An Explicit Distribution to Model the Proportion of Heating Degree Day and Cooling Degree Day. Issue 7 (8th August 2016)

• Record Type: Journal Article
• Authors: Mohsin, Muhammad; Pilz, Jürgen; Gebhardt, Albrecht
• Is Part Of: Communications in statistics. Volume 45:Issue 7(2016)
• Page Start: 2617
• Page End: 2624
• Publication Date: 2016-08-08
• Subjects: Bivariate Affine-Linear Exponential (BALE) distribution -- Cooling degree day (CDD) -- Heating degree day (HDD) -- Proportion of random variables -- Quantiles; Primary 62E15 -- Secondary 60E05; Mathematical statistics -- Periodicals; Mathematical statistics -- Data processing -- Periodicals; Digital computer simulation -- Periodicals; 519.5
• DOI: 10.1080/03610918.2014.915037
• Languages: English
• ISSNs: 0361-0918

Abstract

Abstract : With a view to estimating the energy consumption, we derive the explicit distribution of the proportion X /( X + Y ) when X and Y follow the new Bivariate Affine-Linear Exponential distribution. An application of this distribution to model the proportion of heating using the heating degree day and the cooling degree day data in the State of Alabama for Appalachian Mountain is provided. Using intensive computations based on R-program, tabulation of some quantiles associated with this particular distribution of proportion is also provided, which is quite useful in estimating the proportion of energy required to heat a building.