期刊
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
卷 451, 期 -, 页码 266-276出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.physa.2016.01.030
关键词
Sales rank; Log-normal distribution; Market average quantities; Price indices; Statistical model
资金
- US Department of Energy under Lawrence Berkeley National Laboratory [DE-AC02-05CH11231]
Our motivation in this work is to find an adequate probability distribution to fit sales volumes of different appliances. This distribution allows for the translation of sales rank into sales volume. This paper shows that the log-normal distribution and specifically the truncated version are well suited for this purpose. We demonstrate that using sales proxies derived from a calibrated truncated log-normal distribution function can be used to produce realistic estimates of market average product prices, and product attributes. We show that the market averages calculated with the sales proxies derived from the calibrated, truncated log-normal distribution provide better market average estimates than sales proxies estimated with simpler distribution functions. (C) 2016 Elsevier B.V. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据