A GENERALIZED RANDOMIZED RESPONSE MODEL

Generalized Forced Quantitative Randomized Response Model

A new generalized forced quantitative randomized response (GFQRR) model for estimating the population total of a sensitive variable is proposed and studied under a unified setup. The bias and variance expressions are derived under unequal probability sampling design. It is shown that the models due to Eichhorn and Hayre (1983), Bar-Lev, Bobovitch, and Boukai (2004), Liu and Chow (1976a, 1976b),...

A stratified unrelated question randomized response model

This 'paper presents a new randomized response model that combines Kim and Warde's (2004) stratified Warner's randomized response technique using optimal allocation with the unrelated question randomized response model. The empirical studies performed show that, for the prior information given, the new model is more efficient in terms of variance (in the case of completely truthful reporting) a...

Randomized Response Group Testing Model

New Randomized Response Procedures

This article focuses on the estimation of population proportion when the study variable is sensitive in nature. Two implicit randomized response techniques are proposed where the unrelated trait can be chosen subjectively. In addition to unbiased estimation of population proportion and variance, an empirical study is conducted to inspect the relative efficiency facet of the proposed techniques....

A generalized regression model for a binary response

In most cases authors are permitted to post their version of the article (e.g. in Word or Tex form) to their personal website or institutional repository. Authors requiring further information regarding Elsevier's archiving and manuscript policies are encouraged to visit: a b s t r a c t Logistic regression is the closest model, given its sufficient statistics, to the model of constant success ...