TMS032 / MSA251 Experimental design and sampling

Welcome

Welcome to TMS032/MSA251 Experimental design and sampling, study period 3, sprint 2023. This page contains the program of the course:. Other information, such as learning outcomes, teachers, literature and examination, are in a separate course PM.

Program

The schedule of the course can be found in TimeEdit. The same zoom-link below will be used for all sessions.

Teacher

Examiner and teacher: Marina Axelson-Fisk, (marinaa@chalmers.se)

Course litterature

M: Montgomery, D.C.: Design and Analysis of Experiments
C: Cochran, W.G.: Sampling Techniques
H: Handouts

Lectures

The following schedule is tentative:

Day Time Room Topic Litterature
Tues 17 Jan 13:15-15:00 MVH11 Lecture: One-way ANOVA M: 3.1-3.4, 3.5.7, 3.9, 4.1, 
Thur 19 Jan 8:00-9:45 MVH11 Exercise: One-way ANOVA M: pages 130-138
10:00-11:45 MVH11 Lecture: Linear regression M: 10.1-10.5, 10.7
Tues 24 Jan 13:15-15:00 Lecture: Factorial design

M: 1.1-1.4, 1.6, 5.1-5.4, 6.1-6.4, 6.9, 7.1-7.3, 7.5

Thur 26 Jan 8:00-9:45 Exercise: Linear regression M: Ch 10
10:00-11:45 Lecture: Fractional factorial design M: 8.1, 8.2, 8.4, 8.5, 8.7
Tues 31 Jan 13:15-15:00 Lecture: Response surfaces M: 11.1-11.4
Thur 2 Feb 8:00-9:45 Exercise: Factorial design M: Ch 5, 6, 7
10:00-11:45 Lecture: Mixed effects and split-plot design M: 13.1-13.3, 14.4
Tues 7 Feb No lecture CHARM
Thur 9 Feb 8:00-9:45 Exercise: Fractional factorial design M: Ch 8
10:00-11:45 Lecture: Simple random sampling, stratified sampling C: Ch 1,2 and 5
Tues 14 Feb 13:15-15:00 Lecture: Simple, stratified and systematic sampling C: Ch 1,2 and 5
Thur 16 Feb 8:00-9:45 Excercise: Systematic sampling and cluster sampling C: Ch 8, 9
10:00-11:45 Lecture: Systematic and cluster sampling C: 8.1-8.5, 9.1-9.5
Tues 21 Feb 13:15-15:00 Lecture: Pps-sampling, pi-ps-sampling C: 9A.1-9A.6
Thur 23 Feb 8:00-9:45 Exercise: Systematic and cluster sampling  C: Ch 8, 9
10:00-11:45 Lecture: Horvitz-Thompson estimators C: 9A.7, 9A.10
Tues 28 Feb 13:15-15:00 Lecture: Variances of non-linear estimates C: 11.3, 11.17-11.21
Thur 2 March 8:00-9:45 Exercise: Old exam
10:00-11:45 Lecture: Optimal allocation of resources C: 5.5-5.8

 

Exercises

Suggested exercises are those without crosses in the pdf:s below. Also, some of the data is given in Excel sheets for easier handling.

Excel solutions to demonstrated problems: demonstrated_problems.xlsx.

Problems Data sheets, Excel
Ch 3 (M) Montgomery Ch3 Data_Ch3
Ch 10 (M) Montgomery Ch 10 Data_Ch10
Ch 5 (M) Montgomery Ch 5 Data_Ch5
Ch 6 (M) Montgomery Ch 6
Ch 7 (M) Montgomery Ch 7
Ch 8 (M) Montgomery Ch 8
Ch 5 (C) Cochran Ch 5
Ch 9A (C) Cochran Ch 9A
Ch 11 (C) Cochran Ch 11

 

Old exams

 

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