On the Liu estimator in the beta and Kumaraswamy regression models: A comparative study

Communication in Statistics- Theory and Methods ◽

10.1080/03610926.2021.1900254 ◽

2021 ◽

pp. 1-26

Author(s):

Shima Pirmohammadi ◽

Hamid Bidram

Keyword(s):

Comparative Study ◽

Regression Models ◽

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Comparative study between Partial Least Squares and Rational function Ridge Regression models for the prediction of moisture content of woodchip samples using a handheld spectrophotometer

Journal of Chemometrics ◽

10.1002/cem.3337 ◽

2021 ◽

Author(s):

Manuela Mancini ◽

Veli‐Matti Taavitsainen ◽

Giuseppe Toscano

Keyword(s):

Moisture Content ◽

Comparative Study ◽

Least Squares ◽

Rational Function ◽

Partial Least Squares ◽

Ridge Regression ◽

Regression Models

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Balloon ascent prediction: Comparative study of analytical, fuzzy and regression models

Advances in Space Research ◽

10.1016/j.asr.2019.03.035 ◽

2019 ◽

Vol 64 (1) ◽

pp. 252-270 ◽

Author(s):

Kanika Garg ◽

M. Reza Emami

Keyword(s):

Comparative Study ◽

Regression Models

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Ensemble Regression Models for Software Development Effort Estimation: A Comparative Study

International Journal of Software Engineering & Applications ◽

10.5121/ijsea.2020.11305 ◽

2020 ◽

Vol 11 (3) ◽

pp. 71-86

Author(s):

Halcyon D P. Carvalho ◽

Marília N C. A. Lima ◽

Wylliams B Santos ◽

Roberta A de A.Fagunde

Keyword(s):

Software Development ◽

Comparative Study ◽

Regression Models ◽

Development Effort ◽

Effort Estimation ◽

Software Development Effort ◽

Software Development Effort Estimation ◽

Ensemble Regression

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A comparative study of robust designs for M-estimated regression models

Computational Statistics & Data Analysis ◽

10.1016/j.csda.2010.01.033 ◽

2010 ◽

Vol 54 (6) ◽

pp. 1683-1695 ◽

Author(s):

Douglas P. Wiens ◽

Eden K.H. Wu

Keyword(s):

Comparative Study ◽

Regression Models ◽

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Jackknifed Liu estimator in linear regression models

Wuhan University Journal of Natural Sciences ◽

10.1007/s11859-013-0938-4 ◽

2013 ◽

Vol 18 (4) ◽

pp. 331-336 ◽

Author(s):

Hongchang Hu ◽

Yuhe Xia

Keyword(s):

Linear Regression ◽

Regression Models ◽

Linear Regression Models ◽

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A Comparative Study of Neural Networks and Non-Parametric Regression Models for Trend and Seasonal Time Series

Trends in Applied Sciences Research ◽

10.3923/tasr.2009.126.137 ◽

2009 ◽

Vol 4 (3) ◽

pp. 126-137 ◽

Author(s):

Dursun Aydin

Keyword(s):

Neural Networks ◽

Time Series ◽

Comparative Study ◽

Regression Models ◽

Parametric Regression ◽

Seasonal Time Series ◽

Parametric Regression Models ◽

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Liu estimator in partly linear regression models with correlated errors

Communications in Statistics - Simulation and Computation ◽

10.1080/03610918.2015.1026988 ◽

2015 ◽

Vol 46 (3) ◽

pp. 1958-1973

Author(s):

Gülin Tabakan ◽

M. Revan Özkale

Keyword(s):

Linear Regression ◽

Regression Models ◽

Correlated Errors ◽

Linear Regression Models ◽

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Regression Models for Performance Ranking of Configurable Systems: A Comparative Study

Structured Object-Oriented Formal Language and Method - Lecture Notes in Computer Science ◽

10.1007/978-3-030-41418-4_17 ◽

2020 ◽

pp. 243-258

Author(s):

Yuntianyi Chen ◽

Yongfeng Gu ◽

Lulu He ◽

Jifeng Xuan

Keyword(s):

Comparative Study ◽

Regression Models ◽

Configurable Systems ◽

Performance Ranking

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Comparative study of two sparse multinomial logistic regression models in decoding visual stimuli from brain activity of fMRI

10.1117/12.2042459 ◽

2014 ◽

Author(s):

Sutao Song ◽

Gongxiang Chen ◽

Yu Zhan ◽

Jiacai Zhang ◽

Li Yao

Keyword(s):

Logistic Regression ◽

Comparative Study ◽

Regression Models ◽

Multinomial Logistic Regression ◽

Brain Activity ◽

Visual Stimuli ◽

Logistic Regression Models

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A restricted Liu estimator for binary regression models and its application to an applied demand system

Journal of Applied Statistics ◽

10.1080/02664763.2015.1092110 ◽

2015 ◽

Vol 43 (6) ◽

pp. 1119-1127 ◽

Author(s):

Kristofer Månsson ◽

B.M. Golam Kibria ◽

Ghazi Shukur

Keyword(s):

Regression Models ◽

Demand System ◽

Binary Regression ◽

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