IDEAS home Printed from https://ideas.repec.org/p/mit/sloanp/2109.html
   My bibliography  Save this paper

Framework for predicting frequencies of events

Author

Listed:
  • Rosenfield, Donald B., 1947-

Abstract

No abstract is available for this item.

Suggested Citation

  • Rosenfield, Donald B., 1947-, 1985. "Framework for predicting frequencies of events," Working papers 1662-85., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    • Handle: RePEc:mit:sloanp:2109
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/1721.1/2109
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Robert Carbone & Richard L. Longini, 1977. "A Feedback Model for Automated Real Estate Assessment," Management Science, INFORMS, vol. 24(3), pages 241-248, November.
    2. Donald G. Morrison & David C. Schmittlein, 1981. "Predicting Future Random Events Based on Past Performance," Management Science, INFORMS, vol. 27(9), pages 1006-1023, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Anesbury, Zachary William & Talbot, Danielle & Day, Chanel Andrea & Bogomolov, Tim & Bogomolova, Svetlana, 2020. "The fallacy of the heavy buyer: Exploring purchasing frequencies of fresh fruit and vegetable categories," Journal of Retailing and Consumer Services, Elsevier, vol. 53(C).
    2. John W. Bradford & Paul K. Sugrue, 1991. "Inventory rotation policies for slow moving items," Naval Research Logistics (NRL), John Wiley & Sons, vol. 38(1), pages 87-105, February.
    3. Reutterer, Thomas & Platzer, Michael & Schröder, Nadine, 2021. "Leveraging purchase regularity for predicting customer behavior the easy way," International Journal of Research in Marketing, Elsevier, vol. 38(1), pages 194-215.
    4. Trinh, Giang & Wright, Malcolm J., 2022. "Predicting future consumer purchases in grocery retailing with the condensed Poisson lognormal model," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    5. Jeongwen Chiang & Ching-Fan Chung & Emily Cremers, 2001. "Promotions and the pattern of grocery shopping time," Journal of Applied Statistics, Taylor & Francis Journals, vol. 28(7), pages 801-819.
    6. R. Kelley Pace & Raffaella Calabrese, 2022. "Ignoring Spatial and Spatiotemporal Dependence in the Disturbances Can Make Black Swans Appear Grey," The Journal of Real Estate Finance and Economics, Springer, vol. 65(1), pages 1-21, July.
    7. Hoppe, Daniel & Wagner, Udo, 2014. "The role of lifetime activity cues in customer base analysis," Journal of Business Research, Elsevier, vol. 67(5), pages 983-989.
    8. Michael Braun & Wendy W. Moe, 2013. "Online Display Advertising: Modeling the Effects of Multiple Creatives and Individual Impression Histories," Marketing Science, INFORMS, vol. 32(5), pages 753-767, September.
    9. Indranil Bardhan & Jeong-ha (Cath) Oh & Zhiqiang (Eric) Zheng & Kirk Kirksey, 2015. "Predictive Analytics for Readmission of Patients with Congestive Heart Failure," Information Systems Research, INFORMS, vol. 26(1), pages 19-39, March.
    10. Michael Braun & André Bonfrer, 2011. "Scalable Inference of Customer Similarities from Interactions Data Using Dirichlet Processes," Marketing Science, INFORMS, vol. 30(3), pages 513-531, 05-06.
    11. Baek Jung Kim & Vishal Singh & Russell S. Winer, 2017. "The Pareto rule for frequently purchased packaged goods: an empirical generalization," Marketing Letters, Springer, vol. 28(4), pages 491-507, December.
    12. Timothy P. Cronan & Donald R. Epley & Larry G. Perry, 1986. "The Use of Rank Transformation and Multiple Regression Analysis in Estimating Residential Property Values With A Small Sample," Journal of Real Estate Research, American Real Estate Society, vol. 1(1), pages 19-31.
    13. Teck-Hua Ho & Young-Hoon Park & Yong-Pin Zhou, 2006. "Incorporating Satisfaction into Customer Value Analysis: Optimal Investment in Lifetime Value," Marketing Science, INFORMS, vol. 25(3), pages 260-277, 05-06.
    14. Brano Glumac & Francois Des Rosiers, 2018. "Real estate and land property automated valuations systems: a taxonomy and conceptual model," ERES eres2018_148, European Real Estate Society (ERES).
    15. Fader, Peter S. & Hardie, Bruce G. S., 2002. "A note on an integrated model of customer buying behavior," European Journal of Operational Research, Elsevier, vol. 139(3), pages 682-687, June.
    16. Steven Miller & Eric Bradlow & Kevin Dayaratna, 2006. "Closed-form Bayesian inferences for the logit model via polynomial expansions," Quantitative Marketing and Economics (QME), Springer, vol. 4(2), pages 173-206, June.
    17. Bockenholt, Ulf, 1998. "Mixed INAR(1) Poisson regression models: Analyzing heterogeneity and serial dependencies in longitudinal count data," Journal of Econometrics, Elsevier, vol. 89(1-2), pages 317-338, November.
    18. Giang Trinh & Cam Rungie & Malcolm Wright & Carl Driesener & John Dawes, 2014. "Predicting future purchases with the Poisson log-normal model," Marketing Letters, Springer, vol. 25(2), pages 219-234, June.
    19. Chen, Zhiyuan & Liang, Xiaoying & Xie, Lei, 2016. "Inter-temporal price discrimination and satiety-driven repeat purchases," European Journal of Operational Research, Elsevier, vol. 251(1), pages 225-236.
    20. Young-Hoon Park & Peter S. Fader, 2004. "Modeling Browsing Behavior at Multiple Websites," Marketing Science, INFORMS, vol. 23(3), pages 280-303, May.

    More about this item

    Keywords

    HD28 .M414 no.1662-; 85;

    JEL classification:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:mit:sloanp:2109. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: None (email available below). General contact details of provider: https://edirc.repec.org/data/ssmitus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.