2020
DOI: 10.11648/j.ijdsa.20200601.11
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Estimating Total Energy Demand from Incomplete Data Using Non-parametric Analysis

Abstract: The validity and usefulness of empirical data requires that the data analyst ascertains the cleanliness of the collected data before any statistical analysis commence. In this study, petroleum demand data for a period of 24 hours was collected from 1515 households in 10 clusters. The primary sampling units were stratified into three economic classes of which 50% were drawn from low class, 28% from medium class and 22% from high class. 63.6% of the questionnaires were completed whereas incomplete data was compu… Show more

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