'Simultaneous confidence intervals' presentation slideshows

Design and Analysis of Experiments Lecture 2.1

Design and Analysis of Experiments Lecture 2.1. Review of Lecture 1.2 Randomised Block Design and Analysis Illustration Explaining ANOVA Interaction? Effect of Blocking Matched pairs as Randomised blocks Introduction to 2-level factorial designs A 2 2 experiment Set up Analysis

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An Optimal Confidence Region for for the Best and the Worst Populations

An Optimal Confidence Region for for the Best and the Worst Populations. Speaker: Prof. Hubert J. Chen , Institute of Finance National Cheng Kung U., Taiwan. Jointly with: Prof. Shu-Fei Wu , Tamkang U., Taiwan. 2012.11.21 Invited Talk at Dept. of Statistics, Ping-Tung Edu . U.

531 views • 43 slides

Design of Statistical Investigations

Design of Statistical Investigations. 6. Orthogonal Designs Randomised Blocks II. Stephen Senn. Exp_5 Alternative Analyses. We will now show three alternative analyses of example Exp_5 First two of these are equivalent to the analysis already done

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Inference About a Mean Vector, Part 1

418 views • 33 slides

Treatment Comparisons

Treatment Comparisons. ANOVA can determine if there are differences among the treatments, but what is the nature of those differences? Are the treatments measured on a continuous scale? Look at response surfaces (linear regression, polynomials)

381 views • 24 slides

Design of experiment II: ANOVA and multiple hypotheses testing

Design of experiment II: ANOVA and multiple hypotheses testing. ANOVA Interactions Contrasts Multiple hypothesis tests. ANOVA tables. Standard ANOVA tables look like

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One-way ANOVA: - Comparing the means

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What If There Are More Than Two Factor Levels?

What If There Are More Than Two Factor Levels?. The t -test does not directly apply There are lots of practical situations where there are either more than two levels of interest, or there are several factors of simultaneous interest

321 views • 16 slides