Among various approaches for implementing prognostic algorithms data-driven algorithms are popular in the industry due to their intuitive nature and relatively fast developmental cycle. However, no matter how easy it may seem, there are several pitfalls that one must watch out for while developing a data-driven prognostic algorithm. One such pitfall is the uncertainty inherent in the system. At...

The study is investigated on an alternative method for the construction of strata using sensitivity level when samples are selected with simple random sampling replacement (SRSWR) and data collected by scrambled optional randomization technique sensitive characters. Thus, randomized response model , where k a variable having value 1 if 0 otherwise, was considered finding out Approximate Optimum...

We develop cryptographically secure techniques to guarantee unconditional privacy for respondents to polls. Our constructions are efficient and practical, and are shown not to allow cheating respondents to affect the “tally” by more than their own vote — which will be given the exact same weight as that of other respondents. We demonstrate solutions to this problem based on both traditional cry...

Procuring reliable data on sensitive/stigmatizing variables is a tricky issue in many social surveys. When questioned through direct questioning respondents may report evasive answers on such sensitive variables. Consequently, a bias creeps into the estimates based on evasive answers. Different indirect questioning methods such as Item Count Technique, Three Cards Method and Randomized Response...