封面图片

Cluster-Based Estimators For Multiple And Multivariate Linear Regression Models

Dalam bidang pemodelan regresi linear, regresi kuasa dua terkecil (LS) klasik adalah mudah dipengaruhi oleh titik terpencil manakala penganggar regresi rendah-kerosakan seperti regresi M dan regresi pengaruh terbatas mampu menahan pengaruh peratusan kecil titik terpencil. Penganggar tinggi-kerosa...

Saved in:

书目详细资料
主要作者:	Alih, Ekele
格式:	Thesis
语言:	English
出版:	2015
主题:	QA1 Mathematics (General)
在线阅读:	http://eprints.usm.my/32288/1/EKELE_ALIH.pdf http://eprints.usm.my/32288/
标签:	添加标签没有标签, 成为第一个标记此记录!

相似书籍

Utilising multiple linear regression (mlr) technique in multivariate statistical process monitoring (mspm) system
由: Mohd Farid, Mohd Na’aim
出版: (2014)

Estimating tree crown model with multiple regression
由: Chang, Chung Weng
出版: (2008)

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

Comparison between fuzzy bootstrap weighted multiple linear regression and multiple linear regression: a case study for oral cancer modelling
由: Mohd Ibrahim, Mohamad Shafiq, et al.
出版: (2018)

Standard errors estimation in the presence of high leverage point and heteroscedastic errors in multiple linear regression
由: Adnan, Robiah, et al.
出版: (2014)

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

M-tests for multivariate regression model
由: Yunus, Rossita Mohamad, et al.
出版: (2011)

The performance of clustering approach with robust mm-estimator for multiple outlier detection in linear regression
由: Mohd. Azmi, Nurulhuda Firdaus, et al.
出版: (2006)

Detection of multiple outliners in linear regression using nonparametric methods
由: Adnan, Robiah
出版: (2004)

Multiple linear regression and neural network for electric load forecasting
由: Kamisan, Nur Arina Bazilah
出版: (2017)

JMASM 46: Algorithm for comparison of robust regression methods in multiple linear regression by weighting least Square Regression
由: Mohd Ibrahim, Mohamad Shafiq, et al.
出版: (2017)

A hybrid of multiple linear regression clustering model with support vector machine for colorectal cancer tumor size prediction
由: Shafi, Muhammad Ammar, et al.
出版: (2019)

New approaches in estimating linear regression model parameters in the presence of multicollinearity and outliers
由: Al-Mash, Mohammad Sabry Abo
出版: (2017)

Load forecasting using combination model of multiple linear regression with neural network for Malaysian City
由: Kamisan, Nur Arina Bazilah, et al.
出版: (2018)

Load forecasting using combination model of multiple linear regression with neural network for Malaysian City
由: Kamisan, Nur Arina Bazilah, et al.
出版: (2018)

JMASM39: Algorithm for combining robust and bootstrap in multiple linear model regression
由: Wan Ahmad, Wan Muhamad Amir, et al.
出版: (2016)

Forecasting gold prices using multiple linear regression method
由: Ismail, Zuhaimy, et al.
出版: (2009)

Comparing least-squares and goal programming estimates of linear regression parameter.
由: Ahmad, Maizah Hura, et al.
出版: (2005)

Modelling stock market exchange by autoregressive integrated moving average, multiple linear regression and neural network
由: Firdaus, Mohamad, et al.
出版: (2022)

Modelling stock market exchange by autoregressive integrated moving average, multiple linear regression and neural network
由: Mohamad Firdaus, Mohamad Firdaus, et al.
出版: (2022)

Exploring course assessment: developing a predictive model for student performance using multiple linear regression
由: Bahrom, Suhaila
出版: (2024)

Non-linear regression model
由: Wan Ahmad, Wan Muhamad Amir, et al.
出版: (2023)

A clustering approach to detect multiple outliers in linear functional relationship model for circular data
由: Mokhtar, Nurkhairany Amyra, et al.
出版: (2018)

Uncertain stochastic ridge estimation in partially linear regression models with elliptically distributed errors
由: Roozbeh, Mahdi, et al.
出版: (2020)

Comparative study of clustering-based outliers detection methods in circular-circular regression model
由: Satari, Siti Zanariah, et al.
出版: (2021)

Evaluation of groundwater quality using linear regression model
由: Khan, Mohammad Muqtada Ali, et al.
出版: (2012)

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

Optimized non-linear multivariable grey model for carbon dioxide emissions in Malaysia
由: Mustaffa Sulaiman, A. S., et al.
出版: (2021)

The performance of leverage based near neighbour-robust weight least squares in multiple linear regression in the presence of heteroscedastic errors and outlier
由: Khoo, Li Peng, et al.
出版: (2015)

VAR and GSTAR-BASED feature selection in support vector regression for multivariate spatio-temporal forecasting
由: Prastyo, D. D., et al.
出版: (2019)

Review on circular-linear regression models
由: Hanin Hazwani, Mohammad, et al.
出版: (2021)

Estimation of Trade Balance Using Multiple Linear Regression Model
由: Sarimah Omar Gan, et al.

Comparative study of clustering-based outliers detection methods in circularcircular regression model
由: Siti Zanariah, Satari, et al.
出版: (2021)

Identifying multiple outliers in linear regression : Robust fit and clustering approach
由: Adnan, Robiah, et al.
出版: (2001)

K-means clustering analysis and multiple linear regression model on household income in Malaysia
由: Gan Pei Yee, Gan Pei Yee, et al.
出版: (2023)

K-means clustering analysis and multiple linear regression model on household income in Malaysia
由: Gan Pei Yee, Gan Pei Yee, et al.
出版: (2023)

K-means clustering analysis and multiple linear regression model on household income in Malaysia
由: Gan Pei Yee, Gan Pei Yee, et al.
出版: (2023)

K-means clustering analysis and multiple linear regression model on household income in Malaysia
由: Gan Pei Yee, Gan Pei Yee, et al.
出版: (2023)

K-means clustering analysis and multiple linear regression model on household income in Malaysia
由: Gan Pei Yee, Gan Pei Yee, et al.
出版: (2023)

Application of multiple linear regression model and long short-term memory with compartmental model to forecast dengue cases in Selangor, Malaysia based on climate variables
由: Lu, Xinyi, et al.
出版: (2025)