A Survey Design for a Sensitive Binary Variable Correlated with Another Nonsensitive Binary Variable [PDF]
Journal of Probability and Statistics, 2013 Tian et al. (2007) introduced a so-called hidden sensitivity model for evaluating the association of two sensitive questions with binary outcomes. However, in practice, we sometimes need to assess the association between one sensitive binary variable (e ...
Jun-Wu Yu, Yang Lu, Guo-Liang Tian
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Improved estimator for the estimation of sensitive variable using ORRT models
Research in StatisticsIn this study, we concern with the improved estimation of sensitive variable when there is non-response and measurement error on sensitive variable but the auxiliary variable is non sensitive in nature.
Sunil Kumar, Chanda Rani
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Estimation of Population Variance for a Sensitive Variable in Stratified Sampling Using Randomized Response Technique [PDF]
Revstat Statistical JournalIn this paper, Randomized Response technique (RRT) is used to propose some separate and combined variance estimators for a sensitive variable using stratified random sampling.
Badr Aloraini +3 more
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Some Calibration Estimators of the Mean of a Sensitive Variable Under Measurement Error [PDF]
MathematicsThis study explores the estimation of the mean of a sensitive variable using calibration estimators under measurement error. Three randomized response techniques are evaluated: Partial Randomized Response Technique, Compulsory Randomized Response ...
Sat Gupta +2 more
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Estimation of finite population mean for a sensitive variable using dual auxiliary information in the presence of measurement errors. [PDF]
PLoS One, 2019 In this study, we propose a new improved estimator of population mean for the sensitive variable in the presence of measurement error under simple and stratified random sampling.
Zahid E, Shabbir J.
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Sensitive Data Interest Group Road Map, 2022
, 2022 This Roadmap has been written for an RDA specific audience. It is intended to state the 2022 aim of the Sensitive Data IG for its group members, and to provide a summary of activities for future members/the wider RDA community.
Zhou, B +6 more
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Stochastic Randomized Response Model for a Quantitative Sensitive Random Variable [PDF]
, 2014 A new stochastic randomized response model is introduced that is useful for estimating the population mean of a sensitive quantitative variable. The proposed stochastic randomized response model is an extension of the stochastic randomized response model
Singh, Sarjinder +3 more
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An EPLS model for a variable production rate with stock-price sensitive demand and deterioration [PDF]
Yugoslav Journal of Operations Research, 2012 It is observed that large piles of consumer goods displayed in supermarkets lead consumers to buy more, which generates more profit to sellers. But a large number of on-hand display of stock leaves a negative impression on the buyer.
Roy T., Chaudhuri K.S.
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Learning fair prediction models with an imputed sensitive variable: Empirical studies
, 2022 As AI has a wide range of influence on human social life, issues of transparency and ethics of AI are emerging. In particular, it is widely known that due to the existence of historical bias in data against ethics or regulatory frameworks for fairness ...
Jeong, Hwichang +3 more
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Analysis and Validation of Sensitivity in Torque-Sensitive Actuators
Actuators, 2023 Across different fields within robotics, there is a great need for lightweight, efficient actuators with human-like performance. Linkage-based passive variable transmissions and torque-sensitive transmissions have emerged as promising solutions to meet ...
Minh Tran, Lukas Gabert, Tommaso Lenzi
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