
Capture-Recapture Sampling Techniques: Artificial and Real Population Data Analysis
Author(s) -
Neelam Bukhari,
Sadia Bukhari,
Muhammad Ahmed Shehzad
Publication year - 2019
Publication title -
journal of public value and administrative insight
Language(s) - English
Resource type - Journals
eISSN - 2663-919X
pISSN - 2663-9181
DOI - 10.31580/jpvai.v2i3.930
Subject(s) - mark and recapture , statistics , sampling (signal processing) , population , population size , computer science , mathematics , demography , filter (signal processing) , sociology , computer vision
Capture-Recapture sampling methods are being used to estimate the population size of an unknown population. These methods are widely used for determining the population size of animals and birds. Literature shows that these methods were purely used by ecologist in the past. But now-a-days, these methods are also used to determine the chronic diseases, for example, cancer patients, HIV Aid patients, etc. Not only this, many studies had conducted to determine the road accidents ratios on different points. This study covered two examples; one was the total number of female drivers at Bahauddin Zakariya University, Multan and the second example was about the total number of male smokers at Bahauddin Zakariya University, Multan. On these two examples, the basic capture-recapture sampling methods were used which involved Lincoln Peterson Index, Chapman Estimate and Schnable Estimate. Then an artificial data with known population was created and same methods were used for analysis. In the end, the results of artificial data and two examples were compared with each other through analysis on excel sheet.