Principles of Multivariate Analysis
By B. Everitt, Wojtek Janusz Krzanowski. 2001
1,059 citations recorded by the source corpus.
Subfields: Food Science, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/1434dc92062ec138165a9c2e1ff2c0661149466b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Food Science
- Thomas F. A. Bishop
- R. M. Lark
- E. Ieno
- Barbara Penna
- Tammam Tillo
- Heikki Mannila
- Gabriella Olmo
- Dietrich von Rosen
In Statistics and Probability
- Shira Kritchman
- Boaz Nadler
- Thomas F. A. Bishop
- N. Cocu
- Aaron F. Alexander-Bloch
- Raymond Salvador
- Damien Maurice
- R. M. Lark
Citations in the corpus
- Determining the number of components in a factor model from limited noisy data (2008, methodology): “Our algorithm is thus intimately related to Roy’s largest root test [31, 16], with one additional key component - an accurate estimation of noise level.”
- A novel variable reduction method adapted from space-filling designs (2014, methodology): “It determines a linear transformation, based on translation, reflection, orthogonal rotation, and scaling, of the points in the first data set to best conform them to the points in the second data set [19–21].”
- Cokriging particle size fractions of the soil (2007, methodology): “We therefore used a robust estimator of the auto- and cross-variograms, ĝu;vðhÞ proposed by Lark (2003) in addition to the standard estimators (Webster & Oliver, 2001).”
- Neurophysiological architecture of functional magnetic resonance images of human brain. (2005, methodology): “…visualization of the positive semidefinite dissimilarity matrix: hierarchical cluster analysis with an average linkage agglomerative algorithm (Krzanowski, 1988; see also Cordes et al., 2002, and Stanberry et al., 2003, for examples of prior applications of hierarchical cluster analysis in…”
- Non-Parametric Detection of the Number of Signals: Hypothesis Testing and Random Matrix Theory (2009, methodology): “Hence, the optimal procedure to detect a single signal is closely related to Roy’s largest root test for sphericity, originally derived by the unionintersection principle [22], [16].”
- Multimedia content processing through cross-modal association (2003, background): “It can be shown [15] that such matrices are given by:”
- Biogeography of European land mammals shows environmentally distinct and spatially coherent clusters (2007, methodology): “We used one-way anova (Krzanowski, 1988; Rencher, 2002) to test whether the generated clusters differ significantly in the values of environmental variables.”
- Environmental change and the phenology of European aphids (2007, methodology): “Canonical variate analyses (CVA; Krzanowski, 1988) were used to analyse the binary data set representing presence/absence of explanatory variables in the final models for each species.”
- Automated sleep stage identification system based on time-frequency analysis of a single EEG channel and random forest classifier (2012, methodology): “he performance of the proposed method was evaluated using he sensitivity (SE), specificity (SP), and accuracy (AC) of clasification [31] calculated respectively, are as follows:”
- Analysing Ecological Data (2007, methodology): “The biplot can be used in combination with CA (Krzanowski 1988; Gabriel and Odoroff 1990; Greenacre 1993; Gabriel 1995; Ter Braak and Verdonschot 1995; Jongman et al. 1995; Gower and Hand 1996; Legendre and Legendre 1998; Jolliffe 2002).”