background the current distribution of and access to health services along with the future health needs of the population have prompted wide application of geographic information systems (giss). during recent years, gis has been used in public health management for planning and organization of healthcare services. this study investigates geographical accessibility of residential areas in bandar...

To model possible suggested changes in TCP window adap tation in response to randomized feedback, such as ECN, we formulate a generalized verslon of the TCP congestion avoidance algorithm. We first consider multiple such generalized TCP flows sharing a bottleneck Mer under the Assured Service model and use a Rxed point technique to obtain the mean window sizes and throughputs for the TCP flows....

Submitted: Apr 11, 2013; Accepted: May 18, 2013; Published: Jul 20, 2013 Abstract: This article focuses on the estimation of population mean of a sensitive variable by using additive scrambling technique. The proposed estimator requires two responses from each respondent. The proposed estimator is relatively more efficient than the existing unbiased estimators utilizing the randomized or scramb...

In our data world, a host of not necessarily trusted controllers gather on individual subjects. To preserve her privacy and, more generally, informational self-determination, the has to be empowered by giving agency own data. Maximum is afforded local anonymization, that allows each anonymize before handing them controller. Randomized response (RR) anonymization approach able yield multi-dimens...

Warner proposed a methodology called randomized response techniques, which, through the random scrambling of sensitive variables, allows non-response rate to be reduced and bias diminished. In this document, we present technique using simple sampling. The variable is performed selection report Ri, i = 1,2,3. order evaluate accuracy efficiency estimators, simulation was carried out with two data...

Randomized response (RR) models are often used for analysing univariate randomized response data and measuring population prevalence of sensitive behaviours. There is much empirical support for the belief that RR methods improve the cooperation of the respondents. Recently, RR models have been extended to measure individual unidimensional behaviour. An extension of this modelling framework is p...

Collection of data on sensitive characteristics from human populations is not an easy task. For example sensitive questions: (a) Are you an Alawite? (b) Are you gay? (c) Have you ever molested a child? (d) Have you underreported your income on your tax return? (e) Do you smoke marijuana?, and (f) Have you ever cheated on an exam?, etc. These questions are not likely to be responded honestly by ...