Forecasting Models of Retail Rents
نویسندگان
چکیده
منابع مشابه
Sales Forecasting for Retail Chains
This paper presents a use case of data mining for sales forecasting in retail demand and sales prediction. In particular, the Extreme Gradient Boosting algorithm is used to design a prediction model to accurately estimate probable sales for retail outlets of a major European Pharmacy retailing company. The forecast of potential sales is based on a mixture of temporal and economical features inc...
متن کاملForecasting the Iranian Tax Revenues: Application of Nonlinear Models
Abstract Tax is one of the main sources of financing government budget. Therefore, having a clear picture about the attainable amount of taxes are not only necessary for optimal allocation of scarce resources for tax collection, but also helps the government to develop precise tax collection programs .In this article, the structural features of the tax revenues series have first been examined ...
متن کاملRetail Demand Management: Forecasting, Assortment Planning and Pricing
In the first part of the dissertation, we focus on the retailer's problem of forecasting demand for products in a category (including those that they have never carried before), optimizing the selected assortment, and customizing the assortment by store to maximize chain-wide revenues or profits. We develop algorithms for demand forecasting and assortment optimization, and demonstrate their use...
متن کاملBehavioral Finance Models and Behavioral Biases in Stock Price Forecasting
Stock market is affected by news and information. If the stock market is not efficient, the reaction of stock price to news and information will place the stock market in overreaction and under-reaction states. Many models have been already presented by using different tools and techniques to forecast the stock market behavior. In this study, the reaction of stock price in the stock market was ...
متن کاملMachine Learning Models for Housing Prices Forecasting using Registration Data
This article has been compiled to identify the best model of housing price forecasting using machine learning methods with maximum accuracy and minimum error. Five important machine learning algorithms are used to predict housing prices, including Nearest Neighbor Regression Algorithm (KNNR), Support Vector Regression Algorithm (SVR), Random Forest Regression Algorithm (RFR), Extreme Gradient B...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Environment and Planning A: Economy and Space
سال: 2000
ISSN: 0308-518X,1472-3409
DOI: 10.1068/a3332