Comparison Robust M Estimate with Cubic Smoothing Splines for Time-Varying Coefficient Model for Balance Longitudinal Data

Authors

• Dhafer Hussein Rashid, Department of Statistics, College of Administration and Economics, University of Baghdad, Iraq
• Ali Saif Abdel Hafez, Federal Board of Supreme Audit

Abstract

In this research، a comparison has been made between the robust estimators of (M) for the Cubic Smoothing Splines technique، to avoid the problem of abnormality in data or contamination of error، and the traditional estimation method of Cubic Smoothing Splines technique by using two criteria of differentiation which are (MADE، WASE) for different sample sizes and disparity levels to estimate the chronologically different coefficients functions for the balanced longitudinal data which are characterized by observations obtained through (n) from the independent subjects، each one of them is measured repeatedly by group of specific time points (m)،since the frequent measurements within the subjects are almost connected and independent among the different subjects

DOI

10.33095/jeas.v19i73.1069

Subject Area

Statistical

First Page

398

Last Page

413

Recommended Citation

Rashid, D. H., & Abdel Hafez, A. S. (2013). Comparison Robust M Estimate with Cubic Smoothing Splines for Time-Varying Coefficient Model for Balance Longitudinal Data. Journal of Economics and Administrative Sciences, 19(73), 398-413. https://doi.org/10.33095/jeas.v19i73.1069