Journal of Modern Mathematics and Statistics
ISSN: OnlineISSN: Print 1994-5388
Abstract
Retrospectively reported data on duration of breastfeeding often exhibit concentration of points at multiples of 6 or 12 months. As a result, the estimated survivorship function shows jumps at these points. Appropriate statistical methods are necessarily called for obtaining the smooth estimates of the curve. A nonparametric regression smoother, popularly known as loess (locally weighted linear regression smoother has been used here to obtain the smooth estimates. The proposed method is applied to duration data of the 6 states of North East India.
How to cite this article:
Ksh. Anand Singh. Nonparametric Estimation of Survivorship Function using Retrospective Data on Duration of Breastfeeding-A Smoothing Technique.
DOI: https://doi.org/10.36478/jmmstat.2014.14.18
URL: https://www.makhillpublications.co/view-article/1994-5388/jmmstat.2014.14.18