Multivariate analysis of data by applied statistics

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“Multidimensional analysis of data by methods of applied statistics” is a fascinating and in-depth study created by a team of authors that immerses the reader in the world of complex statistical methods and their application in real-world problems. This book is ideal for students, graduate students, and practitioners working in statistics, data analytics, and related disciplines . If you are interested in how to extract valuable insights from multidimensional data, then this work will become a real guide for you. The book discusses various methods of multivariate analysis, including factor analysis, cluster analysis, and dimension reduction techniques, such as the principal component method. The authors not only explain the theoretical foundations of each method, but also demonstrate their practical application through real examples and cases. This allows the reader not only to understand how these methods work, but also to see how they can be used to solve specific problems. The book will be interesting not only for those who already have experience with data, but also for beginners who want to master the basics of applied statistics. It is suitable for students studying statistics, mathematics, economics, sociology and other disciplines where data analysis plays a key role. It will also be useful for practicing analysts, researchers and anyone looking to improve their skills in data analysis. The topics raised in the book cover a wide range of issues related to multidimensional analysis. The authors discuss how to choose the right methods of analysis depending on the type of data and the goals of the study. They also emphasize the importance of pre-processing, which is a critical step in any analysis. The book emphasizes that successful data analysis begins with a qualitative preparation and understanding of the context in which the data was collected. The style of the authors is characterized by accessibility and clarity of presentation, which makes complex concepts more understandable to a wide audience. They use a variety of illustrations, graphs, and tables to help visualize information and facilitate perception. This makes the book not only useful, but also enjoyable to read. In addition, the team of authors includes experts in the field of statistics and data analysis, which adds additional value to the content. Their experience and knowledge make it possible to create high-quality and up-to-date guidance that will be useful for both training purposes and practical work . If you are looking for literature on topics related to multidimensional data analysis, look for books such as Applied Statistics and Data Analysis in R that can also supplement your knowledge. Searches such as “data analysis methods”, “statistical methods for analysis” and “multi-dimensional statistics” will help you find additional resources and literature on this topic. In conclusion, “Multidimensional Data Analysis by Applied Statistics” is not just a textbook, but a real find for anyone who wants to deepen their knowledge in the field of data analysis. This book will become a reliable assistant on your way to mastering complex statistical methods and will help you become more confident in working with multidimensional data. Do not miss the opportunity to discover the world of applied statistics and learn how to apply its methods in practice!
LF/939571398/R
Data sheet
- Name of the Author
- Collective of authors
- Language
- Russian
- ISBN
- 9785757915265