Results 11 to 20 of about 22,182 (267)
Preprocessing of Heteroscedastic Medical Images
IEEE Access, 2018 Tissue intensity distributions in medical images can have varying degrees of statistical dispersion, which is referred to as heteroscedasticity. This can influence image contrast and gradients, but can also negatively affect the performance of general-purpose distance metrics.
Joris, Philip +6 more
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VOLATILITAS HARGA BAWANG DI JAWA BARAT DENGAN METODE ARCH/GARCH
Jurnal Lebesgue, 2022 Food commodities such as shallots and garlic are still a concern for the Indonesian people, this is because prices are not fixed and fluctuate for each period. It is these price fluctuations that cause high price volatility.
Ranti Pramushinta Kurnia +1 more
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Assessing Potential Heteroscedasticity in Psychological Data: A GAMLSS approach [PDF]
Tutorials in Quantitative Methods for Psychology, 2023 This paper provides a tutorial for analyzing psychological research data with GAMLSS, an R package that uses the family of generalized additive models for location, scale, and shape.
Correa, Juan C. +4 more
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On Robust Tests for Heteroscedasticity [PDF]
The Annals of Statistics, 1979 Abstract : We extend Bickel's (1978) tests for heteroscedasticity to include wider classes of test statistics and fitting methods. The test statistics include those based on Huber's function, while the fitting techniques include Huber's Proposal 2 (1977) for robust regression. (Author)
Carroll, Raymond J., Ruppert, David
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Modeling stand biomass for Moso bamboo forests in Eastern China
Frontiers in Plant Science, 2023 Stand biomass models can be used as basic decision-making tools in forest management planning. The Moso bamboo (Phyllostachys pubescens) forest, a major forest system in tropical and subtropical regions, represents a substantial carbon sink, slowing down
Xiao Zhou +11 more
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Applied Sciences, 2022 Safety stock (SS) is an appropriate tactic to deal with demand and supply uncertainty with the aim of preventing inventory shortages. In the literature, previous work on SS estimation assumes that the forecast error distributions (FED) are independent ...
Mouna Derbel +2 more
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An application of directional quantiles to economic data with a multivariate response
Serbian Journal of Management, 2020 Quantile regression represents a popular and useful methodology for modeling quantiles of a response variable based on one or more independent variables.
Jan Kalina
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Shui kexue jinzhan, 2023 Revealing the fluctuating characteristics of non-stationary runoff series under changing environments can improve the precision of runoff prediction and support water-related project planning.
Li ZHANG +5 more
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Statistics of Heteroscedastic Extremes [PDF]
SSRN Electronic Journal, 2014 SummaryWe extend classical extreme value theory to non-identically distributed observations. When the tails of the distribution are proportional much of extreme value statistics remains valid. The proportionality function for the tails can be estimated non-parametrically along with the (common) extreme value index.
Einmahl, J.H.J. +2 more
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Investigation of heteroscedasticity in polygenic risk scores across 15 quantitative traits
Frontiers in Genetics, 2023 The polygenic risk score (PRS) could be used to stratify individuals with high risk of diseases and predict complex trait of individual in a population.
Hyein Jung +9 more
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