Retour à Factorial and Fractional Factorial Designs
Avis et commentaires pour d'étudiants pour Factorial and Fractional Factorial Designs par Université d'État de l'Arizona
54 évaluations
À propos du cours
Many experiments in engineering, science and business involve several factors. This course is an introduction to these types of multifactor experiments. The appropriate experimental strategy for these situations is based on the factorial design, a type of experiment where factors are varied together. This course focuses on designing these types of experiments and on using the ANOVA for analyzing the resulting data. These types of experiments often include nuisance factors, and the blocking principle can be used in factorial designs to handle these situations. As the number of factors of interest grows full factorials become too expensive and fractional versions of the factorial design are useful. This course will cover the benefits of fractional factorials, along with methods for constructing and analyzing the data from these experiments.
Meilleurs avis
SH
21 déc. 2020
Dense, very to the point and extremely useful course for me. I only wish there was more example videos in JMP.
SK
3 févr. 2022
Great course for reasearcers and scientists who want perform experiments in a scientific way
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1 - 16 sur 16 Avis pour Factorial and Fractional Factorial Designs
par Abhishek A
•21 sept. 2020
par Dr. R R R
•26 juil. 2020
par Diego G
•26 nov. 2020
par José M P C
•7 sept. 2020
par Sarallah H
•22 déc. 2020
par subbu k
•4 févr. 2022
par Allan J G
•18 déc. 2021
par Phương L N T
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par Miguel A H M
•30 mai 2022
par Geraldo L F L F
•20 nov. 2020
par ROMMEL A
•5 sept. 2021
par Angel O A R
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par Shivani G
•3 avr. 2022
par 杜傳彬
•10 août 2022
par Karolina W
•23 oct. 2020
par Eric G
•7 sept. 2021
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