Results 41 to 50 of about 1,351,383 (295)

Development of Ramsey RESET to Identify the Polynomials Order of Smoothing Spline with Simulation Study

JTAM (Jurnal Teori dan Aplikasi Matematika)
Path  analysis is used to determine the effect of exogenous variables on endogenous variables. One of the assumptions in path analysis is the linearity assumption. The linearity assumption can be tested using Ramsey RESET.
Muhammad Rafi Hasan Nurdin, Adji Achmad Rinaldo Fernandes, Eni Sumarminingsih, Muhammad Ohid Ullah   +3 more
doaj   +1 more source

Precise Tensor Product Smoothing via Spectral Splines

Stats
Tensor product smoothers are frequently used to include interaction effects in multiple nonparametric regression models. Current implementations of tensor product smoothers either require using approximate penalties, such as those typically used in ...
Nathaniel E. Helwig
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 ...
Gerhard Tutz, Leitenstorfer, Florian, Tutz, Gerhard, Florian Leitenstorfer   +3 more
core   +1 more source

Development of Semiparametric Smoothing Spline Path Analysis on Cashless Society

Cauchy: Jurnal Matematika Murni dan Aplikasi
Path analysis requires assumptions to be met, particularly the linearity assumption, which can be tested using the Ramsey Regression Specification Error Test (RESET). Parametric path analysis is appropriate when all variable relationships are linear. For
Muhammad Rafi Hasan Nurdin, Muhammad Ohid Ullah, Adji Achmad Rinaldo Fernandes, Eni Sumarminingsih, Solimun Solimun   +4 more
doaj   +1 more source

Efficient estimation of smoothing spline with exact shape constraints

Statistical Theory and Related Fields, 2021
Smoothing spline is a popular method in non-parametric function estimation. For the analysis of data from real applications, specific shapes on the estimated function are often required to ensure the estimated function undeviating from the domain ...
Vincent Chan, Kam-Wah Tsui, Yanran Wei, Zhiyang Zhang, Xinwei Deng   +4 more
doaj   +1 more source

Current estimation of the derivative of a nonstationary process based on a recurrent smoothing spline

, 2016
A method of real-time reconstruction of the useful signal and its lower derivatives on the basis of a recurrent smoothing spline is presented. A calculation technique for a spline with the number of measurements at each segment greater than the number of
E. Kochegurova, Ekaterina Gorokhova
semanticscholar   +1 more source

Phase Diagrams and Piezoelectric Properties of Wurtzite Al1−x−yScxGdyN Heterostructural Alloys

Advanced Science, EarlyView.
This study demonstrates ferroelectricity and piezoelectric properties improvement of quaternary wurtzite Al1−x−yScxGdyN${\rm Al}_{1-x-y}{\rm Sc}_x{\rm Gd}_y{\rm N}$ films, guided by density functional theory calculations. Wurtzite Al1−x−yScxGdyN${\rm Al}_{1-x-y}{\rm Sc}_x{\rm Gd}_y{\rm N}$ films have a high optical bandgap, enhanced piezoelectric ...
Julia L. Martin, Cheng‐Wei Lee, Nate S.P. Bernstein, Thi Nguyen, Ande Bryan, Eli Cooper, John S. Mangum, Sage R. Bauers, Andriy Zakutayev, Keisuke Yazawa, Prashun Gorai, Rebecca W. Smaha   +11 more
wiley   +1 more source

Physics‐Constrained Constitutive Learning of Rate‐Limiting Timescales for Efficient Hydrogen‐Based Direct Reduction for Green Steel Making

Advanced Science, EarlyView.
A conversion‐resolved constitutive framework is developed for the hydrogen‐based direct reduction of iron oxide pellets. Effective reaction and transport timescales are inferred directly from measured trajectories and mapped against operating conditions, pellet architecture, and composition. The analysis reveals how late‐stage transport control emerges
Anurag Bajpai, Barak Ratzker, Pasquale Cavaliere, Dierk Raabe   +3 more
wiley   +1 more source

Nonparametric Smoothing Spline Approach in Examining Investor Interest Factors

JTAM (Jurnal Teori dan Aplikasi Matematika)
The nonparametric approach is an appropriate approach for patterns of relationships between predictor variables and response variables that are not or have not been known in form.
Yossy Maynaldi Pratama, Adji Achmad Rinaldo Fernandes, Ni Wayan Surya Wardhani, Rosita Hamdan   +3 more
doaj   +1 more source

Local and global asymptotic inference in smoothing spline models [PDF]

, 2012
This article studies local and global inference for smoothing splineestimation in a unified asymptotic framework. We first introduce anew technical tool called functional Bahadur representation, whichsignificantly generalizes the traditional Bahadur ...
Zuofeng Shang, Guang Cheng
semanticscholar   +1 more source