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(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 >>
(324: Review I for Database Midterm on 9-23-26) (by Liping Liu) Concepts:
Databases
DBMS
Logical Data Models
Hierarchical Models
Network Models
Relational Models
Primary key
Foreign Key
Referential Integrity Rules
Entities
Relationships
Mapping Cardinality
Optionality
Attributes
Composite Attributes
Multi-valued Attributes
Relations
Relational Models
Recursive Relationships
Weak Entities
Super and Sub Entities
Gerund
SQL
Constraints
Oracle Meta Tables
Oracle Data Types
Skills and Techniques:
Conceptual Data Modeling (Entity-Relationship Diagramming) from the understanding of business objects and their relationships or from forms, reports, tables, and other data carrier to understand data requirements... more >>
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