biostatistics-data-analytics-2018-posters-abstracts

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Journal of Computer Science & Systems Biology | ISSN: 0974-7230 | Volume: 11

Biostatistics and Bioinformatics

Big Data Analytics & Data Mining

International Conference on

September 26-27, 2018 | Chicago, USA

Comparison of unequal probability sampling designs using entropy

Anam Riaz, Abdul Basit, Zafar Iqbal

and

Munir Ahmad

National College of Business Administration and Economics, Pakistan

ntropy measure is the average of information function. In the literature different generalized entropy measures are available for

the engineering sciences and reliability theory. In the sampling theory, ranking methodology and Mean Square Error & Variance

are widely used for the comparison of different sampling design. In this study entropy and information function are introducing

for the comparison of sampling design. In the classical methodology (Rank, MSE, Variance), targeted variable is required for the

comparison. By applying entropy and information function, joint probability of inclusion of units is required only rather than the

targeted variables. The comparison of both methods has been carried out and found the same results.

J Comput Sci Syst Biol 2018, Volume: 11

DOI: 10.4172/0974-7230-C1-021