Product information "DoEStat"
π§ͺ DoEStat β Statistical Design of Experiments (DoE) for professional use
DoEStat is the complete DoE suite for development, formulation and process optimisation: every relevant design type, modern analysis and multi-response optimisation in one Windows application β no add-on modules, no forced cloud. Developed in Germany by statisticians for use in regulated industries.
β Why DoEStat?
π§© One program, start to finish β planning, data entry, analysis, optimisation and report in a single application, with no separately licensed extensions
π Scientifically grounded β every method follows a published standard reference (Montgomery, Myers, Cornell, Box & Hunter, ScheffΓ©, Jones & Nachtsheim β¦); numerical kernels are checked against R and NIST reference data
π Your data stays local β native .NET 9 Windows application, projects are files on your machine or network share, no user account, no cloud
π Switch without losing data β existing Design-Expert projects (.dxpx) import directly, with a preview and a list of notes before anything is taken over
π Bilingual β German and English interface with contextual help and result interpretation
π GxP-ready β validation support with a categorised changelog (Impact on Validation / Numerical Impact / Non-Validation-Relevant)
π Designs β 19 design types, no add-on module
πΉ Screening: full factorial (2k and mixed-level), fractional factorial 2kβp with alias structure and resolution IIIβV, Plackett-Burman, definitive screening (DSD), min-run resolution IV and V
πΉ Response surfaces: central composite (CCD, rotatable / face-centred / inscribed), Box-Behnken
πΉ Optimal designs: D-, A-, I- and G-optimal by coordinate exchange β able to hold already-executed runs fixed
πΉ Mixtures: simplex-lattice, simplex-centroid, extreme vertices (constrained), optimal mixture designs, mixture Γ process, mixture-amount
πΉ Robust & special: Taguchi arrays (L4 β¦ L36), robust parameter design (inner/outer), nested (hierarchical), Latin hypercube
πΉ Split-plot / split-split-plot: hard-to-change factors automatically get their own randomisation stratum
πΉ Augment instead of starting over: fold-over, axial points, lack-of-fit points or a criterion-driven top-up of an existing design
π Analysis β what becomes of the measurements
πΉ Model & fit: regression with ANOVA (RΒ², adjusted RΒ², predicted RΒ²), lack-of-fit test, model selection by AIC/BIC with term hierarchy, Box-Cox transformation, generalised regression (ridge)
πΉ Separating effects: half-normal plot, Pareto chart with t and Bonferroni limits, Lenth PSE, two-stage DSD analysis
πΉ Diagnostics & prediction: studentised residuals, normal Q-Q, leverage, Cook's D, DFFITS, VIF, confidence and prediction intervals, confirmation runs
πΉ Structure & distribution: split-plot and split-split-plot (REML), nested ANOVA, mixed models, binomial & Poisson GLM, mixture ANOVA (ScheffΓ©)
πΉ Optimisation & robustness: desirability (Derringer-Suich), Pareto front, profiler & ramps, overlay / sweet spot, propagation of error (POE), Monte Carlo with defect rate and Cpk, robust parameter design (S/N)
πΉ Evaluating the design: power per effect, replicates from power, D/A/G efficiency, FDS curves, prediction variance, strategy comparison
π 18 charts β from design to optimum
FDS curves, prediction variance, correlation matrix, power curves, half-normal, Pareto, interaction, residuals, normal Q-Q, Box-Cox, contour, 3-D surface, profiler, overlay (sweet spot), ramps, mixture trace, ternary contour, Monte Carlo β all interactive, all produced by DoEStat itself.
π Typical applications
βοΈ Pharma & biotechnology (formulation, process validation, QbD)
βοΈ Chemistry & process engineering
βοΈ Materials science & materials development
βοΈ Food & cosmetics formulations (mixture designs)
βοΈ Manufacturing & process optimisation (robust design, Six Sigma)
βοΈ Universities & research institutions
π Licence models
πΉ Commercial β named-user annual licence, full feature set, e-mail support (EN/DE); volume pricing from 5 licences
πΉ Academic β identical feature set for teaching and non-commercial research (proof of institution required)
πΉ Free trial β 30 days, full feature set, no payment details needed
πΉ After expiry the installation stays usable as a free viewer: open projects, inspect results, export reports (watermarked) β colleagues, reviewers and auditors need no licence of their own
All licences and the trial are available through STATCON β use the request form or write to vertrieb@statcon.de. We are happy to advise on the right licence model and prepare a quote.
π¬ In short: DoEStat β Design of Experiments without compromise
DoEStat brings the complete DoE workflow β from planning to multi-response optimisation β into a modern, local Windows application with a clear licence model. If you work with Design-Expert you will feel at home right away and can bring your projects with you. STATCON supports you as authorised partner in Germany, Austria and Switzerland with sales, training and DoE consulting.
π₯ Try it for free or request a quote:
β‘ Visit the DoEStat product page
β‘ Quote, trial, academic and volume licences: vertrieb@statcon.de or via the request form
DoEStat
π DoEStat product details
πΉ Vendor: DoEStat (Germany)
πΉ Version: 0.4.0
πΉ Platform: Windows 10 (1809 or later) / Windows 11, 64-bit
πΉ Licence model: named-user annual licence
πΉ Licence types: Commercial, Academic
πΉ Languages: English, German
πΉ Delivery: download and licence file by e-mail
πΉ Trial: 30 days, full feature set
πΉ Import: Design-Expert (.dxpx)
πΉ Export: CSV, Markdown, PDF
πΉ Deployment: silent install (Intune, SCCM, winget)
π Designs: full factorial, fractional factorial, Plackett-Burman, definitive screening, min-run IV/V, central composite, Box-Behnken, D-/A-/I-/G-optimal, simplex-lattice, simplex-centroid, extreme vertices, mixture Γ process, mixture-amount, Taguchi, robust parameter design, nested, Latin hypercube, split-plot, split-split-plot
π Analysis: ANOVA with lack-of-fit, model selection (AIC/BIC), Box-Cox, ridge, half-normal, Pareto, Lenth PSE, residual and influence diagnostics, VIF, confidence/prediction intervals, REML (split-plot), nested ANOVA, mixed models, GLM, desirability, Pareto front, profiler, overlay, POE, Monte Carlo, power, FDS
π» DoEStat system requirements
πΉ Operating system: Windows 10 (version 1809 or later) or Windows 11, 64-bit
πΉ Runtime: .NET 9 Desktop Runtime β bundled with the installer
πΉ Charts: Microsoft Edge WebView2 Runtime β preinstalled on current Windows 10/11; on Windows LTSC and Windows Server the installer fetches the Evergreen runtime
πΉ Installation: standard installation in the user profile without administrator rights; silent install for Intune, SCCM or winget for central deployment
πΉ Internet: not required for day-to-day work β computation and project storage are local; only the update check goes online
πΉ Languages: English, German (switchable)
πΉ File formats: DoEStat project (JSON), Design-Expert import (.dxpx), export to CSV, Markdown, PDF