%0 Journal Article
%A Samir Touzani
%A Robert D Van Buskirk
%C Berkeley
%D 2015
%T Estimating Sales and Sales Market Share from Sales Rank Data for Consumer Appliances
%2 LBNL-6989E
%8 02/2015
%X <p>Our motivation in this work is to find an adequate probability distribution to fit sales volumes of<br />different appliances. This distribution allows for the translation of sales rank into sales volume.<br />This paper shows that the log-normal distribution and specifically the truncated version are well<br />suited for this purpose. We demonstrate that using sales proxies derived from a calibrated<br />truncated log-normal distribution function can be used to produce realistic estimates of market<br />average product prices, and product attributes. We show that the market averages calculated with<br />the sales proxies derived from the calibrated, truncated log-normal distribution provide better<br />market average estimates than sales proxies estimated with simpler distribution functions.</p>