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
