده ندارد.

On the modified iterative methods for $M$-matrix linear systems

This paper deals with scrutinizing the convergence properties of iterative methods to solve linear system of equations. Recently, several types of the preconditioners have been applied for ameliorating the rate of convergence of the Accelerated Overrelaxation (AOR) method. In this paper, we study the applicability of a general class of the preconditioned iterative methods under certain conditio...