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"Multiplexed Networks for Embedded Systems: CAN, LIN, Flexray, Safe-by-Wire..." by Dominique Paret (Repost)
Dino Esposito, "Building Web Solutions with ASP.Net and ADO.NET" (Repost)
Learning Core Audio: A Hands-On Guide to Audio Programming for Mac and iOS
Power Performance - Multimedia Storytelling for Journalism and Public Relations
pluralsight-training.net SQL Server: Transact-SQL Basic Data Retrieval [2012, ENG]
pluralsight-training.net SQL Server: Collecting and Analyzing Trace Data [2012, ENG]
Pluralsight.net - Introduction to Nancy-JWARE
Technical Structured Programming with C++
Technical Getting Started with LaTeX by David R. Wilkins
Windows A Third Window - Natural Life beyond Newton and Darwin
PLURALSIGHT.NET WINDOWS 8 METRO CONNECTED APPS-JGTiSO
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PLURALSIGHT.NET INTRODUCTION TO BUILDING WINDOWS 8 METRO APPLICATIONS-JGTiSO
Multimedia over IP and Wireless Networks - Compression, Networking, and Systems
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The Art of Hardware Architecture - Design Methods and Techniques for Digital Circuits
Pro/ENGINEER WILDFIRE 5.0 Tutorial and MultiMedia CD
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Technical Experimental Design for Formulation (Repost)
Posted on 2010-04-14
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More Experimental Design for Formulation Many products, such as foods, personal-care products, beverages, and cleaning agents, are made by mixing ingredients together. This book describes a systematic methodology for formulating such products so that they perform according to one's goals, providing scientists and engineers with a fast track to the implementation of the methodology. Experimental Design for Formulation contains examples from a wide variety of fields and includes a discussion of how to design experiments for a mixture setting and how to fit and interpret models in a mixture setting. It also introduces process variables, the combining of mixture and nonmixture variables in a designed experiment, and the concept of collinearity and the possible problems that can result from its presence. Experimental Design for Formulation is a useful manual for the formulator and can also be used by a resident statistician to teach an in-house short course. Statistical proofs are largely absent, and the formulas that are presented are included to explain how the various software packages carry out the analysis. Many examples are given of output from statistical software packages, and the proper interpretation of computer output is emphasized. Other topics presented include a discussion of an effect in a mixture setting, the presentation of elementary optimization methods, and multiple-response optimization wherein one seeks to optimize more than one response.
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