'Expected mean squares' diaporamas de présentation

Design and Analysis of Experiments Lecture 4.1

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Design of Engineering Experiments - Experiments with Random Factors

Design of Engineering Experiments - Experiments with Random Factors. Text reference, Chapter 13 Previous chapters have focused primarily on fixed factors A specific set of factor levels is chosen for the experiment Inference confined to those levels

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Chapter 9

Chapter 9. More Complicated Experimental Designs. Randomized Block Design (RBD). t > 2 Treatments (groups) to be compared b Blocks of homogeneous units are sampled. Blocks can be individual subjects. Blocks are made up of t subunits

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An alternative approach to testing for a linear association

An alternative approach to testing for a linear association. The Analysis of Variance (ANOVA) Table. Translating a research question into a statistical procedure. Is there a (linear) relationship between skin cancer mortality and latitude? How ?? Also, the (analysis of variance) F -test

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Model With Crossed and Nested Factors

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Module 8: Estimating Genetic Variances Nested design GCA, SCA Diallel

PBG 650 Advanced Plant Breeding. Module 8: Estimating Genetic Variances Nested design GCA, SCA Diallel. Nested design. Also called North Carolina Design 1 Hierarchical design Two types of families Half sibs (male groups) Full-sibs (females/males). Females. Males. 1 2 3 4. 1. 5

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Randomized Block Design

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2-Way Mixed Analysis of Variance

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Two- Factor ANOVA K ij =1 (11.1)

Two- Factor ANOVA K ij =1 (11.1). Two Factors of Interest (A) and (B) I = number of levels of factor A J = number of levels of factor B K ij = number of observations made on treatment (i,j). Example.

283 views • 12 slides