- Survey Sampling and Estimation Techniques
- Statistical Methods and Bayesian Inference
- Statistical Distribution Estimation and Applications
- Bayesian Methods and Mixture Models
- Hate Speech and Cyberbullying Detection
- Advanced Statistical Methods and Models
- HIV, Drug Use, Sexual Risk
- Financial Risk and Volatility Modeling
- Marine animal studies overview
- Asian Geopolitics and Ethnography
- Advanced Statistical Process Monitoring
- Market Dynamics and Volatility
- Anatomy and Medical Technology
- 3D Shape Modeling and Analysis
- Agricultural Economics and Practices
- Forensic Anthropology and Bioarchaeology Studies
- Nursing education and management
- Obesity, Physical Activity, Diet
- Mathematics Education and Programs
- Workplace Health and Well-being
- Hydrology and Drought Analysis
- Adipose Tissue and Metabolism
- Fuzzy Systems and Optimization
- Health and Medical Research Impacts
- Survey Methodology and Nonresponse
Greensboro College
2013-2025
University of North Carolina at Greensboro
2016-2025
Quaid-i-Azam University
2005-2016
Robert Wood Johnson Foundation
2012
University of South Alabama
2006
University of Southern Maine
1989-2003
In Brief Objective Although research has been conducted on how nurse staffing levels affect outcomes, there little investigation into the health-related productivity of nurses is related to quality care. Two major causes worker presenteeism (reduced on-the-job as a result health problems) are musculoskeletal pain and mental issues, particularly depression. This study sought investigate extent which or depression (or both) in RNs affects their work self-reported care considered associated...
Abstract Kadilar and Cingi [Ratio estimators in simple random sampling, Appl. Math. Comput. 151 (3) (2004), pp. 893–902] introduced some ratio-type of finite population mean under sampling. Recently, [New ratio using correlation coefficient, Interstat 4 (2006), 1–11] have suggested another form by modifying the estimator developed Singh Tailor [Use known coefficient estimating mean, Stat. Transit. 6 (2003), 655–560]. [Improvement Lett. 19 (1) 75–79] yet class taking a weighted average two...
Abstract Kadilar and Cingi (2006 , C. H. ( 2006 ). Improvement in variance estimation using auxiliary information . Hacett. J. Math. Statist. 35 1 ): 111 – 115 [Google Scholar]) have introduced an estimator for the population variable simple random sampling. We propose a new ratio-type exponential which is always more efficient than usual ratio regression estimators suggested by Isaki (1983 T. 1983 Variance Amer. Assoc. 78 : 117 123 .[Taylor & Francis Online], [Web of Science ®] Scholar])....
Sousa et al. (2010 , R. Shabbir J. Real P. C. Gupta S. ( 2010 ). Ratio estimation of the mean a sensitive variable in presence auxiliary information . Statist. Theor. Prac. 4 3 ): 495 – 507 .[Taylor & Francis Online] [Google Scholar]) introduced ratio estimator for and showed that this performs better than ordinary based on randomized response technique (RRT). In article, we introduce regression even modest correlation between primary variables. The underlying assumption is nature but non...
Randomized response technique (RRT) surveys are designed to secure honest answers sensitive questions. In this study, we consider the important issue of measurement error (ME). While non-response, a common culprit for survey inaccuracy, is lesser in RRT studies because they conducted through face-to-face interviews, particular significance. models generally more complex than other methods, sometimes requiring that respondents follow ordered instructions, draw cards from decks, and/or perform...
Gupta et al. [2] used a Randomized Response Technique (RRT) to propose several estimators for finite population variance of sensitive study variable using auxiliary information. In this paper, we modify those by the more efficient form RRT, namely, Optional (ORRT). Performance proposed is evaluated unified measure respondent privacy and estimator efficiency. We also estimate sensitivity level variable.
In this article, we propose an exponential ratio type estimator for estimating the finite population mean in simple and stratified random sampling. The properties of proposed are obtained comparison is made with some existing estimators. found to perform better than usual mean, ratio, traditional regression Pandy (1980 , G. S. ( 1980 ). Product-cum-power estimators . Cal. Statist. Assoc. Bull. 29 : 103 – 108 [Google Scholar]) We use six data sets sampling case two compare performances all...
Aim To determine if younger and older hospital employed nurses have differences in their self-reported health, health related productivity quality of care. Background An understanding age cohort may assist nurse managers the potential care concerns staff. Method A cross-sectional survey design was utilised. There were 1171 usable surveys returned (47% response rate). Nurses over 50 made up 26% respondents. Result Older had a higher body mass index (BMI), mental well-being, pain scores, 12%...
In this study we propose an improved mean estimator for a sensitive variable under simple random sampling using Optional RRT models when measurement errors are present. We discuss two scrambling options and compare the square error (MSE) of proposed with some commonly used estimators. Both theoretical empirical results show superiority over existing Models evaluated both respect to efficiency respondent privacy.
Abstract Following Searls (1964), we propose an estimator for estimating the finite population variance. This is combination of Singh et al. (1973), and Prasad (1992) estimators has improvement over (1992), several other under certain conditions. Validity proposed examined by using seven numerical examples.
Kadilar and Cingi (2005 , C. H. ( 2005 ). A new ratio estimator in stratified sampling . Comm. Statist. Theory Meth. 34 : 1 – 6 [CSA] [Taylor & Francis Online], [Web of Science ®] [Google Scholar]) have suggested a sampling. The efficiency this is compared with the traditional combined on basis mean square error (MSE). We propose another by utilizing simple transformation introduced Bedi (1996 P. K. 1996 Efficient utilization auxiliary information at estimation stage Biomet. J. 38 8 ): 973...
Sousa et al. and Gupta suggested ratio regression-type estimators of the mean a sensitive variable using nonsensitive auxiliary variable. This article proposes exponential-type one two variables to improve efficiency estimator based on randomized response technique. The expressions for squared errors (MSEs) bias, up first-order approximation, have been obtained. It is shown that proposed are more efficient than existing estimators. gain in over has also with simulation study by real data.
In this study, we discuss mean estimation of sensitive variables in the presence measurement errors and non-response using Stratified Random Sampling, present a comparison proposed estimator with some existing estimators.
This paper proposes an optional RRT method to estimate the sensitivity level of personal interview survey questions with quantitative response. The is similar one used by Gupta et al. (2002) but estimates both average response and question. A numerical example explains estimation process a simulation study assesses effectiveness proposed method. We also compare performance estimator “Full” “Partial” randomized models.
Auxiliary information is frequently used to improve the accuracy of estimators when estimating unknown population parameters. In this paper, we propose a new difference-cum-exponential type estimator for finite mean using auxiliary in simple random sampling. The expressions bias and squared error proposed are obtained under first order approximation. It shown theoretically, that always more efficient than sample mean, ratio, product, regression several other existing considered here. An...
This study tested whether days on campus, financial access through a meal plan, and health consciousness were associated with number of meals that college students obtained from fast food restaurants.In April 2013, all currently enrolled in plan invited to participate an online survey (N = 1,246). Students asked report the total eaten past week where they them.Negative binomial regression was used, it found restaurants positively negatively consciousness. An association between campus not...
Social Desirability Bias (SDB) often leads to low response rate or worse, untruthful responding during face-to-face surveys involving sensitive questions. Randomized Response Technique (RRT) is used circumvent SDB by allowing respondents provide a scrambled response. However, if do not trust the RRT model, significant bias can still be introduced in estimates. Yet, none of quantitative models currently account for respondents' lack trust. We propose an Optional Enhanced Trust (OET) model...