Part I Descriptive Techniques: Comparison of Batches.- Part II Multivariate Random Variables: A Short Excursion into Matrix Algebra.- Moving to Higher.- Multivariate.- Theory of the Multinormal.- Theory of Estimation.- Part III Multivariate Techniques: Regression Models.- Variable Selection.- Decomposition of Data Matrices by Factors.- Principal Component Analysis.- Factor Analysis.- Cluster Analysis.- Discriminant Analysis.- Correspondence Analysis.- Canonical Correlation Analysis.- Multidimensional Scaling.- Conjoint Measurement Analysis.- Applications in Finance.- Highly Interactive, Computationally Intensive Techniques.- Data Sets.- References.- Index.§ sakriti opis