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Mathematical and statistical methods in food science and technology / edited by Daniel Granato and Gastón Ares ; Azila Abdul-Aziz [and fifty others], contributors. [electronic resource]

Contributor(s): Material type: TextTextSeries: IFT Press seriesPublisher: Chichester, England : Wiley-Blackwell, 2014Copyright date: ©2014Description: 1 online resource (533 pages)ISBN:
  • 9781118434567 (e-book)
Subject(s): Genre/Form: Additional physical formats: Print version:: Mathematical and statistical methods in food science and technology.DDC classification:
  • 664/.07 23
LOC classification:
  • TX541 .M384 2014
Online resources:
Holdings
Item type Current library Call number Status Date due Barcode
Ebook TUS: Midlands, Main Library Athlone Online eBook (Browse shelf(Opens below)) Available

Includes bibliographical references at the end of each chapters and index.

Description based on print version record.

Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.

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