Recruiter Productivity and the Poisson Distribution

Abstract

Military recruiting productivity may be viewed as the number of successful enlistments in a given recruiting time interval, and also as a Poisson-distributed random variable. One measure of effectiveness for recruiters is the probability of meeting a specified minimum number of enlistments (making mission). The Poisson model permits investigation of the impact on this performance measure when the length of the mission period is changed, to when recruiter production is aggregated as in station missioning. Immediate results are that less effective recruiters benefit from shorter mission periods, while the effective recruiter will benefit from longer mission periods. Also, estimates of this probability should be improved with the Poisson model, rather than treating the attribute of making mission as a Bernoulli trial. Poisson, Recruiting.

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Document Details

Document Type
Technical Report
Publication Date
Sep 23, 1994
Accession Number
ADA286230

Entities

People

  • Glenn F. Lindsay

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Binomials
  • Confidence Limits
  • Data Science
  • Distribution Functions
  • Information Science
  • Intervals
  • Operations Research
  • Probability
  • Probability Distribution Functions
  • Probability Distributions
  • Production
  • Productivity
  • Random Variables
  • Recruiting
  • Statistics
  • Test And Evaluation
  • Time Intervals

Readers

  • Naval Personnel Management
  • Regression Analysis.