Some Efficient Estimators in Optional Randomized Response Technique (RRT) Model

Abstract

Chapter 1 introduces some basic concepts related Randomized Response Technique (RRT) Model Chapter 2 providing an overview of the existing literature, this review aims to highlight the strengths and limitations of different estimation methods in Randomized Response Technique (RRT), ultimately contributing to the advancement of this important field. Chapter 3 focusing on a thorough and comprehensive examination of various prominent Randomized Response Technique models in the upcoming discussions. Chapter 4 made some adjustments to certain estimators such as the additive ratio estimator and the multiplicative ratio estimator. Through these modifications, introduced some novel regression-based estimator that demonstrates improved efficiency. Chapter 5 demonstrate the simulation study and effectiveness of the estimators that have been suggested 1 ˆ  MSREG and 2 ˆ  MSREG . Calculating BIAS and Both theoretically and empirically MSE's of the estimators. Chapter 6 discussed performance of the proposed estimators and some concluding remarks