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Design Of Experiments For Chemical Pharmaceutical Food And Industrial Applications Eugenia Gabriela Carrillocedillo

  • SKU: BELL-33590206
Design Of Experiments For Chemical Pharmaceutical Food And Industrial Applications Eugenia Gabriela Carrillocedillo
$ 31.00 $ 45.00 (-31%)

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Design Of Experiments For Chemical Pharmaceutical Food And Industrial Applications Eugenia Gabriela Carrillocedillo instant download after payment.

Publisher: Engineering Science Reference
File Extension: PDF
File size: 15.81 MB
Pages: 460
Author: Eugenia Gabriela Carrillo-Cedillo, José Antonio Rodríguez-Avila, Karina Cecilia Arredondo-Soto, José Manuel Cornejo-Bravo
ISBN: 9781799815181, 1799815188
Language: English
Year: 2019

Product desciption

Design Of Experiments For Chemical Pharmaceutical Food And Industrial Applications Eugenia Gabriela Carrillocedillo by Eugenia Gabriela Carrillo-cedillo, José Antonio Rodríguez-avila, Karina Cecilia Arredondo-soto, José Manuel Cornejo-bravo 9781799815181, 1799815188 instant download after payment.

Statistics is a key characteristic that assists a wide variety of professions including business, government, and factual sciences. Companies need data calculation to make informed decisions that help maintain their relevance. Design of experiments (DOE) is a set of active techniques that provides a more efficient approach for industries to test their processes and form effective conclusions. Experimental design can be implemented into multiple professions, and it is a necessity to promote applicable research on this up-and-coming method. Design of Experiments for Chemical, Pharmaceutical, Food, and Industrial Applications is a pivotal reference source that seeks to increase the use of design of experiments to optimize and improve analytical methods and productive processes in order to use less resources and time. While highlighting topics such as multivariate methods, factorial experiments, and pharmaceutical research, this publication is ideally designed for industrial designers, research scientists, chemical engineers, managers, academicians, and students seeking current research on advanced and multivariate statistics.

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