Sat Gupta

According to our database1, Sat Gupta authored at least 16 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Mitigating lack of trust in quantitative randomized response technique models.
Commun. Stat. Simul. Comput., June, 2024

A Mixture Quantitative Randomized Response Model That Improves Trust in RRT Methodology.
Axioms, January, 2024

2023
On distribution function under two-phase stratified sampling using two auxiliary variables for mean estimation.
Commun. Stat. Simul. Comput., August, 2023

A mixture binary RRT model with a unified measure of privacy and efficiency.
Commun. Stat. Simul. Comput., June, 2023

2022
Mean estimation with generalized scrambling using two-phase sampling.
Commun. Stat. Simul. Comput., 2022

2021
Mean estimation of sensitive variables under measurement errors using optional RRT models.
Commun. Stat. Simul. Comput., 2021

2020
A ratio-cum-regression estimator of population mean in unequal probability sampling design.
Commun. Stat. Simul. Comput., 2020

2018
Circular versions of systematic sampling in the presence of linear trend.
Commun. Stat. Simul. Comput., 2018

2017
Estimation of finite population mean using two auxiliary variables in stratified two-phase sampling.
Commun. Stat. Simul. Comput., 2017

A regression estimator for finite population mean of a sensitive variable using an optional randomized response model.
Commun. Stat. Simul. Comput., 2017

2016
Improved Exponential Type Estimators of the Mean of a Sensitive Variable in the Presence of Nonsensitive Auxiliary Information.
Commun. Stat. Simul. Comput., 2016

2015
A Two-stage Binary Optional Randomized Response Model.
Commun. Stat. Simul. Comput., 2015

Generalized Systematic Sampling.
Commun. Stat. Simul. Comput., 2015

Preface.
Commun. Stat. Simul. Comput., 2015

2014
An Improved Generalized Difference-Cum-Ratio-Type Estimator for the Population Variance in Two-Phase Sampling Using Two Auxiliary Variables.
Commun. Stat. Simul. Comput., 2014

Exponential-Type Estimators of the Mean of a Sensitive Variable in the Presence of Nonsensitive Auxiliary Information.
Commun. Stat. Simul. Comput., 2014


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