Mathematical and Statistical Methods in Food Science and Technology
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Published By John Wiley & Sons, Ltd

9781118434635, 9781118433683

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

Mathematical and Statistical Methods in Food Science and Technology ◽

10.1002/9781118434635.ch5 ◽

2013 ◽

pp. 55-86 ◽

Cited By ~ 2

Author(s):

Aurea Grané ◽

Agnieszka Jach

Keyword(s):

Principal Component Analysis ◽

Science And Technology ◽

Principal Component ◽

Component Analysis ◽

Food Science

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Application of multivariate statistical methods during new product development - Case study: Application of principal component analysis and hierarchical cluster analysis on consumer liking data of orange juices

Mathematical and Statistical Methods in Food Science and Technology ◽

10.1002/9781118434635.ch11 ◽

2013 ◽

pp. 187-200

Author(s):

Paula Varela

Keyword(s):

Principal Component Analysis ◽

Cluster Analysis ◽

Product Development ◽

New Product Development ◽

Hierarchical Cluster Analysis ◽

Principal Component ◽

Hierarchical Cluster ◽

Multivariate Statistical ◽

Study Application

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Case study: Statistical analysis of eurycomanone yield using a full factorial design

Mathematical and Statistical Methods in Food Science and Technology ◽

10.1002/9781118434635.ch04 ◽

2013 ◽

pp. 43-54

Author(s):

Azila Abdul-Aziz ◽

Harisun Yaakob ◽

Ramlan Aziz ◽

Roshanida Abdul Rahman ◽

Sulaiman Ngadiran ◽

...

Keyword(s):

Statistical Analysis ◽

Factorial Design ◽

Full Factorial Design ◽

Full Factorial

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Development and application of predictive microbiology models in foods

Mathematical and Statistical Methods in Food Science and Technology ◽

10.1002/9781118434635.ch18 ◽

2013 ◽

pp. 321-362 ◽

Cited By ~ 2

Author(s):

Fernando Pérez-Rodríguez

Keyword(s):

Predictive Microbiology

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The use of correlation, association and regression to analyse processes and products

Mathematical and Statistical Methods in Food Science and Technology ◽

10.1002/9781118434635.ch02 ◽

2013 ◽

pp. 19-30

Author(s):

Daniel Cozzolino

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The use and importance of design of experiments (DOE) in process modelling in food science and technology

Mathematical and Statistical Methods in Food Science and Technology ◽

10.1002/9781118434635.ch1 ◽

2013 ◽

pp. 1-18 ◽

Cited By ~ 5

Author(s):

Daniel Granato ◽

Verônica Maria de Araújo Calado

Keyword(s):

Design Of Experiments ◽

Science And Technology ◽

Process Modelling ◽

Food Science

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Statistical modelling of anthropometric characteristics evaluated on nutritional status

Mathematical and Statistical Methods in Food Science and Technology ◽

10.1002/9781118434635.ch16 ◽

2013 ◽

pp. 285-302 ◽

Cited By ~ 1

Author(s):

Zelimir Kurtanjek ◽

Jasenka Gajdos Kljusuric

Keyword(s):

Nutritional Status ◽

Statistical Modelling ◽

Anthropometric Characteristics

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Effects of paediatric obesity: a multivariate analysis of laboratory parameters

Mathematical and Statistical Methods in Food Science and Technology ◽

10.1002/9781118434635.ch17 ◽

2013 ◽

pp. 303-320

Author(s):

Tamas Ferenci ◽

Levente Kovacs

Keyword(s):

Multivariate Analysis ◽

Laboratory Parameters ◽

Paediatric Obesity

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Infrared spectroscopy detection coupled to chemometrics to characterize foodborne pathogens at a subspecies level

Mathematical and Statistical Methods in Food Science and Technology ◽

10.1002/9781118434635.ch20 ◽

2013 ◽

pp. 385-418

Author(s):

Clara C. Sousa ◽

João A. Lopes

Keyword(s):

Infrared Spectroscopy ◽

Foodborne Pathogens ◽

Subspecies Level

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The use of correlation, association and regression to analyse processes and products

Mathematical and Statistical Methods in Food Science and Technology ◽

10.1002/9781118434635.ch2 ◽

2013 ◽

pp. 19-30

Author(s):

Daniel Cozzolino

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Mathematical and Statistical Methods in Food Science and TechnologyLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By John Wiley & Sons, Ltd

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

Application of multivariate statistical methods during new product development - Case study: Application of principal component analysis and hierarchical cluster analysis on consumer liking data of orange juices

Case study: Statistical analysis of eurycomanone yield using a full factorial design

Development and application of predictive microbiology models in foods

The use of correlation, association and regression to analyse processes and products

The use and importance of design of experiments (DOE) in process modelling in food science and technology

Statistical modelling of anthropometric characteristics evaluated on nutritional status

Effects of paediatric obesity: a multivariate analysis of laboratory parameters

Infrared spectroscopy detection coupled to chemometrics to characterize foodborne pathogens at a subspecies level

The use of correlation, association and regression to analyse processes and products

Mathematical and Statistical Methods in Food Science and Technology
Latest Publications