Methods of Multivariate Analysis, 2nd Ed.
By Connie M. Borror. 2004
670 citations recorded by the source corpus.
Subfields: Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/173692279a4e7a6d39111b252021741a79b0249c
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In Statistics and Probability
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Citations in the corpus
- On the Kaiser-Meier-Olkin’s Measure of Sampling Adequacy (2018, background): “This rule of thumb appears to have been accepted widely, although a measure of above 0.6 is acceptable (Rencher, 2002).”
- 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.”
- Attraction of the stink bug egg parasitoid Telenomus podisi to defence signals from soybean activated by treatment with cis‐jasmone (2009, background): “, 2008a) This analysis provides a linear combination of the variables that maximizes the differences between the treatments, and the importance of each compound in separating the treatments can be assessed by the loadings (Rencher, 2002).”
- System Reliability Theory: Models, Statistical Methods, and Applications (2004, neutral): “As for more comprehensive books on multivariate analysis, several good candidates have appeared recently, most notably the text by Rencher (2002) (see the report in Ziegel 2003).”
- Why Tenth Graders Fail to Finish High School: A Dropout Typology Latent Class Analysis (2012, background): “, typologies) based on their survey responses, researchers do not agree on how to determine if clusters are statistically significantly different (Cheung & Chan, 2005; Rencher, 2002; Romesburg, 1984; Zapala & Schork, 2006).”
- An Analytic Framework for Evaluating the Validity of Concept Inventory Claims (2015, methodology): “If the factors are largely uncorrelated, then an oblique rotation will approximate the result of using an orthogonal rotation (Rencher, 2002).”
- Spatial factor analysis: a new tool for estimating joint species distributions and correlations in species range (2015, methodology): “This rotation is also advocated for conventional factor analysis (Rencher 2002) and dynamic factor analysis (Holmes,Ward & Scheuerell 2014).”