Results 51 to 60 of about 419,209 (294)
Pemodelan Regresi Spline Truncated Untuk Data Longitudinal ( Studi Kasus : Harga Saham Bulanan Pada Kelompok Saham Perbankan Periode Januari 2009 – Desember 2015 ) [PDF]
, 2016 Stocks are securities that can be bought and sold by individuals or institutions as a sign of ownership of any person nor bussines entity within a company. From the value of market capitalization, the stock is divided into 3 groups: large capitalization (
Fadhilah, K. N. (Khoirunnisa) +2 more
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Optimal designs for multivariable spline models [PDF]
, 2009 In this paper, we investigate optimal designs for multivariate additive spline regressionmodels. We assume that the knot locations are unknown, so must be estimated from thedata.
David C. Woods +5 more
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Mathematics, 2022 Geographically Weighted Regression (GWR) is the development of multiple linear regression models used in spatial data. The assumption of spatial heterogeneity results in each location having different characteristics and allows the relationships between ...
Niansheng Tang +4 more
semanticscholar +1 more source
Media Statistika, 2022 The response variable of the regression analysis has a linear relationship with one of the variable predictors, however the unknown relationship pattern with the other predictor variables.
Hesikumalasari Hesikumalasari +3 more
doaj +1 more source
Smoothing with Curvature Constraints based on Boosting Techniques [PDF]
, 2006 In many applications it is known that the underlying smooth function is constrained to have a specific form. In the present paper, we propose an estimation method based on the regression spline approach, which allows to include concavity or convexity ...
Leitenstorfer, Florian, Tutz, Gerhard
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Nonparametric Regression Modeling Based on Spline Truncated Estimator on Simulation Data
Jurnal Matematika Statistika dan Komputasi, 2022 Regression analysis is one of the statistical analysis used to estimate the pattern of the relationship between predictor variables and response variables .
Ghony N Nurhuda +2 more
semanticscholar +1 more source
Barekeng, 2023 The nonparametric regression approach is used when the shape of the regression curve is not known. The advantage of nonparametric regression is that it has a high degree of flexibility.
Sitti Anggraeni +2 more
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Jurnal Gaussian, 2022 Stocks are one of the most popular financial instruments traded in the capital market. One of stock prices fluctuate up and down due to the influence of several factors, one of which is inflation.
Nurina Salma Alfiyyah +2 more
semanticscholar +1 more source
MethodsX, 2023 This study proposes the development of nonparametric regression for data containing spatial heterogeneity with local parameter estimates for each observation location.
Robiansyah Putra +2 more
doaj +1 more source
Generalized structured additive regression based on Bayesian P-splines [PDF]
, 2003 Generalized additive models (GAM) for modelling nonlinear effects of continuous covariates are now well established tools for the applied statistician. In this paper we develop Bayesian GAM's and extensions to generalized structured additive regression ...
Brezger, Andreas, Lang, S.
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