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A boundary corrected non-parametric regression estimator for finite population total

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dc.contributor.author Langat, Reuben C
dc.contributor.author Odhiambo, Romanus O
dc.contributor.author Orwa, George O
dc.date.accessioned 2022-01-25T12:10:42Z
dc.date.available 2022-01-25T12:10:42Z
dc.date.issued 2019-04-27
dc.identifier.citation Cheruiyot, L. R., Otieno, O. R., & Orwa, G. O. (2019). A Boundary Corrected Non-Parametric Regression Estimator for Finite Population Total. AL JOUR, 8(3), 83. en_US
dc.identifier.uri 10.5539/ijsp.v8n3p83
dc.identifier.uri http://ir-library.kabianga.ac.ke/handle/123456789/270
dc.description International journal of statistics and probability en_US
dc.description.abstract This study explores the estimation of finite population total. For many years design-based approach dominated the scene in statistical inference in sample surveys. The scenario has since changed with emergence of the other approaches (Model-Based, Model-Assisted and the Randomization-Assisted), which have proved to rival the conventional approach. This paper focuses on a model based approach. Within this framework a nonparametric regression estimator for finite population total is developed. The nonparametric technique has been found from previous studies to be advantageous than its parametric counterpart in terms of robustness and flexibility. Kernel smoother has been used in construction of the estimator. The challenge of the boundary problem encountered with the Nadaraya-Watson estimator has been addressed by modifying it using reflection technique. The performance of the proposed estimator has been compared to the design-based Horvitz Thompson estimator and the model –based nonparametric regression estimator proposed by (Dorfman, 1992) and the ratio estimator using simulated data. en_US
dc.language.iso en en_US
dc.publisher Canadian Center of Science and Education en_US
dc.subject Auxiliary information en_US
dc.subject Reflection technique en_US
dc.subject Kernel smoothers en_US
dc.subject Nonparametric regression estimator en_US
dc.subject Boundary correction en_US
dc.title A boundary corrected non-parametric regression estimator for finite population total en_US
dc.type Article en_US


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