Illinois Tech
Variable Selection, Model Validation, Nonlinear Regression
Illinois Tech

Variable Selection, Model Validation, Nonlinear Regression

Kiah Ong

Instructor: Kiah Ong

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

20 hours to complete
3 weeks at 6 hours a week
Flexible schedule
Learn at your own pace
Build toward a degree
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

20 hours to complete
3 weeks at 6 hours a week
Flexible schedule
Learn at your own pace
Build toward a degree

Details to know

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Assessments

10 assignments

Taught in English

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There are 4 modules in this course

In this module, you will learn the differences between logistic regression and ordinary linear regression, how to obtain the regression parameters using the maximum likelihood method, and use R to compute the estimators of a linear regression model and give a probabilistic prediction of Y=1 given X=x’s. There is a lot to read, watch, and consume in this module so, let’s get started!

What's included

7 videos4 readings3 assignments1 discussion prompt

In this module, you will learn the difference between Poisson regression and ordinary linear regression, how to obtain the regression parameters using the maximum likelihood method, use R to compute the estimators of a Poisson regression model and the generalized linear model, and the similarities between the linear, logistic, and Poisson regressions. There is a lot to read, watch, and consume in this module so, let’s get started!

What's included

6 videos3 readings3 assignments

In this module, you will learn how to modify the ordinary least squares method to make the regression model more robust to the effect of outliers and use R to compute the robust regression parameters using different M-estimators and perform model validations involving logistic regression. There is a lot to read, watch, and consume in this module so, let’s get started!

What's included

7 videos4 readings3 assignments

This module contains the summative course assessment that has been designed to evaluate your understanding of the course material and assess your ability to apply the knowledge you have acquired throughout the course.

What's included

1 assignment

Instructor

Kiah Ong
Illinois Tech
3 Courses1,742 learners

Offered by

Illinois Tech

Recommended if you're interested in Probability and Statistics

Build toward a degree

This course is part of the following degree program(s) offered by Illinois Tech. If you are admitted and enroll, your completed coursework may count toward your degree learning and your progress can transfer with you.¹

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