Stanford Root

Schedule

Stanford Root

Schedule

STATS 263

Design of Experiments (STATS 363)

UNITS:3
GRADING:Letter or Credit/No Credit
LEVEL:Graduate
GER:—

Experiments vs observation. Confounding. Randomization. ANOVA. Blocking. Latin squares. Factorials and fractional factorials. Split plot. Response surfaces. Mixture designs. Optimal design. Central composite. Box-Behnken. Taguchi methods. Computer experiments and space filling designs. Prerequisites: STATS STATS 116/STATS 118, STATS STATS 191/STATS 203. See https://statistics.stanford.edu/course-equiv for equivalent courses in other departments that satisfy these prerequisites.

Syllabus for selected term:
View Winter 2027 Syllabus

Sections

1 Term
Lecture 1Open
ID: 25972
0 / 60 enrolled
DAYS:Monday, Wednesday
TIME:3 PM – 4:20 PM
LOCATION:TBD
INSTRUCTOR:
Owen, Art
3units

STATS 263: Design of Experiments (STATS 363)

3 units · Letter or Credit/No Credit

Experiments vs observation. Confounding. Randomization. ANOVA. Blocking. Latin squares. Factorials and fractional factorials. Split plot. Response surfaces. Mixture designs. Optimal design. Central composite. Box-Behnken. Taguchi methods. Computer experiments and space filling designs. Prerequisites: STATS 116/118, STATS 191/203. See https://statistics.stanford.edu/course-equiv for equivalent courses in other departments that satisfy these prerequisites.

Offered in Winter 2027 at Stanford University.

Winter 2027 sections

  • Lecture — Monday Wednesday 3:00 PM – 4:20 PM — Owen, Art (Graduate)

More STATS courses

  • STATS 251: Causal Inference in Clinical Trials and Observational Studies (BMDS 251)
  • STATS 260A: Workshop in Biomedical Data Science (BMDS 280A)
  • STATS 260B: Workshop in Biomedical Data Science (BMDS 280B)
  • STATS 260C: Workshop in Biomedical Data Science (BMDS 280C)
  • STATS 261: Intermediate Biostatistics: Analysis of Discrete Data (BMDS 241, EPI 261)
  • STATS 262: Intermediate Biostatistics: Regression, Prediction, Survival Analysis (EPI 262)
  • STATS 264: Foundations of Statistical and Scientific Inference (BMDS 243, EPI 264)
  • STATS 270: Bayesian Statistics (STATS 370)
  • STATS 292: Statistical Models of Text and Language
  • STATS 298: Industrial Research for Statisticians
  • STATS 299: Independent Study
  • STATS 300A: Theory of Statistics I

All STATS courses · All departments