Vol. 2, Issue 5 (2015)
A study on some estimation methods for incomplete manpower data
Author(s): J. Kalaivani, R. Elangovan
Abstract: In manpower planning, one of the most important variables is completed length of service on leaving ajob, since it enables us to predict staff turnover. This variable is essentially the same as failure time, defined in the medical and reliability literature to be the time until a specified event occurs. In the medical literature this event is frequently death and in reliability theory, the time until a component breaks down. In manpower planning the data are often incomplete due to left truncation as well as right censoring. Right censoring occurs when a number of people have not yet left when data collection is terminated. Left truncation arises when some people are already in service at the commencement of data collection. For such data munch work has been done on the parametric and non-parametric estimation of the survivor function using manpower data. In this paper, it is propose to discuss the various estimation methods for incomplete manpower data. Numerical illustration is also provided.