Support

Support Options

Submit a Support Ticket

Online Simulation

And More

  1. Knowledge-based systems
  2. Discrete element model (DEM)
  3. QbD presentation
  4. Particle adhesion
  5. Van der waals force
  6. Process modeling
  7. Hamaker constants
  8. Particle-based computations
  9. Roller compaction
  10. Johanson's model
  11. Dry granulation
  12. Molecular modeling
  13. Statistical model building
  14. Visualization
  15. Excipients
  16. Database
  17. Active pharmaceutical ingredient (API)

Other

Databases

Statistical Model Building and Design of Experiments

By Gary Blau

Purdue University

See also

Lecture Number/Topic Online Lecture Video Lecture Notes Supplemental Material Suggested Exercises
Introduction to Model Building
Course Background: Initial ideas developed for Pharmaceutical Scientists at the Dow Chemical Plant in Brindisi, Italy (1975) Subsequently evolved into a global course on Process Optimization …
View Flash Notes
Probability Theory Review
For any real system or phenomenon, there will be a certain amount of variability associated with data generated by the system. Probability is the language used to characterize and interpret the …
Notes
Review of Statistics
This lecture covers the following topics Difference between statistics and probability Statistical Inference Samples and populations Intro to JMP software package Central limit …
Notes Example 1 Instructions
Example 1 JMP Data
Example 2 Instructions
Example 2 JMP Data
Example 3 Instructions
Example 3 and 4 JMP Data
Example 4 Instructions
Example 5 Instructions
Example 5 JMP Data
Example 6 Instructions
Example 6 JMP Data
Example 7 Instructions
Example 7 JMP Data
Single Factor Experiments
The purpose of single factor experiments is to: Quantify relationship between a single factor and a single measured or response variable Compare the relative effectiveness of two or more …
Notes Example 1 Instructions
Example 1 JMP Data
Example 2 JMP Data
Example 3 JMP Data
Example 4 JMP Data
Example 5 JMP Data
Factorial Experimentation
A full factorial experiment is a set of experimental runs such that all levels of a given factor are combined with all levels of every other factor.
Notes Example 1 Instructions
Example 1 Data
Screening
The objectives of this lecture are to: Show how to screen or select the most important main effects with fewer experiments. Show how to construct fractional factorial experiments by …
Notes Example 1 JMP Data
Example 2 JMP Data
Example 3 JMP Data
Response Surface Methodology
This lecture describes response surface models: Models are simple polynomials Include terms for interaction and curvature Coefficients are usually established by regression analysis with a …
Notes Example 1 Instructions
Example 1 JMP Data
Example 2 JMP Data
Problems for Statistical Model Building
Scenarios, problem statements, JMP data files, and solutions for the course on Statistical Model Building and Design of Experiments. Scenario 1 is based on a batch reactor system for small molecule …
Scenarios
Problem Statement Problem 1 JMP Data Problem 2 JMP Data Problem 3 JMP Data Problem 4 JMP Data Problem 5 JMP Data Problem 7 JMP Data Problem 8 JMP Data Problem 9 JMP Data Problem 10 JMP Data Problem 11 JMP Data Problem Solution