Density estimation for data with rounding errors
Author
Abstract
Suggested Citation
DOI: 10.1016/j.csda.2012.02.016
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
- Koo, Ja-Yong & Kooperberg, Charles, 2000. "Logspline density estimation for binned data," Statistics & Probability Letters, Elsevier, vol. 46(2), pages 133-147, January.
- B. W. Silverman, 1982. "Kernel Density Estimation Using the Fast Fourier Transform," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 31(1), pages 93-99, March.
- Ansley Coale & Shaomin Li, 1991. "The Effect of Age Misreporting in China on the Calculation of Mortality Rates at Very High Ages," Demography, Springer;Population Association of America (PAA), vol. 28(2), pages 293-301, May.
- Prithwis Gupta, 1975. "A general method of correction for age misreporting in census populations," Demography, Springer;Population Association of America (PAA), vol. 12(2), pages 303-312, May.
- A. Delaigle & I. Gijbels, 2004. "Bootstrap bandwidth selection in kernel density estimation from a contaminated sample," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 56(1), pages 19-47, March.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Christopher Withers & Saralees Nadarajah, 2015. "Cumulants of a random variable distributed uniformly on the first $$n$$ n integers," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 99(2), pages 229-236, April.
- Bermúdez, Lluís & Karlis, Dimitris & Santolino, Miguel, 2017. "A finite mixture of multiple discrete distributions for modelling heaped count data," Computational Statistics & Data Analysis, Elsevier, vol. 112(C), pages 14-23.
- Christopher S. Withers & Saralees Nadarajah, 2015. "Bias reduction when data are rounded," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 69(3), pages 236-271, August.
- Walter, Paul & Weimer, Katja, 2018. "Estimating poverty and inequality indicators using interval censored income data from the German microcensus," Discussion Papers 2018/10, Free University Berlin, School of Business & Economics.
- Groß, Marcus & Rendtel, Ulrich & Schmid, Timo & Schmon, Sebastian & Tzavidis, Nikos, 2015. "Estimating the density of ethnic minorities and aged people in Berlin: Multivariate kernel density estimation applied to sensitive geo-referenced administrative data protected via measurement error," Discussion Papers 2015/7, Free University Berlin, School of Business & Economics.
- Marcus Groß & Ulrich Rendtel & Timo Schmid & Sebastian Schmon & Nikos Tzavidis, 2017. "Estimating the density of ethnic minorities and aged people in Berlin: multivariate kernel density estimation applied to sensitive georeferenced administrative data protected via measurement error," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 180(1), pages 161-183, January.
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.- Javier D. Donna & José†Antonio EspÃn†Sánchez, 2018.
"Complements and substitutes in sequential auctions: the case of water auctions,"
RAND Journal of Economics, RAND Corporation, vol. 49(1), pages 87-127, March.
- Donna, Javier & Espin-Sanchez, Jose, 2014. "Complements and Substitutes in Sequential Auctions: The Case of Water Auctions," MPRA Paper 55079, University Library of Munich, Germany.
- Donna, Javier & Espin-Sanchez, Jose, 2018. "Complements and Substitutes in Sequential Auctions: The Case of Water Auctions," MPRA Paper 90052, University Library of Munich, Germany.
- Adriano Z. Zambom & Ronaldo Dias, 2013. "A Review of Kernel Density Estimation with Applications to Econometrics," International Econometric Review (IER), Econometric Research Association, vol. 5(1), pages 20-42, April.
- Holmström, Lasse, 2000. "The Accuracy and the Computational Complexity of a Multivariate Binned Kernel Density Estimator," Journal of Multivariate Analysis, Elsevier, vol. 72(2), pages 264-309, February.
- Fabienne Comte & Adeline Samson, 2012. "Nonparametric estimation of random-effects densities in linear mixed-effects model," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 24(4), pages 951-975, December.
- Hao Dong & Daniel L. Millimet, 2020.
"Propensity Score Weighting with Mismeasured Covariates: An Application to Two Financial Literacy Interventions,"
JRFM, MDPI, vol. 13(11), pages 1-24, November.
- Dong, Hao & Millimet, Daniel L., 2020. "Propensity Score Weighting with Mismeasured Covariates: An Application to Two Financial Literacy Interventions," IZA Discussion Papers 13893, Institute of Labor Economics (IZA).
- Hao Dong & Daniel L. Millimet, 2020. "Propensity Score Weighting with Mismeasured Covariates: An Application to Two Financial Literacy Interventions," Departmental Working Papers 2013, Southern Methodist University, Department of Economics.
- Ichimura, Hidehiko & Todd, Petra E., 2007.
"Implementing Nonparametric and Semiparametric Estimators,"
Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 6, chapter 74,
Elsevier.
- Hidehiko Ichimura & Petra E. Todd, 2006. "Implementing Nonparametric and Semiparametric Estimators," CIRJE F-Series CIRJE-F-452, CIRJE, Faculty of Economics, University of Tokyo.
- Afza Rasul & Jamal Abdul Nasir & Dmitri A. Jdanov, 2024. "New adjustment procedure for distortion in age distribution," MPIDR Working Papers WP-2024-001, Max Planck Institute for Demographic Research, Rostock, Germany.
- Pinkse, Joris, 1998. "A consistent nonparametric test for serial independence," Journal of Econometrics, Elsevier, vol. 84(2), pages 205-231, June.
- Rizwan Muhammad & Yaolong Zhao & Fan Liu, 2019. "Spatiotemporal Analysis to Observe Gender Based Check-In Behavior by Using Social Media Big Data: A Case Study of Guangzhou, China," Sustainability, MDPI, vol. 11(10), pages 1-30, May.
- Papkov, Galen I. & Scott, David W., 2010. "Local-moment nonparametric density estimation of pre-binned data," Computational Statistics & Data Analysis, Elsevier, vol. 54(12), pages 3421-3429, December.
- Meintanis, S. & Ushakov, N. G., 2004. "Binned goodness-of-fit tests based on the empirical characteristic function," Statistics & Probability Letters, Elsevier, vol. 69(3), pages 305-314, September.
- Yi Zeng & Danan Gu & Kenneth C. Land, 2003. "A new method for correcting the underestimation of disabled life expectancy inherent in conventional methods: application to the oldest old in China," MPIDR Working Papers WP-2003-033, Max Planck Institute for Demographic Research, Rostock, Germany.
- Scott, David W., 2004. "Multivariate Density Estimation and Visualization," Papers 2004,16, Humboldt University of Berlin, Center for Applied Statistics and Economics (CASE).
- Hao Dong & Taisuke Otsu & Luke Taylor, 2023.
"Bandwidth selection for nonparametric regression with errors-in-variables,"
Econometric Reviews, Taylor & Francis Journals, vol. 42(4), pages 393-419, April.
- Hao Dong & Taisuke Otsu & Luke Taylor, 2021. "Bandwidth Selection for Nonparametric Regression with Errors-in-Variables," Departmental Working Papers 2104, Southern Methodist University, Department of Economics.
- Hao Dong & Taisuke Otsu & Luke Taylor, 2022. "Bandwidth selection for nonparametric regression with errors-in-variables," STICERD - Econometrics Paper Series 620, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- Dong, Hao & Otsu, Taisuke & Taylor, Luke, 2023. "Bandwidth selection for nonparametric regression with errors-in-variables," LSE Research Online Documents on Economics 115551, London School of Economics and Political Science, LSE Library.
- Sain, Stephan R., 2002. "Multivariate locally adaptive density estimation," Computational Statistics & Data Analysis, Elsevier, vol. 39(2), pages 165-186, April.
- Yousri Slaoui, 2021. "Data-driven Deconvolution Recursive Kernel Density Estimators Defined by Stochastic Approximation Method," Sankhya A: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 83(1), pages 312-352, February.
- Lopes, Hedibert F. & Dias, Ronaldo, 2011. "Bayesian mixture of parametric and nonparametric density estimation: A Misspecification Problem," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 31(1), March.
- Fabienne Comte & Gwennaelle Mabon & Adeline Samson, 2017. "Spline regression for hazard rate estimation when data are censored and measured with error," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 71(2), pages 115-140, May.
- Dong, Hao & Otsu, Taisuke & Taylor, Luke, 2022.
"Estimation of varying coefficient models with measurement error,"
Journal of Econometrics, Elsevier, vol. 230(2), pages 388-415.
- Hao Dong & Taisuke Otsu & Luke Taylor, 2019. "Estimation of Varying Coefficient Models with Measurement Error," Departmental Working Papers 1905, Southern Methodist University, Department of Economics.
- Hao Dong & Taisuke Otsu & Luke Taylor, 2019. "Estimation of Varying Coefficient Models with Measurement Error," STICERD - Econometrics Paper Series 607, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- Dong, Hao & Otsu, Taisuke & Taylor, Luke, 2022. "Estimation of varying coefficient models with measurement error," LSE Research Online Documents on Economics 108147, London School of Economics and Political Science, LSE Library.
- Zeng Yi & Danan Gu & Kenneth Land, 2007. "The association of childhood socioeconomic conditions with healthy longevity at the oldest-old ages in China," Demography, Springer;Population Association of America (PAA), vol. 44(3), pages 497-518, August.
More about this item
Keywords
Bootstrapping; Kernel density estimation; Measurement error; Fast Fourier transformation; Deconvolution density estimation;All these keywords.
Statistics
Access and download statisticsCorrections
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:65:y:2013:i:c:p:4-12. 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.