The randomized response (RR) procedures for estimating the proportion (π) of a population belonging to a sensitive or stigmatized group ask each respondent to report a response by randomly transforming his/her true attribute into one of several response categories. In this paper, we present a common framework for discussing various RR surveys of dichotomous populations with polychotomous respon...

A population study of measured inflow values of eyes of a group of adult male rhesus monkeys was done with a randomized technique of constant-pressure infusion. Each eye was presented with a sequence of 18 4-minute runs, consisting of three infusion runs for each of six pressures, in which the order of appearance of a given pressure had been randomized. A statistical analysis of the results ind...

In this paper proposes a Randomized Virtual Scanning Technique to optimize the performance for the road network surveillance. The Sensor it may be scan the area of road network. The road network is show as a graph. So it may scan the area through genetic algorithm. The main focus is to improve the energy and performance of the sensor scanning process. The sensing programming rule plays a job fo...

The maximum likelihood estimation of the iid normal linear regression model where some of the covariates are subject to randomized response is discussed. Randomized response (RR) is an interview technique that can be used when sensitive questions have to be asked and respondents are reluctant to answer directly. RR variables are described as misclassified categorical variables where conditional...

In this paper automatic sensor identification of sensor classes within a high-density randomized array, without a priori knowledge of sensor locations, is demonstrated. Two different fluorescence-based sensor types, with hundreds of replicates each, were randomly distributed into an optical imaging fiber array platform. The sensor element types were vapor-sensitive microspheres with the environ...