Explore advanced statistical concepts in this comprehensive lecture series covering a wide range of topics including Latin squares, Plackett-Burman designs, factorial experiments, and generalized linear models. Delve into practical applications with examples such as cotton weight analysis, missing data handling, and cow GLM studies. Learn to implement and interpret various experimental designs like 3k-p Latin squares, split-plot designs, and confounded factorial designs. Gain insights into ANOVA and regression techniques through cloth dye experiments, enhancing your understanding of complex statistical methodologies used in research and industry.
Overview
Syllabus
501 L3 cotton weight.
503 L04 missing data.
503 Latin Square for more than 2 blocking factors.
503 greco latin squares.
503 Ordered Pairs in Latin Squares.
503 Plackett-Burman.
503 3k-p Latin Square.
L04 cow GLM step01.
L04 cow GLM step02.
L04 cow GLM step04.
L05 clothdyes.
L07 2k confnd ABC.
L07 split plot.
503 L4 Cow Step2.
503 L4 Cow Step3.
503 L4 Cow Step4.
503 L5 Cloth Dyes ANOVA.
503 L5 Cloth Dyes Regression.
STAT 503: Factorial Design.
Taught by
Penn State Statistics
