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Stat-Ease Design-Expert v10.0.2.0 x86 Software
 
Stat-Ease Design-Expert v10.0.2.0 x86 + tutorials

Stat-Ease Design-Expert v10.0.2.0 x86

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!
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.
More info.
   Читать статью дальше  (комментариев - 4)


Stat-Ease Design-Expert v10.0.0.3 Software
 
Stat-Ease Design-Expert v10.0.0.3 x64 + tutorials

Stat-Ease Design-Expert v10.0.0.3

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!
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.
More info.
   Читать статью дальше  (комментариев - 9)


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