Sökning: id:"swepub:oai:DiVA.org:umu-203125" > Quantile regression...
Fältnamn | Indikatorer | Metadata |
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000 | 03670naa a2200481 4500 | |
001 | oai:DiVA.org:umu-203125 | |
003 | SwePub | |
008 | 230116s2024 | |||||||||||000 ||eng| | |
009 | oai:slubar.slu.se:120738 | |
024 | 7 | a https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-2031252 URI |
024 | 7 | a https://doi.org/10.1007/s00180-022-01308-22 DOI |
024 | 7 | a https://res.slu.se/id/publ/1207382 URI |
040 | a (SwePub)umud (SwePub)slu | |
041 | a engb eng | |
042 | 9 SwePub | |
072 | 7 | a ref2 swepub-contenttype |
072 | 7 | a art2 swepub-publicationtype |
100 | 1 | a Angelov, Angel G.u Umeå universitet,Statistik,Department of Probability, Operations Research and Statistics, Faculty of Mathematics and Informatics, Sofia University St. Kliment Ohridski, Sofia, Bulgaria4 aut0 (Swepub:umu)anan0299 |
245 | 1 0 | a Quantile regression with interval-censored data in questionnaire-based studies |
264 | c 2022-12-08 | |
264 | 1 | b Springer Berlin/Heidelberg,c 2024 |
338 | a electronic2 rdacarrier | |
520 | a 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. | |
650 | 7 | a NATURVETENSKAPx Matematikx Sannolikhetsteori och statistik0 (SwePub)101062 hsv//swe |
650 | 7 | a NATURAL SCIENCESx Mathematicsx Probability Theory and Statistics0 (SwePub)101062 hsv//eng |
653 | a Dependent censoring | |
653 | a Estimating equation | |
653 | a Interval-censored data | |
653 | a Quantile regression | |
653 | a Self-selected interval | |
700 | 1 | a Ekström, Magnus,d 1966-u 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 University4 aut0 (Swepub:slu)49173 |
700 | 1 | a Puzon, Klarizzeu United Nations University World Institute for Development Economics Research, Helsinki, Finland4 aut |
700 | 1 | a Arcenas, Agustinu School of Economics, University of the Philippines, Diliman, Quezon City, Philippines4 aut |
700 | 1 | a Kriström, Bengtu Swedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Institutionen för skogsekonomi,Department of Forest Economics4 aut0 (Swepub:slu)47411 |
710 | 2 | a Umeå universitetb Statistik4 org |
710 | 2 | a Sveriges lantbruksuniversitet |
773 | 0 | t Computational statistics (Zeitschrift)d : Springer Berlin/Heidelbergg 39:2, s. 583-603q 39:2<583-603x 0943-4062x 1613-9658 |
856 | 4 | u https://doi.org/10.1007/s00180-022-01308-2y Fulltext |
856 | 4 | u https://umu.diva-portal.org/smash/get/diva2:1727331/FULLTEXT02.pdfx primaryx Raw objecty fulltext:print |
856 | 4 | u https://pub.epsilon.slu.se/id/eprint/33331/contentsx primaryx Raw objectx freey FULLTEXT |
856 | 4 8 | u https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-203125 |
856 | 4 8 | u https://doi.org/10.1007/s00180-022-01308-2 |
856 | 4 8 | u https://res.slu.se/id/publ/120738 |
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