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Applied Multivariate Techniques
Applied Multivariate Techniques is a comprehensive guide designed to help readers understand and apply multivariate statistical techniques in data analysis. The book covers important multivariate methods such as Principal Component Analysis (PCA), Discriminant Analysis, Cluster Analysis, and Factor Analysis, with a strong emphasis on their practical applications.
Written by Subhash Sharma, this book not only provides the foundational theory behind each technique but also offers detailed instructions on how to use popular statistical software such as SAS and SPSS to perform these analyses. Each technique is accompanied by examples and case studies that enable readers to practice what they’ve learned and develop the analytical skills needed to handle complex data.
This book is ideal for advanced students, researchers, and professionals who wish to delve into multivariate statistics and its applications across various fields, including economics, social sciences, engineering, and health.
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