An optimization method to estimate models with store-level data: a case study

DOI10.1016/j.ejor.2011.08.032zbMath1244.90152OpenAlexW2052803470WikidataQ109478978 ScholiaQ109478978MaRDI QIDQ439441

Graça Trindade, Jorge A. C. Ambrósio

Publication date: 16 August 2012

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2011.08.032

zbMATH Keywords

quadratic programmingmarketingsegmentationmarket segmentationlatent models

Mathematics Subject Classification ID

Quadratic programming (90C20) Case-oriented studies in operations research (90B90) Marketing, advertising (90B60)

Related Items (1)

Minimizing the area of a Pareto confidence region

Uses Software

• DOT

Cites Work

• Unnamed Item
• Global convergence of a robust filter SQP algorithm
• Using store level scanner data to improve category management decisions: developing positioning maps
• A linear programming-based optimization algorithm for solving nonlinear programming problems
• Solving irregular econometric and mathematical optimization problems with a genetic hybrid algorithm
• Systematic Search in High Dimensional Sets
• Function minimization by conjugate gradients
• A new look at the statistical model identification

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