TY  - JOUR
T1  - Nonparametric Estimation of Survivorship Function using Retrospective Data on Duration of Breastfeeding-A Smoothing Technique
AU - Singh, Ksh. Anand 
JO  - Journal of Modern Mathematics and Statistics
VL  - 8
IS  - 1
SP  - 14
EP  - 18
PY  - 2014
DA  - 2001/08/19
SN  - 1994-5388
DO  - jmmstat.2014.14.18
UR  - https://makhillpublications.co/view-article.php?doi=jmmstat.2014.14.18
KW  - Survivorship function
KW  -smooth estimates
KW  -nonparametric regression smoother
KW  -loess
KW  -India
AB  - 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.
ER  -