Testing independence and goodness-of-fit jointly for functional linear models
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DOI: 10.1007/s42952-020-00083-4
Abstract: A conventional regression model for functional data involves expressing a response variable in terms of the predictor function. Two assumptions, that (i) the predictor function and the error are independent and (ii) the relationship between… read more here.
Keywords: proposed test; independence goodness; goodness fit; testing independence ... See more keywords
Testing independence: count data case
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DOI: 10.1080/00949655.2024.2352557
Abstract: ABSTRACT This paper proposes several novel classes of independence tests specially designed for count data. The tests are based on the difference between joint and marginal probability generating functions and can be applied to count… read more here.
Keywords: independence count; testing independence; count; count data ... See more keywords
Testing independence based on Spearman’s footrule in high dimensions
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DOI: 10.1080/03610926.2024.2369313
Abstract: Abstract. Spearman’s footrule is a widely used tool to discover the relationship between two continuous random variables, mainly because of its robustness, natural interpretation, and simplicity of calculation. In this article, we propose a new… read more here.
Keywords: test; spearman footrule; independence based; testing independence ... See more keywords