Randomized response techniques: a systematic review from the pioneering work of warner (1965) to the present
The randomized response technique is one of the most commonly used indirect questioning
methods to collect data on sensitive characteristics in survey research covering a wide …
methods to collect data on sensitive characteristics in survey research covering a wide …
Moment generating function, expectation and variance of ubiquitous distributions with applications in decision sciences: A review
Statistics have been widely used in many disciplines including science, social science,
business, engineering, and many others. One of the most important areas in statistics is to …
business, engineering, and many others. One of the most important areas in statistics is to …
Semiparametric estimation of a zero-inflated Poisson regression model with missing covariates
Zero-inflated Poisson (ZIP) regression models have been widely used to study the effects of
covariates in count data sets that have many zeros. However, often some covariates …
covariates in count data sets that have many zeros. However, often some covariates …
Estimation in zero-inflated binomial regression with missing covariates
We investigate inverse-probability-weighted (IPW) maximum likelihood estimation in zero-
inflated binomial regression with missing-at-random covariates. Large sample properties …
inflated binomial regression with missing-at-random covariates. Large sample properties …
Validation likelihood estimation method for a zero-inflated Bernoulli regression model with missing covariates
A zero-inflated Bernoulli (ZIBer) regression model is an alternative model in order to improve
fitting the binary outcome data that have many more zeros than expected under a regular …
fitting the binary outcome data that have many more zeros than expected under a regular …
Estimation of a zero-inflated Poisson regression model with missing covariates via nonparametric multiple imputation methods
Zero-inflated Poisson (ZIP) regression is widely applied to model effects of covariates on an
outcome count with excess zeros. In some applications, covariates in a ZIP regression …
outcome count with excess zeros. In some applications, covariates in a ZIP regression …
Using logistic regression in tracing the significance of rubber–textile conveyor belt damage
The main purpose of this work is to investigate different levels of damage that occur on
rubber–textile conveyor belts. The conveyor belt damage depends on the heterogeneity of …
rubber–textile conveyor belts. The conveyor belt damage depends on the heterogeneity of …
A novel efficient randomized response model designed for attributes of utmost sensitivity
The existence of potential incomplete truthful reporting emerges when dealing with topics of
great sensitivity. This paper introduces a novel, efficient randomized response model to …
great sensitivity. This paper introduces a novel, efficient randomized response model to …
[PDF][PDF] Applications of the Newton-Raphson method in decision sciences and education
BC Truong, N Van Thuan, NH Hau… - Advances in Decision …, 2019 - drive.google.com
Abstract The Newton-Raphson (NR) method is one of the most important and popular
methods to determine an optimal solution in many applications in the decision sciences and …
methods to determine an optimal solution in many applications in the decision sciences and …
Prediction of a sensitive feature under indirect questioning via Warner's randomized response technique and latent class model
We investigate the association of a sensitive characteristic or latent variable with observed
binary random variables by the randomized response (RR) technique of Warner in his …
binary random variables by the randomized response (RR) technique of Warner in his …