Statistics made easy ®
Make breakthrough improvements to a product or a process with Design-Expert software. You can not only screen for vital factors, but also locate ideal process settings for top performance and discover optimal product formulations. Easily view response surfaces from all angles with rotatable 3D plots. Set flags and explore contours on interactive 2D graphs; and use the numerical optimization function to find maximum desirability for dozens of responses simultaneously.
Stat-Ease, Inc. welcomes you to version 10 of Design-Expert software (DX10) for design of experiments (DOE). Use this Windows®-based program to optimize your product or process. It provides many powerful statistical tools, such as:
- Two-level factorial screening designs: Identify the vital factors that affect your process or product so you can make breakthrough improvements.
- General factorial studies: Discover the best combination of categorical factors, such as source versus type of raw material supply.
- Response surface methods (RSM): Find the optimal process settings to achieve peak performance.
- Mixture design techniques: Discover the ideal recipe for your product formulation.
- Combinations of process factors, mixture components, and categorical factors: Mix your cake (with different ingredients) and bake it too!
- Design and analysis of split plots: Make your experiment far easier by grouping hard-to-change process factors and/or mixture components.
Your Design-Expert program offers rotatable 3D plots to easily view response surfaces from all angles. Use your mouse to set flags and explore the contours on interactive 2D graphs. Our numerical optimization function finds maximum desirability for dozens of responses simultaneously!
You’ll find a wealth of statistical details within the program itself via various Help screens. Take advantage of this information gold mine that is literally at your fingertips. Also, do not overlook the helpful annotations provided on all reports.
For a helpful collection of checklists and “cheat sheets,” see the Handbook for Experimenters. It’s free to all registered users. Furthermore, for quick primers on the principles of design and analysis, we recommend you read the following two soft-cover books from Stat-Ease Principals Mark Anderson and Pat Whitcomb, published by Productivity Press of New York city:
- DOE Simplified: Practical Tools for Effective Experimentation,3rd Edition
- RSM Simplified: Optimizing Processes Using Response Surface Methods for Design of Experiments.
Anderson and Whitcomb have also written a Primer on Mixture Design. It’s posted free for all to read via the “I’m a Formulator” link on the Stat-Ease home page.
Go to http://www.statease.com/prodbook.html for details and ordering information on the books listed above.
Those of you who’ve used previous versions of Design-Expert software will be impressed with the many improvements in Version 10. Do not hold off: Upgrade now!
Here are the highlights:
Graphs greatly upgraded to more quickly get you the picture of your experimental outcome
- Multiple Graphs view (factor profiler): Seeing effects from input variables side by side shouts out their relative impacts.
- All Reponses choice in Numerical Optimization: Compare side by side the overall desirability with the individual optimum results so you get the complete view from the peak of performance.
User interface far more engaging
- Design Wizard provides guidance for less sophisticated users: If you are not sure where to start with your experiment, follow through with this short series of questions to get an answer.
- Expanded Undo/Redo option in Design Layout with new viewer toolbox: Oops, you typed in the wrong number, but now that is no problem: get a do-over by pressing the undo button.
Computational capabilities greatly improved
- 64-bit version now available: Take full advantage of the technology built into your CPU for faster performance for statistical calculations, rendering of graphics and so forth.
- Math engine retooled for far-faster computations: Why wait?
- Optimal builds now run in parallel making them 3 to 17 times faster: Smart!
- Designs no longer limited to 32K runs: This frees up very large experiments done via computer simulations or with robotic apparatus.
Many designs added and made more versatile
- Optimal split plots for Response Surface and Combined (mixture-process) designs: Make it far easier as a practical matter to experiment when some factors cannot be easily randomized, e.g., first mix your cakes by batches (hard) and then bake them at varying temperatures (hard) for differing times (easy).
- Blocking for Definitive Screening Designs (DSDs): DSDs offer a fast track to optimization (thus in v10 they are provided on the Response Surface tab)—these newly-invented designs are now even better with the option to break them up into blocks.
- Restricted Randomization Central Composite Designs (CCD): Convert this tried and true response surface method (RSM) design into a split plot so it can deal with hard-to-change factors.
- Historical data choice for Combined designs: Take advantage of all the tools in Design-Expert— evaluation, model fitting, statistics, diagnostics, graphing and numerical optimization—to see if a sweet spot can be found in your collection of happenstance data, even if it includes both process factors and mixture components.
- Power and sample size calculator for binomial responses during build: Design an experiment with sufficient runs to be fairly certain that you will not overlook an important discovery.
Modeling tools supercharged
- Definitive Screening Designs (DSD) moved to the Response Surface tab where it can be analyzed as a supersaturated matrix for quadratic modeling: DSDs provide a potential shortcut from screening through optimization, so this is a good place to put them—paving the way to apply Design-Expert’s powerful tools for regression modeling.
- AICc, BIC and Adjusted R-squared criteria in algorithmic selection: Take advantage of refinements developed by statisticians to produce a better predictive model.
- Automatic Model Selection tool for choosing Criterion and Selection method: Let Design-Expert work out what approach will be best depending on type of experiment you conducted.
Last, But Not Least—Many More Features in Design-Expert v10!
- Interactive LSD (least significant difference) bars
- Improved flexibility in sizing and placement of flags on graphs
- Show ignored values on Predicted vs Actual graphs
- Ability to turn off the factor names on plots
- Select a point after adding a comment on a graph
- Smoother scrolling of reports and spreadsheets
- Enhanced copy-paste for equations
- Improved export to Excel, Word and Powerpoint
- Support for different decimal point characters (localization)
- LOESS Tool for Fit line in Graph Columns
- Improved Graph Columns correlation grid tool with more intuitive layout
- Enhanced constraint tool with simplified result equations and a clear button
- Remember and restore position in design layout when returning to view
- Insert runs both before and after the selected run
- Double-click to resize reports
- Splash screen upon start (replaces About Box)
- Watermark added to example pictures on the transformation screen
- Better handling of progress bars including threading
- New expanded and redesigned Evaluation Report for split-plot designs
- Run column “Reorder as currently displayed” option for split-plot designs
- Column sort from View menu for Design Layout
- Variance ratio displayed on the power response-entry screen for split-plots
- Select by Degree option prioritizes the criteria comparisons by term order
- Model Selection Log in Automatic Model Selection and in ANOVA
- Likelihood ratio p-values for split-plot designs
- Forward selection for REML/ML analysis
- Aliases reported and selectable in Effects List (makes Alias List unnecessary)
- Curvature term removed for DSDs (or other SDs that model squared terms)
- Option to ignore groups for split-plot designs
- Equations section on the split-plot ANOVA
- Split-plot designs analyzed using either Maximum Likelihood (ML) or REML
- Tolerance Intervals for predictions in split-plot designs
- VIFs in split-plot ANOVA
- Adjustable REML/ML stopping rule and maximum iterations
- Negative variances excluded when calculating REML/ML
- Variance components in mixed-models zeroed out below a threshold
- Improved computation of R2 in split-plot designs
- Block variance no longer included when calculating LSD values
- Option to choose between one-sided and two-sided tests for intervals
- New toolbox to view the V-matrix used in Mixed Model calculations
- Box-Cox plot for mixed models, e.g., split plots
- Externally studentized residuals and influence graphs for mixed models (Cook’s Distance, DFFITS, Covariance Trace and Covariance Ratio)
- Limit lines on diagnostic graphs labeled
- Footnote to Diagnostics report indicates why deletion statistics not displayed
- Color by Group in the Residual vs Factor diagnostic graph
- Control limit defaults values for DFFITs and DFBETAs with option not to display on graph
- Better footnoting in Diagnostics Report
|Design-Expert 10 (Single User or Network Client)|
|Hard Drive||250 MB free space|
|Server for Network Version (License Manager)|
|Hard Drive||100 MB disk space|
|Operating System||On a server:
Or a computer:
Network version requires installation of the Reprise License Manager (RLM) as a service.
May be installed on a virtual server that is assigned a static ethernet MAC address.
Data and simulation files associated with the tutorials need to be downloaded separately.
There are a few DX8 tutorials noted below that will be replaced by DX9 versions as they become available.
|Tutorials (DX & DE)||Size||Description|
|General Multilevel-Categoric One-Factor||1.99 MB||Build and analyze a one-factor factorial design, “Bowling”|
|General Multilevel-Categoric Factorial||1.73 MB||Build and analyze a three-level design with factorial analysis, “Battery” [Battery.simx]|
|Two-Level Factorial||2.64 MB||Two-level factorial design, “Filtrate” [Filtrate.simx]|
|Foldover Designs||1.24 MB||Augment a factorial design by foldover (DX8 tutorial) [Biker.dxp]|
|Taguchi Designs||641.36 KB||Taguchi designs (DX8 tutorial) [Taguchi-L16.dxp]|
|Split-Plot General Multilevel-Categoric Factorial||1.03 MB||Build and analyze a split-plot factorial design, “Pulp” [Pulp.simx]|
|Tutorials (DX Only)||Size||Description|
|One Factor RSM||1.86 MB||Build and analyze a one-factor RSM design, “Driving”|
|Multi-Factor RSM||3.46 MB||Multifactor response surface, “RSM” [RSM.dxpx & RSM-a.dxpx]|
|Optimal Numeric||1.05 MB||Adding multifactor constraints to an optimal design|
|Mixture Designs||2.64 MB||Build and analyze a simplex-lattice design, “Mix” [Mix.dxpx & Mix-a.dxpx]|
|Combined Mixture-Process||1.65 MB||Build and analyze a mixture design with process factors, “Fish Patties” [Fish Patties.simx]|
|Optimal Categoric||1.28 MB||Adding categoric factors to an optimal design (DX8 tutorial) [Peel.dxp]|
|Historical RSM||824.21 KB||Analysis of highly correlated data, “Longley” (DX8 tutorial) [Longley.dxp]|
|Simple Sample||416.36 KB||How to use simple sample designs [Simple Sample-Motor Shaft.dxpx]|
|Split-Plot Factorial||698.29 KB||How to build a factorial split-plot [PCR with data.dxpx & PCR.simx]|
|Split-Plot Optimal||298.23 KB||How to build an optimal split-plot [PCR as Optimal Build (starter).dxpx]|
|Verification Runs||455.64 KB||How to use verification runs [RSM-a.dxpx] (DX9 Only)|
|Confirmation Runs||323.3 KB||How to enter confirmation runs [RSM-a.dxpx] (DX9 Only)|
|What’s new in version 9?||1.82 MB||Illustrated highlights of new features in Design-Expert 9|
|New Factorial Design Builder||370.85 KB||DX9 factorial design builder: screenshots and comparison to DX8|
|Design-Expert 9 Tutorials||24.28 MB||Installs all Design-Expert tutorials and data files.|
|Design-Ease 9 Tutorials||10.81 MB||Installs all Design-Ease tutorials and data files.|
|Help||Video tutorial help and navigation tips|
|1||Building a 2-level factorial and sorting data|
|2||Analyzing the data in a 2-level factorial|
|3||Exploring the model graphs|
|4||Finding the optimum settings and confirming the model|
|1||Building and Analyzing an Optimal Mixture Design|
Design-Expert® (and Design-Ease®) software is published by Stat-Ease, Inc., Minneapolis, MN USA (www.statease.com).