Finite mixtures of censored Poisson regression models
Author
Abstract
Suggested Citation
Download full text from publisher
As the access to this document is restricted, you may want to
for a different version of it.References listed on IDEAS
- Wang, Peiming & Cockburn, Iain M & Puterman, Martin L, 1998. "Analysis of Patent Data--A Mixed-Poisson-Regression-Model Approach," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(1), pages 27-41, January.
- Seyed Ehsan Saffari & Robiah Adnan & William Greene, 2013. "Investigating the impact of excess zeros on hurdle-generalized Poisson regression model with right censored count data," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 67(1), pages 67-80, February.
- Ingrassia, Salvatore & Minotti, Simona C. & Punzo, Antonio, 2014. "Model-based clustering via linear cluster-weighted models," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 159-182.
- Caudill, Steven B & Mixon, Franklin G, Jr, 1995. "Modeling Household Fertility Decisions: Estimation and Testing of Censored Regression Models for Count Data," Empirical Economics, Springer, vol. 20(2), pages 183-196.
- Grün, Bettina & Leisch, Friedrich, 2008. "FlexMix Version 2: Finite Mixtures with Concomitant Variables and Varying and Constant Parameters," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 28(i04).
- Terza, Joseph V., 1985. "A Tobit-type estimator for the censored Poisson regression model," Economics Letters, Elsevier, vol. 18(4), pages 361-365.
- Grun, Bettina & Leisch, Friedrich, 2007. "Fitting finite mixtures of generalized linear regressions in R," Computational Statistics & Data Analysis, Elsevier, vol. 51(11), pages 5247-5252, July.
- Peiming Wang & Iain Cockburn & Martin L. Puterman, "undated". "A Mixed Poisson Regression Model for Analysis of Patent Data," Computing in Economics and Finance 1996 _049, Society for Computational Economics.
- Famoye, Felix & Wang, Weiren, 2004. "Censored generalized Poisson regression model," Computational Statistics & Data Analysis, Elsevier, vol. 46(3), pages 547-560, June.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Murat K. Munkin, 2022. "Count Roy model with finite mixtures," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(6), pages 1160-1181, September.
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.- Keefe Murphy & Thomas Brendan Murphy, 2020. "Gaussian parsimonious clustering models with covariates and a noise component," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 14(2), pages 293-325, June.
- Greene, William, 2007.
"Functional Form and Heterogeneity in Models for Count Data,"
Foundations and Trends(R) in Econometrics, now publishers, vol. 1(2), pages 113-218, August.
- William Greene, 2007. "Functional Form and Heterogeneity in Models for Count Data," Working Papers 07-9, New York University, Leonard N. Stern School of Business, Department of Economics.
- Bermúdez, Lluís & Karlis, Dimitris, 2012. "A finite mixture of bivariate Poisson regression models with an application to insurance ratemaking," Computational Statistics & Data Analysis, Elsevier, vol. 56(12), pages 3988-3999.
- Nguyen, Hien D. & McLachlan, Geoffrey J., 2016. "Laplace mixture of linear experts," Computational Statistics & Data Analysis, Elsevier, vol. 93(C), pages 177-191.
- William Greene, 2009. "Models for count data with endogenous participation," Empirical Economics, Springer, vol. 36(1), pages 133-173, February.
- Lebret, Rémi & Iovleff, Serge & Langrognet, Florent & Biernacki, Christophe & Celeux, Gilles & Govaert, Gérard, 2015. "Rmixmod: The R Package of the Model-Based Unsupervised, Supervised, and Semi-Supervised Classification Mixmod Library," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 67(i06).
- Deb, Partha & Trivedi, Pravin K., 2002. "The structure of demand for health care: latent class versus two-part models," Journal of Health Economics, Elsevier, vol. 21(4), pages 601-625, July.
- Deb, Partha & Gallo, William T. & Ayyagari, Padmaja & Fletcher, Jason M. & Sindelar, Jody L., 2011. "The effect of job loss on overweight and drinking," Journal of Health Economics, Elsevier, vol. 30(2), pages 317-327, March.
- Payandeh Najafabadi Amir T. & MohammadPour Saeed, 2018. "A k-Inflated Negative Binomial Mixture Regression Model: Application to Rate–Making Systems," Asia-Pacific Journal of Risk and Insurance, De Gruyter, vol. 12(2), pages 1-31, July.
- Padmaja Ayyagari & Partha Deb & Jason Fletcher & William Gallo & Jody L. Sindelar, 2013. "Understanding Heterogeneity In Price Elasticities In The Demand For Alcohol For Older Individuals," Health Economics, John Wiley & Sons, Ltd., vol. 22(1), pages 89-105, January.
- Park, Jeong-gun & Basawa, I. V., 2002. "Estimation for mixtures of Markov processes," Statistics & Probability Letters, Elsevier, vol. 59(3), pages 235-244, October.
- Heinz Holling & Katrin Jansen & Walailuck Böhning & Dankmar Böhning & Susan Martin & Patarawan Sangnawakij, 2022. "Estimation of Effect Heterogeneity in Rare Events Meta-Analysis," Psychometrika, Springer;The Psychometric Society, vol. 87(3), pages 1081-1102, September.
- Vincenzo Atella & Francesco Brindisi & Partha Deb & Furio C. Rosati, 2004.
"Determinants of access to physician services in Italy: a latent class seemingly unrelated probit approach,"
Health Economics, John Wiley & Sons, Ltd., vol. 13(7), pages 657-668, July.
- Vincenzo Atella & Francesco Brindisi & Partha Deb & Furio C. Rosati, 2003. "Determinants of Access to Physician Services in Italy: A Latent Class Seemingly Unrelated Probit Approach," CEIS Research Paper 36, Tor Vergata University, CEIS.
- Claudia Czado & Tilmann Gneiting & Leonhard Held, 2009. "Predictive Model Assessment for Count Data," Biometrics, The International Biometric Society, vol. 65(4), pages 1254-1261, December.
- Lluís Bermúdez & Dimitris Karlis & Isabel Morillo, 2020. "Modelling Unobserved Heterogeneity in Claim Counts Using Finite Mixture Models," Risks, MDPI, vol. 8(1), pages 1-13, January.
- Hynes, Stephen & Greene, William, 2011.
"Estimating recreation demand with on-site panel data: An application of a latent class truncated and endogenously stratified count data model,"
Working Papers
135171, National University of Ireland, Galway, Socio-Economic Marine Research Unit.
- Hynes, Stephen & Greene, William, 2011. "Estimating recreation demand with on-site panel data: An application of a latent class truncated and endogenously stratified count data model," Working Papers 148925, National University of Ireland, Galway, Socio-Economic Marine Research Unit.
- Salvatore Ingrassia & Antonio Punzo & Giorgio Vittadini & Simona Minotti, 2015.
"The Generalized Linear Mixed Cluster-Weighted Model,"
Journal of Classification, Springer;The Classification Society, vol. 32(1), pages 85-113, April.
- Salvatore Ingrassia & Antonio Punzo & Giorgio Vittadini & Simona Minotti, 2015. "Erratum to: The Generalized Linear Mixed Cluster-Weighted Model," Journal of Classification, Springer;The Classification Society, vol. 32(2), pages 327-355, July.
- Ian Wadsworth & Lisa V. Hampson & Thomas Jaki & Graeme J. Sills & Anthony G. Marson & Richard Appleton, 2020. "A quantitative framework to inform extrapolation decisions in children," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(2), pages 515-534, February.
- Chadha, Alka, 2009. "TRIPs and patenting activity: Evidence from the Indian pharmaceutical industry," Economic Modelling, Elsevier, vol. 26(2), pages 499-505, March.
- Jörgen Hellström & Jonas Nordström, 2008. "A count data model with endogenous household specific censoring: the number of nights to stay," Empirical Economics, Springer, vol. 35(1), pages 179-192, August.
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:bla:stanee:v:70:y:2016:i:2:p:100-122. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0039-0402 .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.
Printed from https://ideas.repec.org/a/bla/stanee/v70y2016i2p100-122.html