Estimating Equations for Removal Data Analysis
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
- Dirk F. Moore, 1987. "Modelling the Extraneous Variance in the Presence of Extra‐Binomial Variation," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 36(1), pages 8-14, March.
- D. A. Williams, 1982. "Extra‐Binomial Variation in Logistic Linear Models," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 31(2), pages 144-148, June.
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.- Christel Faes & Marc Aerts & Saskia Litière & Estelle Méroc & Yves Van der Stede & Koen Mintiens, 2011. "Estimating herd prevalence on the basis of aggregate testing of animals," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 174(1), pages 155-174, January.
- Erni Tri Astuti & Takashi Yanagawa, 2002. "Testing Trend for Count Data with Extra-Poisson Variability," Biometrics, The International Biometric Society, vol. 58(2), pages 398-402, June.
- Roberto Patuelli & Daniel A. Griffith & Michael Tiefelsdorf & Peter Nijkamp, 2011.
"Spatial Filtering and Eigenvector Stability: Space-Time Models for German Unemployment Data,"
International Regional Science Review, , vol. 34(2), pages 253-280, April.
- Roberto Patuelli & Daniel A. Griffith & Michael Tiefelsdorf & Peter Nijkamp, 2009. "Spatial Filtering and Eigenvector Stability: Space-Time Models for German Unemployment Data," Working Paper series 02_09, Rimini Centre for Economic Analysis, revised May 2010.
- Roberto Patuelli & Daniel A. Griffith & Michael Tiefelsdorf & Peter Nijkamp, 2009. "Spatial Filtering and Eigenvector Stability: Space-Time Models for German Unemployment Data," Quaderni della facoltà di Scienze economiche dell'Università di Lugano 0902, USI Università della Svizzera italiana.
- Francesca Dominici & Giovanni Parmigiani, 2001. "Bayesian Semiparametric Analysis of Developmental Toxicology Data," Biometrics, The International Biometric Society, vol. 57(1), pages 150-157, March.
- Mabel Morales-Otero & Vicente Núñez-Antón, 2021. "Comparing Bayesian Spatial Conditional Overdispersion and the Besag–York–Mollié Models: Application to Infant Mortality Rates," Mathematics, MDPI, vol. 9(3), pages 1-33, January.
- Paul D. Allison, 1987. "Introducing a Disturbance into Logit and Probit Regression Models," Sociological Methods & Research, , vol. 15(4), pages 355-374, May.
- Peter Congdon, 1990. "Issues in the Analysis of Small Area Mortality," Urban Studies, Urban Studies Journal Limited, vol. 27(4), pages 519-536, August.
- Chris J. Lloyd, 2000. "Regression Models for Convex ROC Curves," Biometrics, The International Biometric Society, vol. 56(3), pages 862-867, September.
- Anwer S. Ahmed & Minsup Song & Douglas E. Stevens, 2009. "Earnings characteristics and analysts’ differential interpretation of earnings announcements: An empirical analysis," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 49(2), pages 223-246, June.
- Richard B. Davies & Robert Crouchley, 1986. "The Mover-Stayer Model," Sociological Methods & Research, , vol. 14(4), pages 356-380, May.
- Steve Leeds & Alan E. Gelfand, 1989. "Estimation for dirichlet mixed models," Naval Research Logistics (NRL), John Wiley & Sons, vol. 36(2), pages 197-214, April.
- Terra L. Slaton & Walter W. Piegorsch & Stephen D. Durham, 2000. "Estimation and Testing with Overdispersed Proportions Using the Beta-Logistic Regression Model of Heckman and Willis," Biometrics, The International Biometric Society, vol. 56(1), pages 125-133, March.
- Garrett M. Fitzmaurice & John H. Goldthorpe, 1997. "Adjusting for Overdispersion in an Analysis of Comparative Social Mobility," Sociological Methods & Research, , vol. 25(3), pages 267-283, February.
- Maryam Aghayerashti & Ehsan Bahrami Samani & Mojtaba Ganjali, 2023. "Bayesian Latent Variable Model of Mixed Correlated Rank and Beta-Binomial Responses with Missing Data for the International Statistical Literacy Project Poster Competition," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 85(1), pages 210-250, May.
- Peter J. Hannan & David M. Murray, 1996. "Gauss or Bernoulli?," Evaluation Review, , vol. 20(3), pages 338-352, June.
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:biomet:v:55:y:1999:i:4:p:1263-1268. 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=0006-341X .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.