Regularized multiple regression methods to deal with severe multicollinearity N Herawati, K Nisa, E Setiawan, N Nusyirwan, T Tiryono International Journal of Statistics and Applications 8 (4), 167-172, 2018 | 40 | 2018 |
Modeling with generalized linear model on covid-19: Cases in Indonesia S Saidi, N Herawati, K Nisa International Journal of Electronics and Communications System 1 (1), 25-33, 2021 | 14 | 2021 |
Robust Principal Component Trimmed Clustering of Indonesian Provinces Based on Human Development Index Indicators SDA Larasati, K Nisa, N Herawati Journal of Physics: Conference Series 1751 (1), 012021, 2021 | 14 | 2021 |
Analisis Regresi Komponen Utama Robust dengan Metode Minimum Covariance Determinant–Least Trimmed Square (MCD-LTS) SDA Larasati FAKULTAS MATEMATIKA DAN ILMU PENGETAHUAN ALAM, 2019 | 9 | 2019 |
Characterizations of multivariate normal-Poisson model K Nisa, CC Kokonendji, A Saefuddin Journal of Iranian Statistical Society 14 (2), 37-52, 2015 | 9 | 2015 |
Rancangan Percobaan Teori dan Aplikasi SAS N Herawati, E Setiawan, K Nisa Pusaka Media, Bandar Lampung, 2018 | 8 | 2018 |
On Hilbert-Schmidt Tuples of Commutative Bounded Linear Operators on Separable Banach Spaces M Habibi International Journal of Mathematics Trends and Technology-IJMTT 8, 2014 | 8* | 2014 |
Ridge Regression for handling different levels of multicollinearity N Herawati, K Nisa, D Azis, SU Nabila Science International Lahore 30 (4), 597-600, 2018 | 7 | 2018 |
Analisis Ketegaran Regresi Robust Terhadap Letak Pencilan: Studi Perbandingan N Herawati Bulletin of Mathematics 3 (1), 2010 | 7 | 2010 |
Analisis Regresi Robust Menggunakan Metode Least Trimmed Square untuk Data Mengandung Pencilan K Nisa Jurnal Ilmiah MIPA 9 (2), 1-9, 2006 | 7 | 2006 |
Selecting the method to overcome partial and full multicollinearity in binary logistic model N Herawati, K Nisa, N Nusyirwan International Journal of Statistics and Applications 10 (3), 55-59, 2020 | 6 | 2020 |
Robust estimation of generalized estimating equation when data contain outliers K Nisa, N Herawati INSIST 2 (1), 1-5, 2017 | 6 | 2017 |
Nonparametric Modeling Using Kernel Method for the Estimation of the Covid-19 Data in Indonesia During 2020 S Saidi, N Herawati, K Nisa, E Setiawan International Journal of Mathematics Trends and Technology-IJMTT 67, 2021 | 5 | 2021 |
A Structural Equation Modeling of Factors Affecting Student Motivation in Thesis Preparation E Setiawan, A Pratiwi, N Herawati, K Nisa, A Faisol Journal of Physics: Conference Series 1751 (1), 012030, 2021 | 5 | 2021 |
Generalized Variance Estimations of Normal-Poisson Models CC Kokonendji, K Nisa Forging Connections between Computational Mathematics and Computational …, 2016 | 5 | 2016 |
Robust Biplot Analysis of Natural Disasters in Indonesia from 2019 to 2021 H Venelia, K Nisa, RA Wibowo, MA Muda Jurnal Aplikasi Statistika & Komputasi Statistik 13 (2), 61-68, 2021 | 4 | 2021 |
HANDLING FULL MULTICOLLINEARITY AND VARIOUS NUMBERS OF OUTLIERS USING ROBUST RIDGE REGRESSION E Setiawan, N Herawati, K Nisa, N Nusyirwan, S Saidi Science Internaitonal Lahore 31 (2), 201-204, 2019 | 4 | 2019 |
Modeling Stock Return Data using Asymmetric Volatility Models: A Performance Comparison based on the Akaike Information Criterion and Schwarz Criterion E Setiawan, N Herawati, K Nisa Journal of Engineering and Scientific Research 1 (1), 39-43, 2019 | 4 | 2019 |
ANALISIS REGRESI NONNPARAMETRIK DENGAN TEKNIK SMOOTHING K Nisa, N Herawati, E Setiawan PROSIDING SEMIRATA & ICST 2018, 2018 | 3 | 2018 |
ON GENERALIZED VARIANCE OF NORMAL-POISSON MODEL AND POISSON VARIANCE ESTIMATION UNDER GAUSSIANITY K Nisa, CC Kokonendji, A Saefuddin, AH Wigena, IW Mangku ARPN Journal of Engineering and Applied Sciences 12 (12), 3836-3842, 2017 | 3 | 2017 |