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Documento Bookdown Propuesta
Propuesta de Bookdown Grupo 9
Perbandingan Metode Bootstrap dan Imputasi Missing Value pada Estimasi Regresi Linear
Simulasi regresi linear dengan pendekatan bootstrap dan penanganan missing value menggunakan mean imputation dan MICE. Hasil menunjukkan ketiga metode menghasilkan estimasi yang konsisten, namun MICE memberikan hasil paling stabil dengan tingkat ketidakpastian yang lebih rendah.
Predicting Ames Housing Prices with Tidymodels: A Statistical Modeling Portfolio
This portfolio applies multiple statistical models to the Ames Housing dataset using the tidymodels ecosystem. I start with exploratory analysis and data preprocessing, then fit multiple linear, polynomial, lasso, multinomial logistic and Poisson regressions. Cross‑validation and hold‑out testing are used to evaluate each model. I interpret coefficients in plain language, compare performance, and reflect on the modeling process.
Lasya_Margi
Analytical Minds Project
Kennesaw State University, USA
assignment 6
Project 2
ETR537_FinalProject_XGD
Linh Le - DV lab 15