SYSTEMS AND METHODS FOR PRESENTING RESULTS OF EXPERIMENTS

• US 20120075322A1
• Filed: 09/29/2010
• Published: 03/29/2012
• Est. Priority Date: 09/29/2010
• Status: Active Grant

• Current Assignee: MoreSteam.com LLC
• Original Assignee: MoreSteam.com LLC
• Inventors: Hathaway, William M., Skrivanek, Smita Kulkarni
• Granted Patent: US 9,007,375 B2
• Time in Patent Office: Days
• US Class Current: 345/589
• CPC Class Codes: G06T 11/206 Drawing of charts or graphs

Abstract

A method of automatically analyzing data from at least one data set including a plurality of process factors of interest and a process output of interest to determine the relationship between the factors of interest and the output of interest at a given significance level and preserving model hierarchy. The method uses a computer to carry out the steps of calculating the effects of the factors of interest against the process output of interest, developing a model including the significant factors of interest and respective estimated coefficients and omitting the insignificant factors of interest, generating a representation of the model, and generating at least one graphical representation of the factors of interest. The graphical representation provides a first representation corresponding to factors of interest identified as significant and a second representation corresponding to factors of interest identified as insignificant. Calculating the effects includes calculating at least one of an analysis of variance test testing the significance of the individual effect of each factor of interest, coefficients and effect estimates for each factor of interest, and model comparison statistics, and identifying the factors of interest having significant effects relative to the given significance level and model hierarchy.

Claims

1. A method of automatically analyzing data from at least one data set including a plurality of process factors of interest and a process output of interest to determine the relationship between the factors of interest and the output of interest at a given significance level and preserving model hierarchy, the method comprising using a computer to carry out the steps of:

calculating the effects of the factors of interest against the process output of interest, including

calculating at least one of

an analysis of variance test testing the significance of the individual effect of each factor of interest,

coefficients and effect estimates for each factor of interest, and

model comparison statistics, and

identifying the factors of interest having significant effects relative to the given significance level and model hierarchy;

developing a model including the significant factors of interest and respective estimated coefficients and omitting the insignificant factors of interest;

generating a representation of the model; and

generating at least one graphical representation of the factors of interest, the graphical representation providing a first representation corresponding to factors of interest identified as significant and a second representation corresponding to factors of interest identified as insignificant.

2. The method of claim 1, further comprising automatically determining the relationship between the factors of interest and a second output of interest at a given significance level and preserving model hierarchy.

3. The method of claim 1, wherein the at least one graphical representation of the factors of interest includes a half normal graph.

4. The method of claim 1, wherein the at least one graphical representation of the factors of interest includes a Pareto chart.

5. The method of claim 1, further comprising displaying, at least one graphical representation of the factors of interest, the factors of interest identified as significant in a first color and displaying the factors of interest identified as insignificant in a second color, the first color different from the second color.

6. The method of claim 1, further comprising displaying, at least one graphical representation of the factors of interest, the factors of interest identified as significant in a first shape and displaying the factors of interest identified as insignificant in a second shape, the first shape different from the second shape.

7. The method of claim 1, further comprising displaying, at least one graphical representation of the factors of interest, the factors of interest identified as significant in a first color and a first shape and displaying the factors of interest identified as insignificant in a second color and a second shape, the first color different from the second color and the first shape different from the second shape.

8. The method of claim 1, further comprising grouping the factors of interest identified as significant together on the at least one graphical representation of the factors of interest.

9. The method of claim 1, wherein the method is performed by an add-in of spreadsheet program.

10. The method of claim 1, wherein the model and the at least one graphical representation of the factors of interest are displayed on a spreadsheet.

11. A method of automatically analyzing data from at least one data set including a plurality of process factors of interest and a process output of interest to determine the relationship between the factors of interest and the output of interest at a given significance level and preserving model hierarchy, the method comprising using a computer to carry out the steps of:

calculating the effects of the factors of interest against the process output of interest, including

calculating at least one of

an analysis of variance test testing the significance of the individual effect of each factor of interest,

coefficients and effect estimates for each factor of interest, and

model comparison statistics, and

identifying the factors of interest having significant effects relative to the given significance level and model hierarchy; and

developing a model including the significant factors of interest and respective estimated coefficients and omitting the insignificant factors of interest.

12. The method of claim 11, further comprising automatically determining the relationship between the factors of interest and a second output of interest at a given significance level and preserving model hierarchy.

13. The method of claim 12, further comprising developing a second model for the second output of interest including the significant factors of interest and respective estimated coefficients and omitting the insignificant factors of interest.

14. The method of claim 11, further comprising displaying the model in a first worksheet and displaying the second model in a second worksheet.

15. The method of claim 11, wherein the method is performed by an add-in of spreadsheet program.