Split-Plot Designs

Jul 23, 2013

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Different size requirements. The split plot is a design which allows the levels of one factor to be applied to large plots while the levels of another factor are applied to small plotsLarge plots are whole plots or main plotsSmaller plots are split plots or subplots. Randomization. Levels of the w

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Split-Plot Designs

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design of engineering experiments part 10 nested and split-plot designs

DOX 6E Montgomery. 2. Two-Stage Nested Design. Section 14-1 (pg. 525) In a nested design, the levels of one factor (B) is similar to but not identical to each other at different levels of another factor (A)Consider a company that purchases material from three suppliersThe material comes in batchesIs the purity of the material uniform?Experimental design Select four batches at random from each supplierMake three purity determinations from each batch.

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Identifying the Split-plot and Constructing an Analysis

Identifying the Split-plot and Constructing an Analysis. George A. Milliken Department of Statistics Kansas State University milliken@stat.ksu.edu. Complex Split-plot Designs. 1. Very Useful Efficient Designs. 2. Often used but Not Recognized Designs.

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Strip-Plot Designs

Strip-Plot Designs. Sometimes called split-block design For experiments involving factors that are difficult to apply to small plots Three sizes of plots so there are three experimental errors The interaction is measured with greater precision than the main effects. S3 S1 S2.

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Univariate Split-Plot Analysis

Univariate Split-Plot Analysis . 2003 LPGA Data. Background Information. 6 Golfers (Treated as only 6 of interest Fixed ) 8 Tournaments (Treated as random sample of all possible tournaments) 4 Rounds per tournament (fixed factor). Daniel. Park. Kung. Webb. Ochoa. Pak.

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Split Plot or Mixed Factorial Design

Example. Suppose a perceptual psychologist is interested in age differences in task performance; the target letter is shown at the center of the screen (0 degree), and off-center (4 degrees, 8, and 12 degrees). Specifically, the researcher is interested in determining whether older adults respond di

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Split-Plot Experiment

Split-Plot Experiment. Top Shrinkage by Wool Fiber Treatment and Number of Drying Revolutions J. Lindberg (1953). “Relationship Between Various Surface Properties of Wool Fibers: Part II: Frictional Properties,” Textile Research Journal , Vol. 23, pp. 225-237. Data Description.

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Fixed, random, mixed-model ANOVAs Factorial vs. nested designs Formal design notation Split-plot designs

ANOVA lecture. Fixed, random, mixed-model ANOVAs Factorial vs. nested designs Formal design notation Split-plot designs. Goals Describe your ANOVA design to a statistician (who can then help you analyse it). Recognize three common types of ANOVA designs:

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Design of Engineering Experiments – Nested and Split-Plot Designs

Design of Engineering Experiments – Nested and Split-Plot Designs. Text reference, Chapter 14 These are multifactor experiments that have some important industrial applications

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Design of Engineering Experiments Part 10 – Nested and Split-Plot Designs

Design of Engineering Experiments Part 10 – Nested and Split-Plot Designs. Text reference, Chapter 14, Pg. 525 These are multifactor experiments that have some important industrial applications

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Split-Plot Designs

Split-Plot Designs. Usually used with factorial sets when the assignment of treatments at random can cause difficulties large scale machinery required for one factor but not another irrigation tillage plots that receive the same treatment must be grouped together

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Box Split Plot HW

Box Split Plot HW. again……. T rick or Treat!!!!!!!!!!. Model I and EMS. ANOVA Sums of Squares for each term. Model I F-tests. Interaction Plot. Model II and EMS. Model II F-tests.

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DESIGN OF EXPERIMENTS NESTED DESIGNS SPLIT PLOT DESIGNS

DESIGN OF EXPERIMENTS NESTED DESIGNS SPLIT PLOT DESIGNS. 592 Term Paper presentation. Presented by: Safa Khater. Objective. Study the concept of design of experiments focusing on Nested Designs and Split Plot Designs.

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Split-plot designs Martin Arvidsson

Split-plot designs Martin Arvidsson. A simple test performed at Cochlear BAS to evaluate a new supplier of components. The objective of the test was to evaluate whether washers from a new supplier could be used

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Split plot

What, Why, and How

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Univariate Split-Plot Analysis

Univariate Split-Plot Analysis. 2003 LPGA Data. Background Information. 6 Golfers (Treated as only 6 of interest Fixed ) 8 Tournaments (Treated as random sample of all possible tournaments) 4 Rounds per tournament (fixed factor). Daniel. Park. Kung. Webb. Ochoa. Pak.

216 views • 14 slides

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