Strategies for Formulations Development | A Step-by-Step Guide Using JMP. This item is unavailable.
Language: English
Published by SAS Institute, 2016
- Softcover
- New

Condition: New
£ 66.39
Item description from seller
Strategies for Formulations Development | A Step-by-Step Guide Using JMP | Ronald Snee (u. a.) | Taschenbuch | Kartoniert / Broschiert | Englisch | 2016 | SAS Institute | EAN 9781629596709 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Seller Inventory # 103328163
- Title
- Strategies for Formulations Development | A Step-by-Step Guide Using JMP
- Author
- Ronald Snee (u. a.)
- Publisher
- SAS Institute
- Publication year
- 2016
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 1629596701
- ISBN 13
- 9781629596709
- Item weight
- 554 grams
- Dimensions
- 235 x 191 x 17 mm
- Seller catalogs
- Bücher
With this book you will be able to:
- Approach the development process from a strategic viewpoint with the overall end result in mind.
- Design screening experiments to identify components that are most important to the performance of the formulation.
- Design optimization experiments to identify the maximum response in the design space.
- Analyze both screening and optimization experiments using graphical and numerical methods.
- Optimize multiple criteria, such as the quality, cost, and performance of product formulations.
- Design and analyze formulation studies that involve both formulation components and process variables using methods that reduce the required experimentation by up to 50%.
Strategies for Formulations Development: A Step-by-Step Guide Using JMP is unique because it provides formulation scientists with the essential information they need in order to successfully conduct formulation studies in the chemical, biotech, and pharmaceutical industries.
"Synopsis" may belong to another edition of this title.
About the Author
Roger W. Hoerl, PhD, is the Brate-Peschel Assistant Professor of Statistics at Union College in Schenectady, NY. Previously he led the Applied Statistics Lab at GE Global Research. While at GE he led a team of statisticians, applied mathematicians, and computational financial analysts who worked on some of GEa (TM)s most challenging research problems, such as developing personalized medicine protocols, enhancing the reliability of aircraft engines, and management of risk for a half a trillion dollar portfolio. He is a Fellow of the American Statistical Association and the American Society for Quality, and he has been elected to the International Statistical Institute and the International Academy for Quality.
"About the title" may belong to another edition of this title.