Johnson, A.A., Breidt, F.J. and Opsomer, J.D. (2008) Estimating Distribution Functions from Survey Data Using Nonparametric Regression. Journal of Statistical Theory and Practice, 2, 419-431.
https://doi.org/10.1080/15598608.2008.10411884

has been cited by the following article:

• TITLE: Approximation of Finite Population Totals Using Lagrange Polynomial

  AUTHORS: Lamin Kabareh, Thomas Mageto, Benjamin Muema

  KEYWORDS: Lagrange Polynomial, Approximation, Finite Population Total, Auxiliary Information, Local Polynomial Regression, Horvitz Thompson and Ratio Estimator

  JOURNAL NAME: Open Journal of Statistics, Vol.7 No.4, August 18, 2017

  ABSTRACT: Approximation of finite population totals in the presence of auxiliary information is considered. A polynomial based on Lagrange polynomial is proposed. Like the local polynomial regression, Horvitz Thompson and ratio estimators, this approximation technique is based on annual population total in order to fit in the best approximating polynomial within a given period of time (years) in this study. This proposed technique has shown to be unbiased under a linear polynomial. The use of real data indicated that the polynomial is efficient and can approximate properly even when the data is unevenly spaced.