Applications of principal component analysis (PCA) in food science and technology

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Scientific › peer-review

Original language	English
Title of host publication	Mathematical and statistical methods in food science and technology
Editors	Daniel Granato, Gastón Ares
Place of Publication	Chichester
Publisher	Wiley-Blackwell
Publication date	2014
Pages	57-86
ISBN (Print)	978-1-118-43368-3
Publication status	Published - 2014
MoE publication type	A3 Book chapter

Keywords

@inbook{d9fece62922d4b528a0d2a73c0e1044d,

title = "Applications of principal component analysis (PCA) in food science and technology",

keywords = "112 Statistics and probability, KOTA2014",

author = "Aurea Gran{\'e} and Agnieszka Jach",

year = "2014",

language = "English",

isbn = "978-1-118-43368-3",

pages = "57--86",

editor = "Granato, { Daniel} and Gast{\'o}n Ares",

booktitle = "Mathematical and statistical methods in food science and technology",

publisher = "Wiley-Blackwell",

address = "United Kingdom",

}

Applications of principal component analysis (PCA) in food science and technology. / Grané , Aurea; Jach, Agnieszka.
Mathematical and statistical methods in food science and technology. ed. / Daniel Granato; Gastón Ares. Chichester: Wiley-Blackwell, 2014. p. 57-86.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Scientific › peer-review

TY - CHAP

T1 - Applications of principal component analysis (PCA) in food science and technology

AU - Grané , Aurea

AU - Jach, Agnieszka

PY - 2014

Y1 - 2014

KW - 112 Statistics and probability

KW - KOTA2014

M3 - Chapter

SN - 978-1-118-43368-3

SP - 57

EP - 86

BT - Mathematical and statistical methods in food science and technology

A2 - Granato, Daniel

A2 - Ares, Gastón

PB - Wiley-Blackwell

CY - Chichester

ER -