A. Danbaba

On The Efficiency of Almost Unbiased Mean Imputation When Population Mean of Auxiliary Variable is UnknownOn The Efficiency of Almost Unbiased Mean Imputation When Population Mean of Auxiliary Variable is Unknown

A. Audu, A. Danbaba, S. K. Ahmad, N. Musa, A. Shehu, A. M. Ndatsu & A. O. Joseph · Asian Journal of Probability and Statistics · 2021

Human-assisted surveys, such as medical and social science surveys, are frequently plagued by non-response or missing observations. Several authors have devised different imputation algorithms to account for missing observations during analyses. Nonetheless, several of these impu...

Open access Research Article 10.9734/ajpas/2021/v15i430377

Modified Classes of Regression-Type Estimators of Population Mean in the Presences of Auxiliary Attribute

A. Audu, S. A. Abdulazeez, A. Danbaba, Y. M. Ahijjo, A. Gidado & M. A. Yunusa · Asian Research Journal of Mathematics · 2022

The use of relevant information from auxiliary variable at the estimation stage and design stage to obtain reliable and efficient estimate is a common practice is a sample survey. But situations arise when the available auxiliary information are attribute in nature. There are som...

Open access Research Article 10.9734/arjom/2022/v18i130355