Linear Model & Regression Techniques
Multiple linear regression, residual analysis, regression diagnostics, variable selection and model selection techniques, nonparametric regression, generalized linear models, varying coefficients regression models, bootstrap regression, multivariate regression techniques, analysis of repeated measure data, analysis of missing data and different imputation techniques, quantile regression.
R programming language will be used throughout the course for all computations.
R programming language will be used throughout the course for all computations.
Lecturer
Kiranmoy Das
Date
18th September ~ 13th December, 2023
Location
| Weekday | Time | Venue | Online | ID | Password |
|---|---|---|---|---|---|
| Monday,Wednesday | 09:50 - 11:25 | A3-1-301 | ZOOM A | 388 528 9728 | BIMSA |
Reference
1. Applied Regression Analysis. Draper and Smith, Wiley.
2. Multiple and Generalized Nonparametric Regression. John Fox, Sage.
3. Introduction to Linear Regression Analysis. Montgomery, Peck and Vining, Wiley.
2. Multiple and Generalized Nonparametric Regression. John Fox, Sage.
3. Introduction to Linear Regression Analysis. Montgomery, Peck and Vining, Wiley.
Audience
Graduate
Video Public
Yes
Notes Public
Yes
Language
English
Lecturer Intro
Prof. Kiranmoy Das obtained his PhD from The Pennsylvania State University, Statistics Department, and has taught in Temple University (USA), Presidency University (India), Indian Statistical Institute (India). He has published nearly 50 research articles in Statistics, Medical Sciences, Computer Science and Biology, has supervised 2 PhD and more than 30 MS students. He has joined BIMSA as a professor in August 2023. His research interests include Bayesian modeling, Longitudinal data analysis, Biostatistics, Statistical Computing, Wireless Communications.