Weighted kernel regression in solving small sample problems for regression framework and its variants /

Weighted kernel regression in solving small sample problems for regression framework and its variants /

Thesis (Ph.D (Kejuruteraan Elektrik)) - Universiti Teknologi Malaysia, 2014

Bibliographic Details
Main Authors:	Mohd. Ibrahim Shapiai @ Abd. Razak, 1983-, Rubiyah Yusof, Zuwairie Ibrahim, supervisor, Fakulti Kejuruteraan Elektrik
Format:
Language:	eng
Published:	2014
Subjects:	Regression analysis

Similar Items

Weighted kernel regression in solving small sample problems for regression framework and its variants /
by: Mohd. Ibrahim Shapiai @ Abd. Razak, 1983-, author
Published: (2014)

Application of weight kernel regression to solve an automobile small data set /
by: Hamizah Majidi, 1988-, et al.
Published: (2011)

Application of weight kernel regression to solve an automobile small data set [electronic resource] /
by: Hamizah Majidi, 1988-, et al.
Published: (2011)

A Complete Investigation of Using Weighted Kernel Regression for The Case of Small Sample Problem With Noise
by: Zuwairie, Ibrahim, et al.
Published: (2015)

Enhanced weighted kernel regression with prior knowledge using robot manipulator problem as a case study
by: Mohd Ibrahim, Shapiai, et al.
Published: (2012)

Sample Feature Kernel Matrix-based Sparse Bilinear Regression
by: SHAO Zheng-yi, CHEN Xiu-hong
Published: (2021-10-01)

Weighted Kernel Ridge Regression to Improve Genomic Prediction
by: Chenguang Diao, et al.
Published: (2025-02-01)

Recipe generation of under fill process based on improved kernel regression and particle swarm optimization /
by: Mohd. Hafiz Othman, 1984-, et al.
Published: (2012)

Kernel regression on matrix patterns
by: Povilas Daniušis, et al.
Published: (2008-12-01)

The Cumulative and Single Effect of 12 Aldehydes Concentrations on Cardiovascular Diseases: An Analysis Based on Bayesian Kernel Machine Regression and Weighted Logistic Regression
by: Yuemei Fang, et al.
Published: (2024-06-01)

Aggregate Kernel Inverse Regression Estimation
by: Wenjuan Li, et al.
Published: (2023-06-01)

Transformation and weighting in regression /
by: 282079 Carroll, Raymond J., et al.
Published: (1988)

Incorporating the neutrosophic framework into kernel regression for predictive mean estimation
by: Muhammad Bilal Anwar, et al.
Published: (2024-02-01)

Product Design Time Forecasting by Kernel-Based Regression with Gaussian Distribution Weights
by: Zhi-Gen Shang, et al.
Published: (2016-06-01)

A Comparison of Bandwidth and Kernel Function Selection in Geographically Weighted Regression for House Valuation
by: Joseph Awoamim Yacim, et al.
Published: (2019-01-01)

An Ensemble of Kernel Ridge Regression for Multi-class Classification
by: Suganthan, Ponnuthurai Nagaratnam, et al.
Published: (2018)

Multilinear Kernel Regression and Imputation via Manifold Learning
by: Duc Thien Nguyen, et al.
Published: (2024-01-01)

Geographically Weighted Panel Regression Modelling of Dengue Hemorrhagic Fever Data Using Exponential Kernel Function
by: Risti Raihani, et al.
Published: (2023-10-01)

Heterogeneous Treatment Effect with Trained Kernels of the Nadaraya–Watson Regression
by: Andrei Konstantinov, et al.
Published: (2023-04-01)

Implementation of Gamma Regression and Gamma Geographically Weighted Regression on Case Poverty in Bengkulu Province
by: Ilham Alifa Azagi, et al.
Published: (2024-07-01)

An Upper Bound of the Bias of Nadaraya-Watson Kernel Regression under Lipschitz Assumptions
by: Samuele Tosatto, et al.
Published: (2020-12-01)

Ridge Fuzzy Regression Modelling for Solving Multicollinearity
by: Hyoshin Kim, et al.
Published: (2020-09-01)

Kernel Function in Local Linear Peters-Belson Regression
by: Mohammad Bolbolian Ghalibaf

Multiple Kernel Clustering via Local Regression Integration
by: DU Liang, REN Xin, ZHANG Hai-ying, ZHOU Peng
Published: (2021-08-01)

Geographically Weighted Regression (GWR) Modelling with Weighted Fixed Gaussian Kernel and Queen Contiguity for Dengue Fever Case Data
by: Grissila Yustisia
Published: (2017-11-01)

A Suboptimal Approach to Antenna Design Problems With Kernel Regression
by: Sangwoo Lee, et al.
Published: (2019-01-01)

Modified Quantile Regression for Modeling the Low Birth Weight
by: Ferra Yanuar, et al.
Published: (2022-06-01)

Utilizing support vector and kernel ridge regression methods in spectral reconstruction
by: Ida Rezaei, et al.
Published: (2023-05-01)

Studies of different kernel functions in nuclear mass predictions with kernel ridge regression
by: X. H. Wu
Published: (2023-02-01)

A Weighted Bayesian Kernel Machine Regression Approach for Predicting the Growth of Indoor-Cultured Abalone
by: Seung-Won Seo, et al.
Published: (2025-01-01)

Outlier Detection Based on Local Kernel Regression for Instance Selection
by: Qinmu Peng, et al.
Published: (2014-08-01)

Random kernel k-nearest neighbors regression
by: Patchanok Srisuradetchai, et al.
Published: (2024-07-01)

Toward Budgeted Online Kernel Ridge Regression on Streaming Data
by: Fuhao Gao, et al.
Published: (2019-01-01)

Regression tree analysis for predicting slaughter weight in broilers
by: Erkut Akkartal, et al.
Published: (2010-01-01)

Corrigendum: Modified quantile regression for modeling the low birth weight
by: Ferra Yanuar, et al.
Published: (2023-07-01)

Re-sampling Techniques in Count Data Regression Models
by: Zakariya Y. Algamal
Published: (2012-12-01)

Non‐linear phylogenetic regression using regularised kernels
by: Ulises Rosas‐Puchuri, et al.
Published: (2024-09-01)

Analysis of support vector regression kernels for energy storage efficiency prediction
by: Desmond Eseoghene Ighravwe, et al.
Published: (2020-12-01)

Interpolation and regression models for the chemical engineer : solving numerical problems /
by: Buzzi-Ferraris, G. (Guido)
Published: (2010)

Universal Local Linear Kernel Estimators in Nonparametric Regression
by: Yuliana Linke, et al.
Published: (2022-07-01)