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Efficient estimation of population variance of a sensitive variable using a new scrambling response model [PDF]

Scientific Reports, 2023
This study introduces a pioneering scrambling response model tailored for handling sensitive variables. Subsequently, a generalized estimator for variance estimation, relying on two auxiliary information sources, is developed following this novel model ...
Iram Saleem, Aamir Sanaullah, Laila A. Al-Essa, Shakila Bashir, Aned Al Mutairi   +4 more
doaj   +2 more sources

A generalized class of estimators for sensitive variable in the presence of measurement error and non-response. [PDF]

PLoS ONE, 2022
In this paper, a general class of estimators is proposed for estimating the finite population mean for sensitive variable, in the presence of measurement error and non-response in simple random sampling.
Erum Zahid, Javid Shabbir, Sat Gupta, Ronald Onyango, Sadia Saeed   +4 more
doaj   +2 more sources

Calibrated-Two Optional Randomized Response Techniques (C-TORRT) for the estimation of quantitative sensitive variable information. [PDF]

PLoS ONE
Accurate estimation of sensitive quantitative variables remains a challenge in survey research due to respondents' reluctance to disclose truthful information. While existing randomized response techniques (RRT) offer privacy protection, many suffer from
Mojeed Abiodun Yunusa, Ahmed Audu, Umar Usman, Kazeem Olalekan Aremu, Maggie Aphane   +4 more
doaj   +2 more sources

An efficient estimator of population variance of a sensitive variable with a new randomized response technique [PDF]

Heliyon
In sampling theory, a majority of the available estimators of population variance are designed for use with non-sensitive variables only. Such estimators cannot perform efficiently when the variable of interest is of sensitive nature, such as use of ...
Muhammad Azeem, Najma Salahuddin, Sundus Hussain, Musarrat Ijaz, Abdul Salam   +4 more
doaj   +2 more sources

Inversion model of soil salinity in alfalfa covered farmland based on sensitive variable selection and machine learning algorithms [PDF]

PeerJ
Purpose Timely and accurate monitoring of soil salinity content (SSC) is essential for precise irrigation management of large-scale farmland. Uncrewed aerial vehicle (UAV) low-altitude remote sensing with high spatial and temporal resolution provides a ...
Hong Ma, Wenju Zhao, Weicheng Duan, Fangfang Ma, Congcong Li, Zongli Li   +5 more
doaj   +3 more sources

Optimal strategy for improved estimation of population mean of sensitive variable using non-sensitive auxiliary variable

Journal of Big Data
To improve the transformed ratio type estimators, this study uses new population parameters that are derived from extra information using a randomized response technique (RRT).
Abdullah A. Zaagan, Dinesh K. Sharma, Ali M. Mahnashi, Mutum Zico Meetei, Subhash Kumar Yadav, Aakriti Sharma, Pranav Sharma   +6 more
doaj   +2 more sources

Scrambling Reports: New Estimators for Estimating the Population Mean of Sensitive Variables

Mathematics, 2023
Warner proposed a methodology called randomized response techniques, which, through the random scrambling of sensitive variables, allows the non-response rate to be reduced and the response bias to be diminished. In this document, we present a randomized
Pablo O. Juárez-Moreno, Agustín Santiago-Moreno, José M. Sautto-Vallejo, Carlos N. Bouza-Herrera   +3 more
doaj   +1 more source

Sensitivity of the DDM Peak to Geophysical Variables

IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, 2022
This work was (partially) sponsored by project SPOT: Sensing with Pioneering Opportunistic Techniques grant RTI2018-099008-B-C21/AEI/10.13039/501100011033.
Camps Carmona, Adriano José, Hyuk, Park
openaire   +2 more sources

Modulo-variable expansion sensitive scheduling [PDF]

Proceedings. Fifth International Conference on High Performance Computing (Cat. No. 98EX238), 2002
Modulo scheduling is an aggressive scheduling technique for loops that exploit instruction-level parallelism by overlapping successive iterations of the loop. Due to the nature of modulo scheduling, the lifetime of a variable can overlap with a subsequent definition of itself.
Valluri, Madhavi Gopal, Govindarajan, R
openaire   +2 more sources

Advances in Estimation of Sensitive Issues on Successive Occasions

Statistica, 2020
Surveys related to sensitive issues are accompanied with social desirability response bias which flaw the validity of analysis. This problem became serious when sensitive issues are estimated on successive occasions.
Kumari Priyanka, Pidugu Trisandhya
doaj   +1 more source