Investigation of Parametric, Non-Parametric and Semiparametric Methods in Regression Analysis
Regression analysis is known as statistical methods applied to model and analyze the relationship between variables. Regression method can be examined as parametric, non-parametric and semiparametric regression methods.The parametric regression method assumes that the dependent variable is in a line...
Saved in:
Main Authors: | Esra Yavuz, Mustafa Şahin |
---|---|
Format: | Article |
Language: | English |
Published: |
Sakarya University
2022-12-01
|
Series: | Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi |
Subjects: | |
Online Access: | https://dergipark.org.tr/tr/download/article-file/2551789 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Hybrid Learning Model for intrusion detection system: A combination of parametric and non-parametric classifiers
by: C. Rajathi, et al.
Published: (2025-01-01) -
Parametric and Non-Parametric Measures to Identify Stable and Adaptable Cotton (Gossypium Hirsutum L.) Genotypes
by: Fiseha Baraki, et al.
Published: (2024-12-01) -
Pspatreg: R Package for Semiparametric Spatial Autoregressive Models
by: Román Mínguez, et al.
Published: (2024-11-01) -
A regression-based model for parametric cost estimation of industrial steel structures
by: Adel Alshibani, et al.
Published: (2024-12-01) -
Survival function of a power transformer and a switch by means of non-parametric estimators
by: Pablo Aparicio Ruiz, et al.
Published: (2013-07-01)