IDEAS home Printed from https://ideas.repec.org/a/eee/csdana/v50y2006i8p1877-1890.html
   My bibliography  Save this article

On the estimation of the stereotype regression model

Author

Listed:
  • Kuss, Oliver

Abstract

No abstract is available for this item.

Suggested Citation

  • Kuss, Oliver, 2006. "On the estimation of the stereotype regression model," Computational Statistics & Data Analysis, Elsevier, vol. 50(8), pages 1877-1890, April.
  • Handle: RePEc:eee:csdana:v:50:y:2006:i:8:p:1877-1890
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167-9473(05)00042-3
    Download Restriction: Full text for ScienceDirect subscribers only.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. J. Engel, 1988. "Polytomous logistic regression," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 42(4), pages 233-252, December.
    2. Werner Holtbrügge & Martin Schumacher, 1991. "A Comparison of Regression Models for the Analysis of Ordered Categorical Data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 40(2), pages 249-259, June.
    3. Mark Lunt, 2001. "Stereotype ordinal regression," Stata Technical Bulletin, StataCorp LP, vol. 10(61).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Fernández, D. & Arnold, R. & Pledger, S., 2016. "Mixture-based clustering for the ordered stereotype model," Computational Statistics & Data Analysis, Elsevier, vol. 93(C), pages 46-75.
    2. Daniel Fernández & Louise McMillan & Richard Arnold & Martin Spiess & Ivy Liu, 2022. "Goodness-of-Fit and Generalized Estimating Equation Methods for Ordinal Responses Based on the Stereotype Model," Stats, MDPI, vol. 5(2), pages 1-14, June.
    3. Traikova, Diana & Manolova, Tatiana & Möllers, Judith & Buchenrieder, Gertrud, 2014. "Bribing culture and rural start-up plans in transition: evidence from Bulgaria," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182794, European Association of Agricultural Economists.
    4. Jaeil Ahn & Bhramar Mukherjee & Stephen B. Gruber & Samiran Sinha, 2011. "Missing Exposure Data in Stereotype Regression Model: Application to Matched Case–Control Study with Disease Subclassification," Biometrics, The International Biometric Society, vol. 67(2), pages 546-558, June.
    5. Mads Meier Jæger, 2007. "Economic and Social Returns To Educational Choices," Rationality and Society, , vol. 19(4), pages 451-483, November.

    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. Daniel Fernández & Louise McMillan & Richard Arnold & Martin Spiess & Ivy Liu, 2022. "Goodness-of-Fit and Generalized Estimating Equation Methods for Ordinal Responses Based on the Stereotype Model," Stats, MDPI, vol. 5(2), pages 1-14, June.
    2. A. Gupta & D. Kasturiratna & T. Nguyen & L. Pardo, 2006. "A New Family of BAN Estimators for Polytomous Logistic Regression Models based on ϕ- Divergence Measures," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 15(2), pages 159-176, August.
    3. Amy R. Mulick & Shefali Oza & David Prieto‐Merino & Francisco Villavicencio & Simon Cousens & Jamie Perin, 2022. "A Bayesian hierarchical model with integrated covariate selection and misclassification matrices to estimate neonatal and child causes of death," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(4), pages 2097-2120, October.
    4. Thien Khai Tran & Hoa Dinh & Hien Nguyen & Dac-Nhuong Le & Dong-Ky Nguyen & An C. Tran & Viet Nguyen-Hoang & Ha Nguyen Thi Thu & Dinh Hung & Suong Tieu & Canh Khuu & Tuan A. Nguyen, 2021. "The Impact of the COVID-19 Pandemic on College Students: An Online Survey," Sustainability, MDPI, vol. 13(19), pages 1-19, September.
    5. Garcia, Alexis Arthur B. & Rejesus, Roderick M. & Genio, Emmanuel L., 2008. "Factors Influencing Artisanal Fisherfolks' Level of Support for Fishery Regulations: An Approach Using Alternative Ordered Logit Models," 2008 Annual Meeting, February 2-6, 2008, Dallas, Texas 6791, Southern Agricultural Economics Association.
    6. Schumacher, Martin & Ro[ss]ner, Reinhard & Vach, Werner, 1996. "Neural networks and logistic regression: Part I," Computational Statistics & Data Analysis, Elsevier, vol. 21(6), pages 661-682, June.
    7. Elena Castilla & Nirian Martín & Leandro Pardo, 2018. "Minimum phi-divergence estimators for multinomial logistic regression with complex sample design," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 102(3), pages 381-411, July.
    8. K. Vaitheeswaran & M. Subbiah & R. Ramakrishnan & T. Kannan, 2016. "A comparison of ordinal logistic regression models using Classical and Bayesian approaches in an analysis of factors associated with diabetic retinopathy," Journal of Applied Statistics, Taylor & Francis Journals, vol. 43(12), pages 2254-2260, September.
    9. Traikova, Diana, 2013. "Determinants of non-farm entrepreneurial intentions in a transitional context: Evidence from rural Bulgaria," Studies on the Agricultural and Food Sector in Transition Economies, Leibniz Institute of Agricultural Development in Transition Economies (IAMO), volume 72, number 72.
    10. A. K. Gupta & D. Kasturiratna & T. Nguyen & L. Pardo, 2006. "A New Family of BAN Estimators for Polytomous Logistic Regression Models based on ϕ- Divergence Measures," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 15(2), pages 159-176, August.

    More about this item

    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:eee:csdana:v:50:y:2006:i:8:p:1877-1890. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/csda .

    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.