Relation between stay-time and purchase probability based on RFID data in a Japanese supermarket

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6278 LNAI, Issue PART 3, 2010, Pages 254-263

  Takai, Keiji ^a   Yada, Katsutoshi ^a  

^a KANSAI UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

RADIO FREQUENCY IDENTIFICATION TECHNOLOGY;

KNOWLEDGE BASED SYSTEMS; PROBABILITY; RADIO WAVES; RETAIL STORES; SALES;

RADIO FREQUENCY IDENTIFICATION (RFID);

EID: 78449239772     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15393-8_29     Document Type: Conference Paper

References (6)

1. Aitchison, J.: The statistical Analysis of Compositional Data. Chapman & Hall, London (1986)
2. Hui, S.K., Bradlow, E.T., Fader, P.S.: Testing behavioral hypotheses using an integrated model of grocery store shopping path and purchase behavior. Jour. Cons. Res. 36, 478-493 (2009)
3. Hui, S.K., Fader, P., Bradlow, E.: Path data in marketing: an integrative framework and prospectus for model-building (August 7, 2007), SSRN, http://ssrn.com/abstract=930141
4. Izenman, A.J.: Modern Multivariate Statistical Techniques. Springer, New York (2008)
5. Matusita, K.: Decision rule, based on the distance, for problem of fit, two samples, and estimation. Ann. Math. Stat. 26, 631-640 (1956)
6. R Development Core Team.: R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria (2009), ISBN 3-900051-07-0, http://www.R-project.org