Search: onr:"swepub:oai:DiVA.org:umu-203125" >
Quantile regression...
Quantile regression with interval-censored data in questionnaire-based studies
-
- Angelov, Angel G. (author)
- Umeå universitet,Statistik,Department of Probability, Operations Research and Statistics, Faculty of Mathematics and Informatics, Sofia University St. Kliment Ohridski, Sofia, Bulgaria
-
- Ekström, Magnus, 1966- (author)
- Swedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Umeå universitet,Statistik,Department of Forest Resource Management, Swedish University of Agricultural Sciences, Umeå, Sweden,Institutionen för skoglig resurshushållning,Umeå University
-
- Puzon, Klarizze (author)
- United Nations University World Institute for Development Economics Research, Helsinki, Finland
-
show more...
-
- Arcenas, Agustin (author)
- School of Economics, University of the Philippines, Diliman, Quezon City, Philippines
-
- Kriström, Bengt (author)
- Swedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Institutionen för skogsekonomi,Department of Forest Economics
-
show less...
-
(creator_code:org_t)
-
- 2022-12-08
- 2024
- English.
-
In: Computational statistics (Zeitschrift). - : Springer Berlin/Heidelberg. - 0943-4062 .- 1613-9658. ; 39:2, s. 583-603
- Related links:
-
https://doi.org/10.1...
-
show more...
-
https://umu.diva-por... (primary) (Raw object)
-
https://pub.epsilon.... (primary) (Raw object) (free)
-
https://urn.kb.se/re...
-
https://doi.org/10.1...
-
https://res.slu.se/i...
-
show less...
Abstract
Subject headings
Close
- Interval-censored data can arise in questionnaire-based studies when the respondent gives an answer in the form of an interval without having pre-specified ranges. Such data are called self-selected interval data. In this case, the assumption of independent censoring is not fulfilled, and therefore the ordinary methods for interval-censored data are not suitable. This paper explores a quantile regression model for self-selected interval data and suggests an estimator based on estimating equations. The consistency of the estimator is shown. Bootstrap procedures for constructing confidence intervals are considered. A simulation study indicates satisfactory performance of the proposed methods. An application to data concerning price estimates is presented.
Subject headings
- NATURVETENSKAP -- Matematik -- Sannolikhetsteori och statistik (hsv//swe)
- NATURAL SCIENCES -- Mathematics -- Probability Theory and Statistics (hsv//eng)
Keyword
- Dependent censoring
- Estimating equation
- Interval-censored data
- Quantile regression
- Self-selected interval
Publication and Content Type
- ref (subject category)
- art (subject category)
Find in a library
To the university's database