JSM 2005 Online Program

Abstract #303383

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2005); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

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Activity Number:	137
Type:	Contributed
Date/Time:	Monday, August 8, 2005 : 10:30 AM to 12:20 PM
Sponsor:	Section on Nonparametric Statistics
Abstract - #303383
Title:	Estimation of Employee Turnover Based on Tenure-to-date
Author(s):	Richard Madsen*+
Companies:	University of Missouri, Columbia
Address:	Department of Statistics, Columbia, MO, 65211, United States
Keywords:	Employee turnover ; job tenure ; Length-biased sampling ; Monte Carlo
Abstract:	A method for estimating employee turnover rate based on the amount of time employees have worked to date is given. This time, or tenure-to-date, can be found from the date of hire of the employees. The method is nonparametric. Simple estimates can be based on the proportions of employees in two categories: employed less than six months and employed between six months and one year. These estimates use principles from isotonic regression as the probability density function of tenure-to-date is nonincreasing. Approximate confidence intervals are given. Properties of the estimators are evaluated by using Monte Carlo simulation. Several aspects of the derivation of the statistic may be useful for examples in a mathematical statistics class, including length-biased sampling, censored values, and estimation with order restrictions.

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