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.

What's New

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!

Graphs

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

Interface

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

Designs

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

Modeling

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)

Analysis

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

Diagnostics

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

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