Advanced Statistical Methods in Experimental Design

Singapore University of Social Sciences

Advanced Statistical Methods in Experimental Design (MTH354)

Applications Open: 01 October 2024

Applications Close: 15 November 2024

Next Available Intake: January 2025

Course Types: Modular Undergraduate Course, SkillsFuture Series

Language: English

Duration: 6 months

Fees: $1392 View More Details on Fees

Area of Interest: Science and Technology

Schemes: Alumni Continuing Education (ACE)

Funding: SkillsFuture

School/Department: School of Science and Technology

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Synopsis

MTH354 Advanced Statistical Methods in Experimental Design continues from MTH353 Basic Statistical Methods in Experimental Design to focus on the connection between the experiment and the model that the experimenter can develop from the results of the experiment. It covers factorial and fractional factorial designs in greater detail. The course introduces response surface methodology and gives an overview of random effects model and nested and split-plot designs.

Level: 3
Credit Units: 5
Presentation Pattern: EVERY JAN

Topics

Two-Level Fractional Factorial Designs
The General 2^(k-p) Fractional Factorial Design
Resolution III, IV and V Designs
The 3^k Factorial Design
Factorials with Mixed Levels
Constructing Factorial and Fractional Factorial Designs Using an Optimal Design Tool
Regression Model Diagnostics
The Method of Steepest Ascent
Experiments with Random Factors
Nested Design
Split-Plot Design
Analysis of Covariance

Learning Outcome

Verify the generators for a given design.
Discuss the differences between a split plot and a two-way ANOVA.
Implement a randomised complete block design and construct the ANOVA table.
Demonstrate a factorial design and constructing the ANOVA table in R.
Analyze the data collected based on the design used and its underlying assumptions.
Interpret the results of an experiment and report the conclusions.