Applied Multivariate Methods for Data AnalystsStatisticians and nonstatisticians alike will appreciate this modern and comprehensive new text. Dallas Johnson uses real-life examples and explains the when to, why to, and how to of numerous multivariate methods, stressing the importance and practical application of each. He keeps technical details to a minimum for greater student understanding. Students will be able to DO multivariate analyses when they complete this book. Drawing on nearly 20 years of experience teaching public seminars and college courses in applied multivariate methods. Johnson emphasizes those aspects that have been most useful to practitioners trying to solve real problems using real data. |
Contents
APPLIED MULTIVARIATE METHODS | 1 |
SAMPLE CORRELATIONS | 35 |
MULTIVARIATE DATA PLOTS | 55 |
Copyright | |
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Common terms and phrases
analysis answer applicant average called Canonical Correlation canonical variate classified clusters column combined commands computer printout Consider contains corresponding covariance create data set defined described determine discriminant distance distribution eigenvalues equal Error estimated Example factor factor analysis Family FEMALE functions given gives hypothesis identified important individuals interpret labeled largest linear LOGISTIC majors matrix means measured methods multivariate normal Note observation obtained option Pages pairs perform pizzas PIZZAZZ plot points population possible preceding principal component principal component scores PRINT probability PROC procedure produce questions regression researcher response variables risk rotation rule sample SATISFACTION scores selected shows significant similar space Square standardized statistical Suppose symmetric matrix tion treatment turkeys Type variables variance variance-covariance vectors WEIGHT WILD XXXX XXXX