Applied Multivariate Statistical Analysis: Volume 1
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Applied Multivariate Statistical Analysis is a methodological approach used to analyze data sets containing multiple variables. It explores the relationships between three or more variables simultaneously, offering a comprehensive understanding of complex data structures. Through techniques like principal component analysis, factor analysis and cluster analysis, it uncovers hidden patterns, identifies correlations and extracts meaningful insights. This field finds applications across various domains including finance, biology, psychology, marketing and social sciences. By analyzing the interde...
Applied Multivariate Statistical Analysis is a methodological approach used to analyze data sets containing multiple variables. It explores the relationships between three or more variables simultaneously, offering a comprehensive understanding of complex data structures. Through techniques like principal component analysis, factor analysis and cluster analysis, it uncovers hidden patterns, identifies correlations and extracts meaningful insights. This field finds applications across various domains including finance, biology, psychology, marketing and social sciences. By analyzing the interdependencies among variables, applied multivariate statistical analysis facilitates informed decision-making. Its versatility and power make it an essential tool for researchers, analysts and practitioners seeking to derive actionable insights from diverse data sources and drive innovation in their respective fields. This book presents the complex subject of statistical analysis in the most comprehensible and easy to understand language. The topics included in this book on multivariate statistical analysis are of utmost significance and bound to provide incredible insights to readers. Through this book, we attempt to further enlighten the readers about the new concepts in this field.
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