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Imputation methods of missing data for estimating the population mean using simple random sampling with known correlation coefficient

Al-Omari, Amer; Bouza, Carlos; Herrera, Carmelo - In: Quality & Quantity: International Journal of Methodology 47 (2013) 1, pp. 353-365

This paper considers three ratio estimators of the population mean using known correlation coefficient between the study and auxiliary variables in simple random sample when some sample observations are missing. The suggested estimators are compared with the estimators of Singh and Horn (Metrika...

Persistent link: https://www.econbiz.de/10010992988

An Approximate Test for Homogeneity of Correlated Correlation Coefficients

Raghunathan, Trivellore - In: Quality & Quantity: International Journal of Methodology 37 (2003) 1, pp. 99-110

Persistent link: https://www.econbiz.de/10009391167

Taking ‘Don’t Knows’ as Valid Responses: A Multiple Complete Random Imputation of Missing Data

Kroh, Martin - In: Quality & Quantity: International Journal of Methodology 40 (2006) 2, pp. 225-244

Persistent link: https://www.econbiz.de/10009391172

A Predictive Estimator of the Mean with Missing Data

Rueda, M.; González, S.; Arcos, A. - In: Quality & Quantity: International Journal of Methodology 41 (2007) 2, pp. 201-217

Persistent link: https://www.econbiz.de/10009391209

Mixture Models of Missing Data

Rudas, Tamás - In: Quality & Quantity: International Journal of Methodology 39 (2005) 1, pp. 19-36

Persistent link: https://www.econbiz.de/10009391390

Handling Missing Data by Re-approaching Non-respondents

Huisman, Mark; Krol, Boudien; Sonderen, Eric Van - In: Quality & Quantity: International Journal of Methodology 32 (1998) 1, pp. 77-91

Persistent link: https://www.econbiz.de/10009396095

Imputation of Missing Item Responses: Some Simple Techniques

Huisman, Mark - In: Quality & Quantity: International Journal of Methodology 34 (2000) 4, pp. 331-351

Persistent link: https://www.econbiz.de/10009396272

Bayesian data augmentation methods for the synthesis of qualitative and quantitative research findings

Crandell, Jamie; Voils, Corrine; Chang, YunKyung; … - In: Quality & Quantity: International Journal of Methodology 45 (2011) 3, pp. 653-669

Persistent link: https://www.econbiz.de/10009396286

A comparison of multiple imputation with EM algorithm and MCMC method for quality of life missing data

Lin, Ting - In: Quality & Quantity: International Journal of Methodology 44 (2010) 2, pp. 277-287

Persistent link: https://www.econbiz.de/10009396803

Utilising Recent Advancements in Techniques for the Analysis of Incomplete Multivariate Data to Improve the Data Quality Management of Current Academic Research

Fogarty, David; Blake, John - In: Quality & Quantity: International Journal of Methodology 36 (2002) 3, pp. 277-289

Persistent link: https://www.econbiz.de/10009396890