Multivariate statistical analysis: a conceptual introduction |
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Contents
FUNDAMENTAL CONCEPTS | 1 |
CORRELATION ANALYSIS | 117 |
Introduction | 160 |
Copyright | |
9 other sections not shown
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Common terms and phrases
alternative analysis of variance application associated average calculate central tendency chapter characteristics cluster analysis composite outcomes concept confidence interval consider correlation analysis correlation coefficient criterion groups criterion variable cutoff score defined degrees of freedom determine dichotomous discriminant analysis discriminant function equal example experiment experimental variable F ratio factor analysis frequency distribution given hypothesis identify individual infinite number inter-object similarity interest interpretation matrix measured median multiple correlation multivariate normal distribution number of observations number of variables occur package color pair population mean population parameter possible prediction predictor variables procedure random sample random variables regression analysis regression equation regression line relationship relative frequency represent respective result sample mean sample space sample statistics sampling distribution scale set of objects set of scores shelf space shown in Figure similarity matrix simple outcomes spice sales standard deviation standard error statistical analysis Table techniques test scores tion total number variation
Bibliographic information
| Title | Multivariate statistical analysis: a conceptual introduction |
| Author | Sam Kash Kachigan |
| Edition | illustrated |
| Publisher | Radius Press, 1982 |
| Original from | University of Minnesota |
| Digitized | Nov 10, 2011 |
| Length | 297 pages |
| Subjects | › › Mathematics / Probability & Statistics / General Mathematics / Probability & Statistics / Multivariate Analysis Multivariate analysis |
| Export Citation | BiBTeX EndNote RefMan |