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 …
A review of regression procedures for randomized response data, including univariate and multivariate logistic regression, the proportional odds model and item …
MJLF Cruyff, U Böckenholt, PGM Van Der Heijden… - Handbook of …, 2016 - Elsevier
In survey research, it is often problematic to ask people sensitive questions because they
may refuse to answer or they may provide a socially desirable answer that does not reveal …
may refuse to answer or they may provide a socially desirable answer that does not reveal …
Comparison among Akaike information criterion, Bayesian information criterion and Vuong's test in model selection: A case study of violated speed regulation in …
KH Pho, S Ly, S Ly, TM Lukusa - Journal of Advanced Engineering and …, 2019 - jaec.vn
When doing research on scientific issues, it is very significant if our research issues are
closely connected to real applications. In reality, when analyzing data in practice, there are …
closely connected to real applications. In reality, when analyzing data in practice, there are …
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 …
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 …
Parameter estimations of zero-inflated negative binomial model with incomplete data
KH Pho, TM Lukusa - Applied Mathematical Modelling, 2024 - Elsevier
When overdispersion and zero-inflated feature are both concerned, Zero-inflated negative
binomial (ZINB) model tends to be more appropriate than the popular Zero-inflated Poisson …
binomial (ZINB) model tends to be more appropriate than the popular Zero-inflated Poisson …
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 …
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 …