Multivariate Statistics Exercises and Solutions /

• Κύριοι συγγραφείς: Härdle, Wolfgang Karl (Συγγραφέας), Hlávka, Zdeněk (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2015.
• Έκδοση: 2nd ed. 2015.
• Θέματα: Statistics.; Data mining.; Computer mathematics.; Mathematics.; Visualization.; Computational intelligence.; Statistical Theory and Methods.; Computational Mathematics and Numerical Analysis.; Data Mining and Knowledge Discovery.; Computational Intelligence.

The authors present tools and concepts of multivariate data analysis by means of exercises and their solutions. The first part is devoted to graphical techniques. The second part deals with multivariate random variables and presents the derivation of estimators and tests for various practical situat...

Πίνακας περιεχομένων:

• 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.