Results 11 to 20 of about 888 (172)
Generalized procrustes analysis
Psychometrika, 1975 Suppose P i (i) (i = 1, 2, ...,m, j = 1, 2, ...,n) give the locations ofmn points inp-dimensional space. Collectively these may be regarded asm configurations, or scalings, each ofn points inp-dimensions.
Gower, J. C.
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A simple alternative to generalized procrustes analysis [PDF]
, 1998 A statistical method for analysing sensory profiling data obtained by means of fixed vocabulary or free choice profiling is discussed. The most interesting feature of this method is that it involves only simple statistical treatment and can therefore be ...
Kunert, Joachim, Qannari, El Mostafa
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Using Generalized Procrustes Analysis (GPA) for normalization of cDNA microarray data [PDF]
BMC Bioinformatics, 2008 Background Normalization is essential in dual-labelled microarray data analysis to remove non-biological variations and systematic biases. Many normalization methods have been used to remove such biases within slides (Global, Lowess) and across slides ...
Trudeau Vance L +4 more
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Generalized Procrustes Analysis: A Tool for Exploring Aggregates and Persons
Applied Multivariate Research, 2009 Gower (1975) introduced Generalized Procrustes Analysis (GPA) as a multivariate statistical technique for analyzing three-dimensional data matrices. The current paper presents a non-technical introduction to the logic underlying GPA and then presents a ...
Assad, Kimberly K. +3 more
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Weighted analysis for missing values in generalized procrustes analysis
Food Quality and Preference, 2000 Generalized Procrustes Analysis (GPA), a popular tool in sensory science, is generally carried out on panelist data matrices averaged over replicates. This paper addresses the problem of missing values arising when panelists miss sessions.
Schipper, M. +5 more
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Using Generalized Procrustes Analysis for Evaluation of Sensory Characteristic Data of Lamb Meat
Turkish Journal of Agriculture: Food Science and Technology, 2019 Generalized Procrustes Analysis (GPA) is a multivariate statistic method that is used at the evaluation of sensory analyses in the food industry. GPA provides benefit in terms of decreasing the difference between the panellists and bringing the data ...
Gazel Ser
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Generalized procrustes analysis (GPA) as a tool to discriminate among sheep breeds [PDF]
Archives Animal Breeding, 2014 Forty male lambs of five Southern Spanish breeds were used to study the effects of the breed in their sensorial characteristics. The used breeds were: Segureña, Spanish Merino, Grazalema Merino, Churra Lebrijana and Montesina breeds.
Alberto Horcada +9 more
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Solving bundle block adjustment by generalized anisotropic Procrustes analysis [PDF]
ISPRS Journal of Photogrammetry and Remote Sensing, 2015 The paper presents a new analytical tool to solve the classical photogrammetric bundle block adjustment. The analytical model is based on the generalized extension of the anisotropic row-scaling Procrustes analysis, that has been recently proposed by the
FUSIELLO, Andrea, CROSILLA, Fabio
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Generalized Procrustes Analysis for Multilingual Studies
, 2019 When the aim is to study the differences among cultures, the comparative cultural studies assume considerable importance. One of the most peculiar aspects of a culture is definitely the language as a medium of communication between people.
Michelangelo Misuraca +3 more
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A simple alternative to Generalized Procrustes Analysis. Application to sensory profiling data [PDF]
Journal of Sensory Studies, 1999 A statistical method for analysing sensory profiling data obtained by means of fixed vocabulary or free choice profiling is discussed. The most interesting feature of this method is that it involves only simple statistical treatment and can therefore be ...
Mostafa Qannari +2 more
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