Канал: Philip Ramsey

16a Prediction and Model Averaging

16a Prediction and Model Averaging

Describing Continuous Distributions - Histograms, Sep 11, 04 01 PM

Describing Continuous Distributions - Histograms, Sep 11, 04 01 PM

40 Introduction to Design of Experiments

40 Introduction to Design of Experiments

Confidence Intervals

Confidence Intervals

38 Performing SLR in JMP

38 Performing SLR in JMP

24 Process Capability - Normal

24 Process Capability - Normal

39 Chapter 6 Part 3 - Setting the Scene for DOE

39 Chapter 6 Part 3 - Setting the Scene for DOE

37 Partition Modeling (Press Band) Part 2

37 Partition Modeling (Press Band) Part 2

42 Analyzing and Optimizing the Anodize Experimental Data

42 Analyzing and Optimizing the Anodize Experimental Data

30 One-way ANOVA and Multiple Comparions

30 One-way ANOVA and Multiple Comparions

Describing Continuous Distributions - Centering, Sep 12, 11 10 AM

Describing Continuous Distributions - Centering, Sep 12, 11 10 AM

43 Accessing the Capability of the Optimized Anodize Process

43 Accessing the Capability of the Optimized Anodize Process

36 Partition Modeling Part 1

36 Partition Modeling Part 1

19 Attribute MSA Part 1

19 Attribute MSA Part 1

Basics of Hypothesis Testing

Basics of Hypothesis Testing

13 Exploring Data Part 1

13 Exploring Data Part 1

22 SPC 1

22 SPC 1

45 Implementation Plans

45 Implementation Plans

25 Anodize Process Stability and Capability

25 Anodize Process Stability and Capability

33 Inference for Two or More Proportions

33 Inference for Two or More Proportions

35 Relative Risk and Odds Ratios

35 Relative Risk and Odds Ratios

23 SPC 2

23 SPC 2

41 Custom Design Platform in JMP

41 Custom Design Platform in JMP

15 Overview of the Anodized Parts Case Study

15 Overview of the Anodized Parts Case Study

34 Simpsons Paradox

34 Simpsons Paradox

11 Preprocessing Data Part 1

11 Preprocessing Data Part 1

28 Two Sample Tests using JMP

28 Two Sample Tests using JMP

32 Inference for One Proportion

32 Inference for One Proportion

20 Attribute MSA Part 2

20 Attribute MSA Part 2

Describing Continuous Distributions - Spread, Sep 12, 11 29 AM

Describing Continuous Distributions - Spread, Sep 12, 11 29 AM

46 Summary of the Anodize Project and Final Results

46 Summary of the Anodize Project and Final Results

17 Continuous MSA Part 2

17 Continuous MSA Part 2

21 Anodize Parts Attribute MSA

21 Anodize Parts Attribute MSA

12 Preprocessing Data Part 2

12 Preprocessing Data Part 2

44 Selecting a Solution

44 Selecting a Solution

07 Describing Continuous Distributions - Run Charts

07 Describing Continuous Distributions - Run Charts

29 Paired Testing in JMP

29 Paired Testing in JMP

05 Basic Team Tools

05 Basic Team Tools

16 Continuous MSA Part 1

16 Continuous MSA Part 1

31 ANOM, Eq Variance, Equivalence Testing

31 ANOM, Eq Variance, Equivalence Testing

27 One Sample Equivalence Testing

27 One Sample Equivalence Testing

10 Data Collection Strategies

10 Data Collection Strategies

18 Backscatter Gage MSA

18 Backscatter Gage MSA

26 Tolerance Intervals

26 Tolerance Intervals

09 Describing Nominal Variables

09 Describing Nominal Variables

03a Understanding Variation Part 1

03a Understanding Variation Part 1

03b Understanding Variation Part 2

03b Understanding Variation Part 2

08 Describing Continuous Distributions - Box Plots

08 Describing Continuous Distributions - Box Plots

14 Exploring Data Part 2

14 Exploring Data Part 2

06 Defining the Process

06 Defining the Process

04 Project Charters

04 Project Charters

02a Six Sigma Overview Part 1

02a Six Sigma Overview Part 1

02a Six Sigma Overview Part 1

02a Six Sigma Overview Part 1

02c Six Sigma Overview Part 3

02c Six Sigma Overview Part 3

02c Six Sigma Overview Part 3

02c Six Sigma Overview Part 3

02b Six Sigma Overview Part 2

02b Six Sigma Overview Part 2

01a Using the JMP Addin Distribution Calculator

01a Using the JMP Addin Distribution Calculator

02 Experiments with 1 Factor

02 Experiments with 1 Factor

03 Principles of ANOVA

03 Principles of ANOVA

04 Replication and Subsampling

04 Replication and Subsampling

05 Analyzing Experiments with Replication and Subsampling

05 Analyzing Experiments with Replication and Subsampling

06 Multiple Comparsions - the False Discovery Problem

06 Multiple Comparsions - the False Discovery Problem

07 Multiple Comparisons - Four Comparison Methods in JMP

07 Multiple Comparisons - Four Comparison Methods in JMP

08 Multiple Comparisons - Subsampling, ANOM, B-H FDR

08 Multiple Comparisons - Subsampling, ANOM, B-H FDR

09 Blocking Designs for 1 Factor

09 Blocking Designs for 1 Factor

10 General Factorial Experiments part 1

10 General Factorial Experiments part 1

11 General Factorial Experiments Part 2

11 General Factorial Experiments Part 2

12 2^k Factorials: Analysis and Interactions

12 2^k Factorials: Analysis and Interactions

13 2^k Factorials: Analyzing Unreplicated Designs

13 2^k Factorials: Analyzing Unreplicated Designs

14 2^k Factorials: JMP Screening Platform

14 2^k Factorials: JMP Screening Platform

15 2^k Factorials: Center Points and Lack of Fit

15 2^k Factorials: Center Points and Lack of Fit

16 2^k Factorials: Prediction Profiler and Desirability Functions

16 2^k Factorials: Prediction Profiler and Desirability Functions

17 2^k Factorials: Generating Designs in JMP

17 2^k Factorials: Generating Designs in JMP

19 Fractional Factorial Designs Part 1

19 Fractional Factorial Designs Part 1

20 Analyzing 2^K-P Designs and Resolving Aliases

20 Analyzing 2^K-P Designs and Resolving Aliases

21 Sequential Experimentation with 2^k-p Designs

21 Sequential Experimentation with 2^k-p Designs

22 Augmenting Designs, Creating 2^k-p Designs in JMP

22 Augmenting Designs, Creating 2^k-p Designs in JMP

23 Incomplete Block Designs

23 Incomplete Block Designs

24 Basic Mixture Design Concepts

24 Basic Mixture Design Concepts

25 Mixture Models and Analysis

25 Mixture Models and Analysis

27 Mixture Designs with Regional Constraints

27 Mixture Designs with Regional Constraints

26 Analyzing Mixture Designs with Forward Selection

26 Analyzing Mixture Designs with Forward Selection

28 Safety Flare Case Study

28 Safety Flare Case Study

29 Creating Mixtures in JMP

29 Creating Mixtures in JMP

30 Partial Aliasing, Model Matrix, Alias Matrix

30 Partial Aliasing, Model Matrix, Alias Matrix

31 Plackett Burman Designs

31 Plackett Burman Designs

32 The Extraction Experiment

32 The Extraction Experiment

33 D optimal and Alias Optimal Screening Designs

33 D optimal and Alias Optimal Screening Designs

34 Under/Over Fitting, Effect Sparsity

34 Under/Over Fitting, Effect Sparsity

35 Forward Selection Analysis

35 Forward Selection Analysis

36 All Possible Models Analysis

36 All Possible Models Analysis

37 Augmenting & Optimizing: the Extraction DOE

37 Augmenting & Optimizing: the Extraction DOE

38 Definitive Screening Designs

38 Definitive Screening Designs

39 Analyzing DSDs

39 Analyzing DSDs

40 Response Surface Methods Part 1

40 Response Surface Methods Part 1

41 Response Surface Methods Part 2

41 Response Surface Methods Part 2