New approaches in estimating linear regression model parameters in the presence of multicollinearity and outliers

In multiple linear regression models, the ordinary least squares (OLS) method has been the most popular technique for estimating parameters of model due to its optimal properties and ease of calculation. OLS estimator may fail when the assumption of independence is violated. This assumption can be v...

وصف كامل

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Al-Mash, Mohammad Sabry Abo
التنسيق:	أطروحة
اللغة:	الإنجليزية
منشور في:	2017
الموضوعات:	QA Mathematics
الوصول للمادة أونلاين:	http://eprints.utm.my/78208/1/MohammadSabryAboMFS2017.pdf

مواد مشابهة

Linear regression for data having multicollinearity, heteroscedasticity and outliers
حسب: Rasheed, Bello AbdulKadiri
منشور في: (2017)

Robust statistical procedures for multiple linear regression model in the presence of multicollinearity and outliers
حسب: Hendi, Hasan Talib Hendi.
منشور في: (2023)

Robust techniques for linear regression with multicollinearity and outliers
حسب: Mohammed, Mohammed Abdulhussein
منشور في: (2016)

Robust diagnostic and estimation for binary logistic regression model in the presence of multicollinearity and high leverage points
حسب: Ariffin @ Mat Zin, Syaiba Balqish
منشور في: (2018)

Robust Diagnostics and Estimation in Heteroscedastic Regression Model in the Presence of Outliers
حسب: Rana, Md. Sohel
منشور في: (2010)

Hybrid Model In Machine Learning With Robust Regression For Handling Multicollinearity Outlier In Big Data And Its Application To Agriculture
حسب: ., Mukhtar
منشور في: (2023)

Robust estimation and detection of outliers in simultaneous regression model
حسب: Mahdi, Orooba Mohsin
منشور في: (2016)

Comparison of parameter estimation methods when multicollinearity and outlier exists / Aida Nurasikin Jamil ...[et al.]
حسب: Jamil, Aida Nurasikin, وآخرون
منشور في: (2019)

Robust variable selection methods for large- scale data in the presence of multicollinearity, autocorrelated errors and outliers
حسب: Uraibi, Hassan S.
منشور في: (2016)

Robust Estimation Methods and Robust Multicollinearity Diagnostics for Multiple Regression Model in the Presence of High Leverage Collinearity-Influential Observations
حسب: Bagheri, Arezoo
منشور في: (2011)

Support vector machine and its applications for linear and nonlinear regression in the presence of outliers of high dimensional data
حسب: Sleabi, Waleed Dhhan
منشور في: (2016)

Parameter estimation and outlier detection for some types of circular model
حسب: Siti Zanariah, Satari
منشور في: (2015)

Identifying multiple outliers in linear regression using robust fit, clustering and inter-outer fences
حسب: Adnan, Robiah
منشور في: (2001)

Modified method for removing multicollinearity problem in multiple regression model
حسب: Yap, Sue Jinq
منشور في: (2014)

Robust Random Regression Imputation method for missing data in the presence of outliers
حسب: John, Ahamefule Happy
منشور في: (2013)

An efficient clustering algorithm in the presence on outlier and doubtful data
حسب: Md. Jedi, Muhamad Alias
منشور في: (2015)

Cluster-Based Estimators For Multiple And Multivariate Linear Regression Models
حسب: Alih, Ekele
منشور في: (2015)

Outlier Detections and Robust Estimation Methods for Nonlinear Regression Model Having Autocorrelated and Heteroscedastic Errors
حسب: Riazoshams, Hossein
منشور في: (2010)

Central double cross-validation for estimating parameters in regression models
حسب: Chye, Rou Shi
منشور في: (2016)

New Biased Estimators To Handle The Problem Of Multicollinearity [QA278.2. N577 2008 f rb].
حسب: Ng, Set Foong
منشور في: (2008)

Comparing three methods of handling multicollinearity using simulation approach
حسب: Adnan, Norliza
منشور في: (2006)

Robust diagnostics and parameter estimation in linear regression for high dimensional data
حسب: Abdul Wahab, Siti Zahariah
منشور في: (2023)

Weighted Maximum Median Likelihood Estimation For Parameters In Multiple Linear Regression Model
حسب: Mohamed Ramli, Norazan
منشور في: (2008)

Robust diagnostic and parameter estimation for multiple linear and panel data regression models
حسب: Sani, Muhammad
منشور في: (2018)

Robust diagnostics and estimation for dual response surface function with eteroscedastic errors using new optimization technique in the presence of outliers
حسب: Ab. Aziz, Nasuhar
منشور في: (2022)

Robust diagnostic and robust estimation methods for fixed effect panel data model in presence of high leverage points and multicollinearity
حسب: Ismaeel, Shelan Saied
منشور في: (2017)

Robust diagnostics and parameter estimation methods in linear and nonlinear regression based on nu support vector regression for high dimensional data
حسب: Rashid, Al-Dulaimi Abdullah Mohammed
منشور في: (2022)

Outliers And Structural Breaks Detection In Autoregressive Model By Indicator Saturation Approach
حسب: Mohammad Nasir, Muhammad Azim
منشور في: (2020)

Improved robust estimator and clustering procedures for multivariate outliers detection
حسب: Sharifah Sakinah, Syed Abd Mutalib
منشور في: (2023)

Robust detection measures and robust parameter estimation methods in circular univariate and simple circular regression model
حسب: Mahmood, Ehab Abdulsalam
منشور في: (2017)

Multiple linear regression and neural network for electric load forecasting
حسب: Kamisan, Nur Arina Bazilah
منشور في: (2017)

Robust control charts for change points detection in presence of outliers
حسب: Ng, Kooi Huat
منشور في: (2012)

A new split distance-based regression model for mixed-variables
حسب: Nor Hisham, Haron
منشور في: (2021)

Detection Of Outliers And Structural Breaks In Structural Time Series Model Using Indicator Saturation Approach
حسب: Rose, Farid Zamani Che
منشور في: (2023)

Estimation of potential evapotranspiration using multiple linear regression and particle swarm optimization
حسب: Ahmad, Nor Farah Atiqah
منشور في: (2022)

New Test Statistics To Assess The Goodness-Of-Fit Of Logistic Regression Models
حسب: Hussain, Jassim Nassir
منشور في: (2013)

Robust Estimation Methods And Outlier Detection In Mediation Models
حسب: Fitrianto, Anwar
منشور في: (2010)

Parameter estimation methods for non-stationary data using L-moments and TL-moments approaches
حسب: Mat Jan, Nur Amalina
منشور في: (2021)

Multiple Linear Regression Models For Estimating True Subsurface Resistivity From Apparent Resistivity Measurements
حسب: Bala, Muhammad Sabiu
منشور في: (2018)

Robust estimation technique and robust autocorrelation diagnostic for multiple Linear Regression Model with autocorrelated errors
حسب: Lim, Hock Ann
منشور في: (2014)