Beginner's Guide to Principal Components: Applications with Microsoft Excel

by Kilem Li Gwet

Are you facing the challenge of analyzing complex datasets filled with correlated variables? Beginner's Guide to Principal Components introduces you to Principal Component Analysis (PCA), a powerful statistical method that simplifies data analysis by reducing dimensionality and revealing underlying patterns. By transforming your data into uncorrelated principal components, PCA allows you to replace dozens of variables with just a few key carefully...

• Format: Paperback
• Language: English
• ISBN: 1792354622
• ISBN13: 9781792354625
• Release Date: November 2020
• Publisher: Agreestat Analytics
• Length: 148 Pages
• Weight: 0.79 lbs.
• Dimensions: 0.4" x 7.0" x 10.0"