New estimation techniques for ordinal sensitive variables
type: Item
instance of: scholarly article
title: New estimation techniques for ordinal sensitive variables
author: B. Cobo
author: Pier Francesco Perri
author: M. Rueda
published in: Mathematics and Computers in Simulation
publication date: 2021-03-06T00:00:00Z
full work available at URL: http://hdl.handle.net/10481/68499
Mathematics Subject Classification ID: 62Dxx
Mathematics Subject Classification ID: 62-XX
zbMATH DE Number: 7318344
zbMATH Keywords: ordinal logistic regression
zbMATH Keywords: randomized response
zbMATH Keywords: calibration
zbMATH Keywords: Monte Carlo simulation
describes a project that uses: R
MaRDI profile type: Publication
OpenAlex ID: W3039639726
cites work: Q4039943
cites work: Calibration Estimators in Survey Sampling
cites work: A Generalization of Sampling Without Replacement From a Finite Universe
cites work: Some New Results on the Multinomial Randomized Response Model
cites work: A New Discrete Quantitative Randomized Response Model
cites work: Model assisted survey sampling
cites work: Randomized Response: A Survey Technique for Eliminating Evasive Answer Bias
cites work: A Model-Calibration Approach to Using Complete Auxiliary Information From Survey Data
DOI: 10.1016/J.MATCOM.2020.06.016
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description: scientific article; zbMATH DE number 7318344