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(641 Week 5 Outline) (by Liping Liu) Lecture 1: Normalization (Chapter 11 of LIU)
Criteria for a good database design
Issues with data redundancies
The concept of normalization
Functional dependency: Tables 1 and 2
First Normal Form: Tables 3
Second Normal Form: Tables 1 and 5
Third Normal Form: Author Editor Example and Job Class Example
Lecture 2: Normal Forms
Third Normal Form: Table 6
Boyce-Codd Normal Form
Additional Examples:
Assume a customer can make several loans, with or without other partners... more >>
(ISM 602 Week 6 Outline) (by Liping Liu)
Review
assumptions of linear regression
how to interpret regression results of summary() and plot
Required Packages and Data: MASS, caret, homes.csv
Three Unifying Features of Generalized Linear Models (slides)
Which model works for predicting which business variables (slides)
Assumptions of gamma regression: gamma response, independent cases, constant dispersion, and no collinearity
Comparisons of OLS and MLE
Concept of MLE:
computing likelihood and log likelihood of gamma variable observations y = c(10, 15, 3, 19) or y = homes$totalvalue
comparing which model parameters improve the likelihood alpha=1, beta=1, alpha=1, beta = 2, ... more >>
This system is designed and developed by Professor Liping Liu with financial support from Southern Illinois University at Carbondale. It evolved from a prior version called CourseWeb (for courses prior to Year 2000) and UXTEND.COM and www.e-course.org.