In regression analysis, least squares method used adjuster, which is used to estimate the regression parameters, contains a lot of weaknesses, if there is data in the multikolinieritas especially coupled with the outliers. To overcome these weaknesses ridge-MMregression method is used. Ridge-MM regression method is a modification of the ridge regression method is based on the MM-estimator
Pada analisis regresi berganda, terdapat beberapa asumsi-asumsi klasik yang harus dipenuhi, salah sa...
Multikolinearitas merupakan salah satu pelanggaran asumsi dalam regresi linier ganda. Multikolineari...
The multiple linear regression model is used to study the relationship between a dependent variable ...
In regression analysis, least squares method used adjuster, which is used to estimate the regression...
Ridge regression is one of penalized regression methods. Penalized regression methods are usua...
Analisis regresi linier berganda digunakan untuk menganalisis data tentang hubungan ketergantungan ...
Robust ridge methods based on M, S, MM and GM estimators are examined in the presence of multicollin...
Regression analysis is statistical method used to analyze the dependence of respond variables to pre...
Analisis regresi merupakan sebuah alat untuk mempelajari hubungan antar variabel. Jika terdapat bebe...
Least square method is one of parameter estimation method, it is a method for estimating regression ...
In the multiple linear regression analysis, the ridge regression estimator is often used to address ...
Analisis regresi adalah sebuah alat statistika untuk mengetahui bentuk hubungan antara peubah respo...
In the multiple linear regression analysis, the ridge regression estimator is often used to address ...
Abstract. The effect of outlier numbers and location on regression coefficient is studied by compari...
Regresi ridge adalah metode yang digunakan untuk mengatasi masalah multikolinearitas, dimana metode ...
Pada analisis regresi berganda, terdapat beberapa asumsi-asumsi klasik yang harus dipenuhi, salah sa...
Multikolinearitas merupakan salah satu pelanggaran asumsi dalam regresi linier ganda. Multikolineari...
The multiple linear regression model is used to study the relationship between a dependent variable ...
In regression analysis, least squares method used adjuster, which is used to estimate the regression...
Ridge regression is one of penalized regression methods. Penalized regression methods are usua...
Analisis regresi linier berganda digunakan untuk menganalisis data tentang hubungan ketergantungan ...
Robust ridge methods based on M, S, MM and GM estimators are examined in the presence of multicollin...
Regression analysis is statistical method used to analyze the dependence of respond variables to pre...
Analisis regresi merupakan sebuah alat untuk mempelajari hubungan antar variabel. Jika terdapat bebe...
Least square method is one of parameter estimation method, it is a method for estimating regression ...
In the multiple linear regression analysis, the ridge regression estimator is often used to address ...
Analisis regresi adalah sebuah alat statistika untuk mengetahui bentuk hubungan antara peubah respo...
In the multiple linear regression analysis, the ridge regression estimator is often used to address ...
Abstract. The effect of outlier numbers and location on regression coefficient is studied by compari...
Regresi ridge adalah metode yang digunakan untuk mengatasi masalah multikolinearitas, dimana metode ...
Pada analisis regresi berganda, terdapat beberapa asumsi-asumsi klasik yang harus dipenuhi, salah sa...
Multikolinearitas merupakan salah satu pelanggaran asumsi dalam regresi linier ganda. Multikolineari...
The multiple linear regression model is used to study the relationship between a dependent variable ...
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