A new method for choosing the biasing parameter in ridge estimator for generalized linear model
ZY Algamal - Chemometrics and Intelligent Laboratory Systems, 2018 - Elsevier
Multicollinearity problem arises frequently in several modern applications, such as
chemometrics, biology, and other scientific fields. The common feature of the …
chemometrics, biology, and other scientific fields. The common feature of the …
[HTML][HTML] Determining confidence interval and asymptotic distribution for parameters of multiresponse semiparametric regression model using smoothing spline …
B Lestari, N Chamidah, IN Budiantara… - Journal of King Saud …, 2023 - Elsevier
The multiresponse semiparametric regression (MSR) model is a regression model with more
than two response variables that are mutually correlated, and its regression function is …
than two response variables that are mutually correlated, and its regression function is …
[图书][B] Post-shrinkage strategies in statistical and machine learning for high dimensional data
This book presents some post-estimation and predictions strategies for the host of useful
statistical models with applications in data science. It combines statistical learning and …
statistical models with applications in data science. It combines statistical learning and …
[图书][B] Analisis Regresi Nonparametrik dengan Perangkat Lunak R
N Chamidah, B Lestari - 2022 - books.google.com
Buku ini menyajikan pembahasan model-model regresi nonparametrik dengan fokus pada
metode estimasi model dan membuat program estimasi model regresi nonparametrik …
metode estimasi model dan membuat program estimasi model regresi nonparametrik …
Optimum shrinkage parameter selection for ridge type estimator of Tobit model
This paper presents different ridge type estimators based on maximum likelihood (ML) for
parameters of a Tobit model. In this context, an algorithm is introduced to get the estimators …
parameters of a Tobit model. In this context, an algorithm is introduced to get the estimators …