Results 11 to 20 of about 125,360 (256)

MODELING OF LOCAL POLYNOMIAL KERNEL NONPARAMETRIC REGRESSION FOR COVID DAILY CASES IN SEMARANG CITY, INDONESIA

open access: yesMedia Statistika, 2022
Coronavirus disease 2019 (COVID-19) is an infectious disease caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) which was recently discovered.
Tiani Wahyu Utami, Aisyah Lahdji
doaj   +1 more source

Smoothing and Differentiation of Kinematic Data Using Functional Data Analysis Approach: An Application of Automatic and Subjective Methods

open access: yesApplied Sciences, 2020
Smoothing is one of the fundamental procedures in functional data analysis (FDA). The smoothing parameter λ influences data smoothness and fitting, which is governed by selecting automatic methods, namely, cross-validation (CV) and generalized ...
Muhammad Athif Mat Zin   +3 more
doaj   +1 more source

Relationship between Engraulis japonicus Resources and Environmental Factors Based on Multi-Model Comparison in Offshore Waters of Southern Zhejiang, China

open access: yesJournal of Marine Science and Engineering, 2022
In order to accurately explore the relationship between the density of Engraulis japonicus and environmental factors, five types of models, including Tweedie-Generalized Additive Model (GAM), two-stage GAM, Ad hoc-GAM, and Generalized Additive Mixing ...
Wen Ma   +5 more
doaj   +1 more source

Nonparametric Spline Truncated Regression with Knot Point Selection Method Generalized Cross Validation and Unbiased Risk

open access: yesJTAM (Jurnal Teori dan Aplikasi Matematika), 2023
Nonparametric regression approaches are used when the shape of the regression curve between the response variable and the predictor variable is assumed to be unknown. Nonparametric excess regression has high flexibility.
Tutik Handayani   +2 more
doaj   +1 more source

Goodness of Fit Test of an Autocorrelated Time Series Cubic Smoothing Spline Model

open access: yesJournal of Nigerian Society of Physical Sciences, 2021
We investigated the finite properties as well as the goodness of fit test for the cubic smoothing spline selection methods like the Generalized Maximum Likelihood (GML), Generalized Cross-Validation (GCV) and Mallow CP criterion (MCP) estimators for time-
Samuel Olorunfemi Adams   +2 more
doaj   +1 more source

Subsample Ridge Ensembles: Equivalences and Generalized Cross-Validation

open access: yesCoRR, 2023
47 pages, 11 figures; this version fixes minor typos.
Jin-Hong Du   +2 more
openaire   +3 more sources

Use of Two Smoothing Parameters in Penalized Spline Estimator for Bi-variate Predictor Non-parametric Regression Model [PDF]

open access: yesJournal of Sciences, Islamic Republic of Iran, 2020
Penalized spline criteria involve the function of goodness of fit and penalty, which in the penalty function contains smoothing parameters. It serves to control the smoothness of the curve that works simultaneously with point knots and spline degree. The
Anna Islamiyati
doaj   +1 more source

Predicted Residual Error Sum of Squares of Mixed Models: An Application for Genomic Prediction

open access: yesG3: Genes, Genomes, Genetics, 2017
Genomic prediction is a statistical method to predict phenotypes of polygenic traits using high-throughput genomic data. Most diseases and behaviors in humans and animals are polygenic traits. The majority of agronomic traits in crops are also polygenic.
Shizhong Xu
doaj   +1 more source

Asymptotic optimality of generalized C, cross-validation, and generalized cross-validation in regression with heteroskedastic errors [PDF]

open access: yesJournal of Econometrics, 1991
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Choice of Smoothing Parameter for Kernel Type Ridge Estimators in Semiparametric Regression Models

open access: yesRevstat Statistical Journal, 2021
This paper concerns kernel-type ridge estimators of parameters in a semiparametric model. These estimators are a generalization of the well-known Speckman’s approach based on kernel smoothing method. The most important factor in achieving this smoothing
Ersin Yilmaz   +2 more
doaj   +1 more source

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