Quantile Regression Applications in Climate Change

Wang, Leigh; Xia, Mengying

doi:10.4018/978-1-7998-9220-5.ch147

Cited by 1 publication

(1 citation statement)

References 19 publications

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“…Current investigations on fractile regression and its applications reveal compelling studies such as those focused on extreme air pollution data [26], understanding heterogeneous effects of socio-demographic and economic factors on weight-for-height Z scores of children under 5 in Egypt [27], and the contribution of fractile regression in combating climate change [28], among many others.…”

Section: Fractile Regressionmentioning

confidence: 99%

Advanced Mathematical Approaches in Psycholinguistic Data Analysis: A Methodological Insight

Castro,

Leiva,

Lourenço-Gomes

et al. 2023

Fractal Fract

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In the evolving landscape of psycholinguistic research, this study addresses the inherent complexities of data through advanced analytical methodologies, including permutation tests, bootstrap confidence intervals, and fractile or quantile regression. The methodology and philosophy of our approach deeply resonate with fractal and fractional concepts. Responding to the skewed distributions of data, which are observed in metrics such as reading times, time-to-response, and time-to-submit, our analysis highlights the nuanced interplay between time-to-response and variables like lists, conditions, and plausibility. A particular focus is placed on the implausible sentence response times, showcasing the precision of our chosen methods. The study underscores the profound influence of individual variability, advocating for meticulous analytical rigor in handling intricate and complex datasets. Drawing inspiration from fractal and fractional mathematics, our findings emphasize the broader potential of sophisticated mathematical tools in contemporary research, setting a benchmark for future investigations in psycholinguistics and related disciplines.

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Section: Fractile Regressionmentioning

confidence: 99%