TY - JOUR
AU - Samir Touzani
AU - Robert D Van Buskirk
AB - <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>
C2 - LBNL-6989E
CY - Berkeley
DA - 02/2015
N2 - <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>
PP - Berkeley
PY - 2015
TI - Estimating Sales and Sales Market Share from Sales Rank Data for Consumer Appliances
ER -