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Philip Ramsey
United States
เข้าร่วมเมื่อ 28 พ.ค. 2014
The channel contains videos from my Design of Experiments I course at the University of New Hampshire. You can access a companion set of notes in protected PDF format and some of the JMP datasets at the following link tinyurl.com/Math840notes. The course has the designation Math 740 and Math 840. The course fully integrates the JMP 12 statistical software and many of the videos demonstrate the use of JMP to analyze and create experimental designs.
16a Prediction and Model Averaging
Discussed Ensemble Modeling for Prediction using Prediction Averages over Models or using Model Averaging. The focus is on predictive modeling for Designed Experiments
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Describing Continuous Distributions - Histograms, Sep 11, 04 01 PM
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Describing Continuous Distributions - Histograms, Sep 11, 04 01 PM
40 Introduction to Design of Experiments
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40 Introduction to Design of Experiments
39 Chapter 6 Part 3 - Setting the Scene for DOE
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39 Chapter 6 Part 3 - Setting the Scene for DOE
37 Partition Modeling (Press Band) Part 2
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37 Partition Modeling (Press Band) Part 2
42 Analyzing and Optimizing the Anodize Experimental Data
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42 Analyzing and Optimizing the Anodize Experimental Data
30 One-way ANOVA and Multiple Comparions
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30 One-way ANOVA and Multiple Comparions
Describing Continuous Distributions - Centering, Sep 12, 11 10 AM
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Describing Continuous Distributions - Centering, Sep 12, 11 10 AM
43 Accessing the Capability of the Optimized Anodize Process
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43 Accessing the Capability of the Optimized Anodize Process
25 Anodize Process Stability and Capability
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25 Anodize Process Stability and Capability
33 Inference for Two or More Proportions
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33 Inference for Two or More Proportions
15 Overview of the Anodized Parts Case Study
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15 Overview of the Anodized Parts Case Study
Describing Continuous Distributions - Spread, Sep 12, 11 29 AM
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Describing Continuous Distributions - Spread, Sep 12, 11 29 AM
Hello, Professor Ramsey. I would like to ask whether it is appropriate to remove statistically insignificant regressors from the regression model. Are the repeated experiments with which the variance of the pure error in the nail of the lack of fit test is calculated used for the calculation of the coefficients of the derived regression model? Thanks in advance for the reply. Be healthy.
Very good tutorial. Thanks!
can you have more detail on how g is calculated? thanks!
please sir, I need the notes.