9781498721400-1498721400-Statistics for Biotechnology Process Development

Statistics for Biotechnology Process Development

ISBN-13: 9781498721400
ISBN-10: 1498721400
Edition: 1
Author: Harry Yang, Todd Coffey
Publication date: 2018
Publisher: Chapman and Hall/CRC
Format: Unknown Binding 358 pages
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Book details

ISBN-13: 9781498721400
ISBN-10: 1498721400
Edition: 1
Author: Harry Yang, Todd Coffey
Publication date: 2018
Publisher: Chapman and Hall/CRC
Format: Unknown Binding 358 pages

Summary

Statistics for Biotechnology Process Development (ISBN-13: 9781498721400 and ISBN-10: 1498721400), written by authors Harry Yang, Todd Coffey, was published by Chapman and Hall/CRC in 2018. With an overall rating of 3.5 stars, it's a notable title among other Bioengineering (Engineering) books. You can easily purchase or rent Statistics for Biotechnology Process Development (Unknown Binding) from BooksRun, along with many other new and used Bioengineering books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

Written specifically for biotechnology scientists, engineers, and quality professionals, this book describes and demonstrates the proper application of statistical methods throughout Chemistry, Manufacturing, and Controls (CMC). Filled with case studies, examples, and easy-to-follow explanations of how to perform statistics in modern software, it is the first book on CMC statistics written primarily for practitioners. While statisticians will also benefit from this book, it is written particularly for industry professionals who don’t have access to a CMC statistician or who want to be more independent in the design and analysis of their experiments.

  • Provides an introduction to the statistical concepts important in the biotechnology industry
  • Focuses on concepts with theoretical details kept to a minimum
  • Includes lots of real examples and case studies to illustrate the methods
  • Uses JMP software for implementation of the methods
  • Offers a text suitable for scientists in the industry with some quantitative training

Written and edited by seasoned veterans of the biotechnology industry, this book will prove useful to a wide variety of biotechnology professionals. The book brings together individual chapters that showcase the use of statistics in the most salient areas of CMC.

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