Applied Multivariate Statistical Methods

By Aaron Nieuwsma. 2005

87 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/afc1ecfd677a592e09e0d2a3a8054812ccfdbe22

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1. K. Schreckenberg
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4. Hasan Karakul
5. R. Ulusay
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7. M. A. Relva

Citations in the corpus

• Empirical Correlations for Predicting Strength Properties of Rocks from P-Wave Velocity Under Different Degrees of Saturation (2013, methodology): “2 limits as proposed by Alpar (2011), regression standardized residual versus regression standardized predicted value plot was obtained (Fig.”
• Commercialisation of non-timber forest products: first steps in analysing the factors influencing success (2003, background): “PCA is a multivariate statistical technique that enables the most important sources of variation to be identified, within complex data sets (Johnson and Wichern 1992).”