Report
Demand Estimation from Sales Transaction Data -- Practical Extensions
| العنوان: | Demand Estimation from Sales Transaction Data -- Practical Extensions |
|---|---|
| المؤلفون: | Remenyi, Norbert, Luo, Xiaodong |
| سنة النشر: | 2020 |
| المجموعة: | Mathematics Statistics |
| مصطلحات موضوعية: | Mathematics - Optimization and Control, Statistics - Methodology |
| الوصف: | In this paper we discuss practical limitations of the standard choice-based demand models used in the literature to estimate demand from sales transaction data. We present modifications and extensions of the models and discuss data preprocessing and solution techniques which are useful for practitioners dealing with sales transaction data. Among these, we present an algorithm to split sales transaction data observed under partial availability, we extend a popular Expectation Maximization (EM) algorithm for non-homogeneous product sets, and we develop two iterative optimization algorithms which can handle much of the extensions discussed in the paper. |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2006.11450 |
| رقم الانضمام: | edsarx.2006.11450 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |