 Simultaneous Hypothesis Testing of Multivariable Nonparametric Spline Regression in the GWR ModelSifriyani Sifriyani International Journal of Statistics and Probability, 2019, vol. 8, issue 4, 32-46 Abstract: In this research, studied multivariable nonparametric geographically weighted regression use truncated spline approach. The model is an expansion of nonparametric truncated spline regression that takes into account geographical or spatial factors. The purpose of this study was to find statistics test and distribution for the simultaneous hypothesis test. This study obtains the statistic test used the maximum likelihood ratio test (MLRT) method. Results of the research obtained statistics test based on the ratio between the maximum of the likelihood function under the set of H_0 and the maximum of the set likelihood function below the population with each have a spatial factor. Distribution of statistical tests has been proven to have a distribution of F. The modeling application used the percentage of the death of Dengue Hemorrhagic Fever (DHF) in 38 districts/cities in East Java Province. The modeling resulted in the determination coefficient of 80.7% and SSE value that is 0.0043. Keywords: nonparametric regression; truncated spline; geographically weighted regression; multivariable; simultaneous test (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ibn:ijspjl:v:8:y:2019:i:4:p:32 Access Statistics for this article More articles in International Journal of Statistics and Probability from Canadian Center of Science and Education Contact information at EDIRC. |
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