Confidence intervals of the hazard rate function for discrete distributions using mixtures
Author
Abstract
Suggested Citation
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Roy, Dilip & Gupta, R. P., 1999. "Characterizations and model selections through reliability measures in the discrete case," Statistics & Probability Letters, Elsevier, vol. 43(2), pages 197-206, June.
- SIMAR, Leopold, 1976. "Maximum likelihood estimation of a compound Poisson process," LIDAM Reprints CORE 271, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Dimitri Karlis & Valentin Patilea, 2004. "Bootstrap Confidence Intervals in Mixtures of Discrete Distributions," Working Papers 2004-06, Center for Research in Economics and Statistics.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Tzougas, George & Karlis, Dimitris & Frangos, Nicholas, 2017. "Confidence intervals of the premiums of optimal Bonus Malus Systems," LSE Research Online Documents on Economics 70926, London School of Economics and Political Science, LSE Library.
- Leão, Dorival & Ohashi, Alberto, 2012. "On the Discrete Cramér-von Mises Statistics under Random Censorship," Insper Working Papers wpe_275, Insper Working Paper, Insper Instituto de Ensino e Pesquisa.
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.- Alfò, Marco & Carbonari, Lorenzo & Trovato, Giovanni, 2023.
"On the effects of taxation on growth: an empirical assessment,"
Macroeconomic Dynamics, Cambridge University Press, vol. 27(5), pages 1289-1318, July.
- Marco Alfò & Lorenzo Carbonari & Giovanni Trovato, 2020. "On the Effects of Taxation on Growth: an Empirical Assessment," CEIS Research Paper 480, Tor Vergata University, CEIS, revised 08 May 2020.
- Marco Alfò & Lorenzo Carbonari & Giovanni Trovato, 2022. "On the Effects of Taxation on Growth: an Empirical Assessment," Working Paper series 22-06, Rimini Centre for Economic Analysis.
- Andersson, Thomas & Brännäs, Kurt, 1991. "Explaining Cross-Country Variation in Nationalization Frequencies," Working Paper Series 319, Research Institute of Industrial Economics.
- Seungchul Baek & Junyong Park, 2022. "A computationally efficient approach to estimating species richness and rarefaction curve," Computational Statistics, Springer, vol. 37(4), pages 1919-1941, September.
- Michel Denuit & Claude Lefèvre & Moshe Shaked, 2000. "Stochastic Convexity of the Poisson Mixture Model," Methodology and Computing in Applied Probability, Springer, vol. 2(3), pages 231-254, September.
- Yacine Koucha & Alfredo D. Egidio dos Reis, 2021. "Approximations to ultimate ruin probabilities with a Wienner process perturbation," Papers 2107.02537, arXiv.org.
- Dimitri Karlis & Valentin Patilea, 2004. "Bootstrap Confidence Intervals in Mixtures of Discrete Distributions," Working Papers 2004-06, Center for Research in Economics and Statistics.
- Lim, Hwa Kyung & Li, Wai Keung & Yu, Philip L.H., 2014. "Zero-inflated Poisson regression mixture model," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 151-158.
- Glenn Ellison & Ashley Swanson, 2012.
"Heterogeneity in High Math Achievement Across Schools: Evidence from the American Mathematics Competitions,"
NBER Working Papers
18277, National Bureau of Economic Research, Inc.
- Glenn Ellison & Ashley Swanson, 2012. "Heterogeneity in High Math Achievement Across Schools: Evidence from the American Mathematics Competition," CESifo Working Paper Series 3903, CESifo.
- Chee, Chew-Seng, 2017. "A mixture model-based nonparametric approach to estimating a count distribution," Computational Statistics & Data Analysis, Elsevier, vol. 109(C), pages 34-44.
- Nan-Cheng Su & Wan-Ping Hung, 2018. "Characterizations of the geometric distribution via residual lifetime," Statistical Papers, Springer, vol. 59(1), pages 57-73, March.
- Dirk F. Moore & Choon Keun Park & Woollcott Smith, 2001. "Exploring Extra-Binomial Variation in Teratology Data Using Continuous Mixtures," Biometrics, The International Biometric Society, vol. 57(2), pages 490-494, June.
- Ronny Kuhnert & Dankmar Böhning, 2009. "CAMCR: Computer-Assisted Mixture model analysis for Capture–Recapture count data," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 93(1), pages 61-71, March.
- Piet Groeneboom & Geurt Jongbloed & Jon A. Wellner, 2008. "The Support Reduction Algorithm for Computing Non‐Parametric Function Estimates in Mixture Models," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 35(3), pages 385-399, September.
- Tzougas, George & Karlis, Dimitris & Frangos, Nicholas, 2017. "Confidence intervals of the premiums of optimal Bonus Malus Systems," LSE Research Online Documents on Economics 70926, London School of Economics and Political Science, LSE Library.
- Caporin, Massimiliano & Rossi, Eduardo & Santucci de Magistris, Paolo, 2017. "Chasing volatility," Journal of Econometrics, Elsevier, vol. 198(1), pages 122-145.
- Sarhan, Ammar M. & Kundu, Debasis, 2008. "Bayes estimators for reliability measures in geometric distribution model using masked system life test data," Computational Statistics & Data Analysis, Elsevier, vol. 52(4), pages 1821-1836, January.
- 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.
- Szymkowiak, Magdalena & Iwińska, Maria, 2016. "Characterizations of Discrete Weibull related distributions," Statistics & Probability Letters, Elsevier, vol. 111(C), pages 41-48.
- Gregory Cox, 2018. "Almost Sure Uniqueness of a Global Minimum Without Convexity," Papers 1803.02415, arXiv.org, revised Feb 2019.
- Richard B. Davies & Robert Crouchley, 1986. "The Mover-Stayer Model," Sociological Methods & Research, , vol. 14(4), pages 356-380, May.
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:51:y:2007:i:11:p:5388-5401. 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.