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A New Method of Hypothesis Test for Truncated Spline Nonparametric Regression Influenced by Spatial Heterogeneity and Application
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/j.fishres.2016.03.024openalex-snapshot
Modeling spatially-varying ecological relationships using geographically weighted generalized linear model: A simulation study based on longline seabird bycatch
inferredcites →https://doi.org/10.1016/j.scitotenv.2016.12.137openalex-snapshot
Spatial patterns and origins of heavy metals in Sheyang River catchment in Jiangsu, China based on geographically weighted regression
inferredcites →https://doi.org/10.1016/j.spasta.2017.03.002openalex-snapshot
Households in potential economic distress. A geographically weighted regression model for Italy, 2001–2011
inferredcites →https://doi.org/10.1057/palgrave.ivs.9500187openalex-snapshot
Exploring the spatio-temporal dynamics of geographical processes with geographically weighted regression and geovisual analytics
inferredcites →https://doi.org/10.1068/a3162openalex-snapshot
Statistical Tests for Spatial Nonstationarity Based on the Geographically Weighted Regression Model
inferredcites →https://doi.org/10.1068/a32117openalex-snapshot
Testing for Spatial Autocorrelation among the Residuals of the Geographically Weighted Regression
inferredcites →https://doi.org/10.1111/0022-4146.00146openalex-snapshot
Some Notes on Parametric Significance Tests for Geographically Weighted Regression
inferredcites →https://doi.org/10.1111/j.1467-8306.2005.00459.xopenalex-snapshot
The Distribution of Environmental Equity: Exploring Spatial Nonstationarity in Multivariate Models of Air Toxic Releases
inferredcites →https://doi.org/10.17654/ms101061183openalex-snapshot
GEOGRAPHICALLY WEIGHTED REGRESSION WITH SPLINE APPROACH
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4811193openalex-extracted
Selection of Optimal Knot Point and Best Geographic Weighted on Geographically Weighted Spline Nonparametric Regression Model Using Generalized Cross Validation and Kernel Function
inferred← citeshttps://doi.org/10.2139/ssrn.4902127openalex-extracted
Nonparametric Regression Estimator of Multivariable Truncated Spline for Categorical Data
inferred← citeshttps://doi.org/10.1016/j.mex.2022.101994openalex-snapshot
Determination of the best knot and bandwidth in geographically weighted truncated spline nonparametric regression using generalized cross validation
inferred← citeshttps://doi.org/10.1016/j.mex.2023.102379openalex-snapshot
Statistical modeling to analyze factors affecting the middle-income trap in Indonesia using panel data regression
inferred← citeshttps://doi.org/10.1016/j.mex.2023.102468openalex-snapshot
A method for parameter hypothesis testing in nonparametric regression with Fourier series approach
inferred← citeshttps://doi.org/10.1016/j.mex.2024.103084openalex-snapshot
Nonparametric regression estimation using multivariable truncated splines for binary response data
inferred← citeshttps://doi.org/10.1016/j.mex.2024.103098openalex-snapshot
Nonparametric spatio-temporal modeling: Contruction of a geographically and temporally weighted spline regression
inferred← citeshttps://doi.org/10.1063/5.0042870openalex-snapshot
The semiparametric regression curve estimation by using mixed truncated spline and fourier series model
inferred← citeshttps://doi.org/10.1063/5.0104009openalex-snapshot
Analysis of the causes of flooding in Samarinda City using spatial statistics: Geographically weighted regression
inferred← citeshttps://doi.org/10.1063/5.0104011openalex-snapshot
Application of nonparametric truncated spline regression on infant mortality rate in Kalimantan
inferred← citeshttps://doi.org/10.1063/5.0104167openalex-snapshot
The mixed estimator of truncated spline and local linear in multivariable nonparametric regression
inferred← citeshttps://doi.org/10.1063/5.0106527openalex-snapshot
The curve estimation of bi-response nonparametric regression using truncated spline on East Java SDGs achievement
inferred← citeshttps://doi.org/10.1063/5.0204859openalex-snapshot
Spline nonparametric regression with generalized maximum likelihood (GML) knot point selection method on tuberculosis cases
inferred← citeshttps://doi.org/10.1063/5.0206173openalex-snapshot
Poverty modelling with spline truncated, Fourier series, and mixed estimator geographically weighted nonparametric regression
inferred← citeshttps://doi.org/10.1063/5.0263328openalex-snapshot
Simultaneous hypothesis testing on geographically weighted nonparametric regression (A case study: Poverty data in Sulawesi Island)
inferred← citeshttps://doi.org/10.1080/03610926.2019.1710201openalex-snapshot
The regression curve estimation by using mixed smoothing spline and kernel (MsS-K) model
inferred← citeshttps://doi.org/10.1088/1742-6596/2123/1/012038openalex-snapshot
Application of Nonparametric Geographically Weighted Spline Regression Model for Spatial Mapping of Open Unemployment Rate in Kalimantan
inferred← citeshttps://doi.org/10.1155/2020/8353481openalex-snapshot
Geographically Weighted Multivariate Logistic Regression Model and Its Application
inferred← citeshttps://doi.org/10.2139/ssrn.4973980openalex-snapshot
Nonparametric Spatio-Temporal Modeling: Contruction of a Geographically and Temporally Weighted Spline Regression
inferred← citeshttps://doi.org/10.26714/jsunimus.11.1.2023.1-9openalex-snapshot
FOURIER SERIES APPLICATION FOR MODELING “CHOCOLATE” KEYWORD SEARCH TRENDS IN GOOGLE TRENDS DATA
inferred← citeshttps://doi.org/10.30598/barekengvol16iss4pp1167-1174openalex-snapshot
NONPARAMETRIK REGRESSION MODEL ESTIMATION WITH THE FOURIER SERIES THE FOURIER SERIES APPROACH AND ITS APPLICATION TO THE ACCUMULATIVE COVID-19 DATA IN INDONESIA
inferred← citeshttps://doi.org/10.30598/barekengvol17iss3pp1565-1574openalex-snapshot
TUBERCULOSIS CASE MODEL USING GCV AND UBR KNOT SELECTION METHODS IN TRUNCATED SPLINE NONPARAMETRIC REGRESSION
inferred← citeshttps://doi.org/10.30598/barekengvol17iss4pp2023-2032openalex-snapshot
MIXED ESTIMATORS OF TRUNCATED SPLINE-EPANECHNIKOV KERNEL ON NONPARAMETRIC REGRESSION AND ITS APPLICATIONS
inferred← citeshttps://doi.org/10.30598/barekengvol17iss4pp2071-2080openalex-snapshot
APPLICATION OF NONPARAMETRIC GEOGRAPHICALLY WEIGHTED REGRESSION METHOD ON OPEN UNEMPLOYMENT RATE DATA IN INDONESIA
inferred← citeshttps://doi.org/10.30598/barekengvol18iss1pp0245-0254openalex-snapshot
MODELING OPEN UNEMPLOYMENT RATE IN KALIMANTAN ISLAND USING NONPARAMETRIC REGRESSION WITH FOURIER SERIES ESTIMATOR
inferred← citeshttps://doi.org/10.30598/barekengvol19iss1pp271-280openalex-snapshot
KNOT OPTIMIZATION FOR BI-RESPONSE SPLINE NONPARAMETRIC REGRESSION WITH GENERALIZED CROSS-VALIDATION (GCV)
inferred← citeshttps://doi.org/10.30812/varian.v8i2.4303openalex-snapshot
Deterministic Economic Resilience Through Gross Regional Domestic Product Using Nonparametric Geographically Weighted Regression Spline Truncated
inferred← citeshttps://doi.org/10.35741/issn.0258-2724.57.3.10openalex-snapshot
DEVELOPING GEOGRAPHICALLY WEIGHTED PANEL REGRESSION MODEL FOR SPATIO-TEMPORAL ANALYSIS OF COVID-19 POSITIVE CASES IN KALIMANTAN, INDONESIA
inferred← citeshttps://doi.org/10.36456/jstat.vol14.no2.a4470openalex-snapshot
Geographically Weighted Spline Nonparametric Regression dengan Fungsi Pembobot Bisquare dan Gaussian Pada Tingkat Pengangguran Terbuka Di Pulau Kalimantan
inferred← citeshttps://doi.org/10.5539/ijsp.v8n4p32openalex-snapshot
Simultaneous Hypothesis Testing of Multivariable Nonparametric Spline Regression in the GWR Model
inferred← citeshttps://doi.org/10.5539/mas.v13n10p112openalex-snapshot
Mapping and Analysis Factors of Affecting Productivity Tropical Rain Forests in East Kalimantan
inferred← citeshttps://doi.org/10.5539/mas.v13n11p103openalex-snapshot
Identification of Factors Affecting Food Productivity Improvement in Kalimantan Using Nonparametric Spatial Regression Method
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