MULTICOLLINEARITY

作品数:26被引量:39H指数:3
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相关领域:理学更多>>
相关作者:归庆明段清堂更多>>
相关机构:东北林业大学郑州轻工业学院解放军信息工程大学更多>>
相关期刊:《Applied Mathematics》《经济管理学刊(中英文版)》《Journal of Meteorological Research》《Open Journal of Statistics》更多>>
相关基金:国家自然科学基金广西壮族自治区自然科学基金更多>>
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An Application of Machine Learning to Thalassemia Diagnosis
《Journal of Computer and Communications》2024年第2期211-230,共20页Sitan Liu 
Mediterranean anemia is a genetic disease that currently relies heavily on expert clinical experience to determine whether patients are affected. This method is overly reliant on expert experience and is not precise e...
关键词:MULTICOLLINEARITY Statistical Analysis Models Data Mining PCA-LR PLS 
Dealing with Multicollinearity in Factor Analysis: The Problem, Detections, and Solutions
《Open Journal of Statistics》2023年第3期404-424,共21页Theodoros Kyriazos Mary Poga 
Multicollinearity in factor analysis has negative effects, including unreliable factor structure, inconsistent loadings, inflated standard errors, reduced discriminant validity, and difficulties in interpreting factor...
关键词:MULTICOLLINEARITY Factor Analysis Biased Factor Loadings Unreliable Factor Structure Reduced Stability Variance Inflation Factor 
Stem taper functions for Betula platyphylla in the Daxing’an Mountains,northeast China被引量:4
《Journal of Forestry Research》2021年第2期529-541,共13页Muhammad Khurram Shahzad Amna Hussain Harold EBurkhart Fengri Li Lichun Jiang 
fi nancially supported by the National Natural Science Foundation of China(31570624);Applied Technology Research and Development Plan Project of Heilongjiang Province(GA19C006);Fundamental Research Funds for Central Universities(2572019CP15).
Accurate prediction of stem diameter is an important prerequisite of forest management.In this study,an appropriate stem taper function was developed for upper stem diameter estimation of white birch(Betula platyphyll...
关键词:White birch Taper function MULTICOLLINEARITY AUTOCORRELATION Nonlinear regression 
On Identifying Influential Observations in the Presence of Multicollinearity
《Open Journal of Statistics》2021年第2期290-302,共13页Chinwendu Alice Uzuke Ifeyinwa Christiana Ezeilo 
Influential observation is one which either individually or together with several other observations has a demonstrably large impact on the values of various estimates of regression coefficient. It has been suggested ...
关键词:Multicollinerity Ridge Parameter Influential Measures OUTLIERS Leverage Point 
Impact Analysis of Macroeconomic Factors on Stock Value of Shanghai Pudong Development Bank under PCA Regression
《经济管理学刊(中英文版)》2020年第2期79-86,共8页Xujie Pan Kai Wu 
When we consider the factors affecting the stock market,we often consider the impact of macroeconomic factors on it.On the basis of the academic achievements of predecessor scholars on macroscopic factors affecting th...
关键词:Stock Value PAC Regression Macroeconomic Factors MULTICOLLINEARITY Shanghai Pudong Development Bank Stock 
Effects of Multicollinearity on Type I Error of Some Methods of Detecting Heteroscedasticity in Linear Regression Model
《Open Journal of Statistics》2020年第4期664-677,共14页Olusegun Olatayo Alabi Kayode Ayinde Omowumi Esther Babalola Hamidu Abimbola Bello Edward Charles Okon 
Heteroscedasticity and multicollinearity are serious problems when they exist in econometrics data. These problems exist as a result of violating the assumptions of equal variance between the error terms and that of i...
关键词:Regression Model Heteroscedasticity Methods Heteroscedasticity Structures MULTICOLLINEARITY Monte Carlo Study Significance Levels Type I Error Rates 
Choosing Appropriate Regression Model in the Presence of Multicolinearity
《Open Journal of Statistics》2019年第2期159-168,共10页Maruf A. Raheem Nse S. Udoh Aramide T. Gbolahan 
This work is geared towards detecting and solving the problem of multicolinearity in regression analysis. As such, Variance Inflation Factor (VIF) and the Condition Index (CI) were used as measures of such detection. ...
关键词:MULTICOLLINEARITY ADEQUACY Regression COEFFICIENTS Variance INFLATION Factor (VIF) Mean Square Error 
Comparison of Different Regularized and Shrinkage Regression Methods to Predict Daily Tropospheric Ozone Concentration in the Grand Casablanca Area
《Advances in Pure Mathematics》2018年第10期793-812,共20页Halima Oufdou Lise Bellanger Amal Bergam Angélina El Ghaziri Kenza Khomsi El Mostafa Qannari 
Tropospheric ozone (O3) is one of the pollutants that have a significant impact on human health. It can increase the rate of asthma crises, cause permanent lung infections and death. Predicting its concentration level...
关键词:Multiple Linear Regression MULTICOLLINEARITY Penalized Regression Statistical Forecasting TROPOSPHERIC Ozone 
On the Stochastic Restricted Modified Almost Unbiased Liu Estimator in Linear Regression Model被引量:1
《Communications in Mathematics and Statistics》2018年第2期185-206,共22页S.Arumairajan 
In this article,we propose a new biased estimator,namely stochastic restricted modified almost unbiased Liu estimator by combining modified almost unbiased Liu estimator(MAULE)and mixed estimator(ME)when the stochasti...
关键词:MULTICOLLINEARITY Stochastic restrictions Modified almost unbiased Liu estimator Stochastic restricted modified almost unbiased Liu estimator Mean squared error matrix 
A New Stochastic Restricted Liu Estimator for the Logistic Regression Model被引量:1
《Open Journal of Statistics》2018年第1期25-37,共13页Weibing Zuo Yingli Li 
In order to overcome the well-known multicollinearity problem, we propose a new Stochastic Restricted Liu Estimator in logistic regression model. In the mean square error matrix sense, the new estimation is compared w...
关键词:MULTICOLLINEARITY LIU ESTIMATOR Stochastic RESTRICTED LIU ESTIMATOR SCALAR Mean Squared ERROR Matrix 
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