• Experiments with a Single Factor:
• Basic concepts. One-Way classification Analysis of variance. Fixed effect models. Random effect models. Model checking.
• Randomized Blocks, Latin Squares and Related Designs:
• The randomized complete block design. Latin squares and Greco-Latin squares designs.
• Incomplete block designs:
Balanced incomplete block designs.
• Factorial designs:
Two-Way classification. Analysis of variance. Random and mixed models. 2k and 3k factorial designs. Total confounding.
• Multifactor Experiments:
The Split-Plot designs. Nested designs.
• Analysis of covariance:
Analysis of covariance for randomized block designs.
• Basic concepts. One-Way classification Analysis of variance. Fixed effect models. Random effect models. Model checking.
• Randomized Blocks, Latin Squares and Related Designs:
• The randomized complete block design. Latin squares and Greco-Latin squares designs.
• Incomplete block designs:
Balanced incomplete block designs.
• Factorial designs:
Two-Way classification. Analysis of variance. Random and mixed models. 2k and 3k factorial designs. Total confounding.
• Multifactor Experiments:
The Split-Plot designs. Nested designs.
• Analysis of covariance:
Analysis of covariance for randomized block designs.
- Teacher: Amel Mohammed Mahjoub Elmahdi FMST
- Teacher: Azza Omer Mohamed Omer FMST
- Teacher: Noon Abdelaziz Idris Salih FMST
- Teacher: Salma Fathelrhman Mohammed Abd Elgadir FMST
- Teacher: Taha Ahmed khater Khalel FMST
- Teacher: ب. عادل الطيب محمد يوسف FMST