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Tormod Naes

Tormod Naes Tormod Naes is a Professor of Statistics at Nofima (The Norwegian Institute of Food, Fisheries and Aquaculture Research) and has experience in both method development and applications within a large number of areas the most important being spectroscoy, process optimisation, product development and sensory science. He has co-authored and co-edited six books in the areas of chemometrics, statistics and sensory science. Read More Read Less

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1.
Statistics for Sensory and Consumer Science
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₹8,202
Binding:
Hardback
Release:
18 Jun 2010
Language:
English
Available
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2.
Individual Differences in Sensory and Consumer Science45 %
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₹20,103
₹11,057
Binding:
Hardback
Release:
23 Feb 2018
Language:
English
Available
Ships within 16-18 Days Explain..
3.
Multiblock Data Fusion in Statistics and Machine Learning46 % NR
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₹16,283
₹8,793
Binding:
Hardback
Release:
28 Apr 2022
Language:
English
International Edition
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6.
Statistics for Sensory and Consumer Science
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₹14,235
Binding:
Digital (delivered electronically)
Release:
08 Jun 2010
Language:
English
Out of Stock
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7.
Analysis of Variance for Sensory Data
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₹17,682
Binding:
Digital (delivered electronically)
Release:
21 Nov 2000
Language:
English
Out of Stock
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8.
Statistics for Sensory and Consumer Science
No Review Yet
₹14,235
Binding:
Digital (delivered electronically)
Release:
20 Jun 2011
Language:
English
Out of Stock
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9.
Statistics for Sensory and Consumer Science
No Review Yet
₹14,235
Binding:
Digital (delivered electronically)
Release:
20 Jun 2011
Language:
English
Out of Stock
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10.
A User-friendly Guide to Multivariate Calibration and Classification
Publisher: NIR Publications
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₹5,389
Binding:
Hardback
Release:
01 Jan 2002
Language:
English
Out of Stock
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11.
Statistics for Sensory and Consumer Science
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₹9,112
Binding:
Other digital
Release:
05 Jul 2010
Language:
English
Out of Stock
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12.
A User-Friendly Guide to Multivariate Calibration and Classification
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₹6,984
Binding:
Digital (delivered electronically)
Release:
06 Apr 2017
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13.
A User-Friendly Guide to Multivariate Calibration and Classification
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