Advances in Multivariate Statistical (English)
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- Comprehensive Multivariate Methods
- Insights on High-Dimensional Data
- Applications in Bioinformatics
- Focus on Bayesian Inference
- Published by : Ritesh Publication
- Ratings: 4.8 out of 5
Description
“Advances in Multivariate Statistical Methods” is an insightful volume in the Statistical Science and Interdisciplinary Research series, celebrating the Indian Statistical Institute’s Platinum Jubilee. Edited by Ashis SenGupta, this eBook delves into cutting-edge research and methodologies in multivariate statistical analysis. It covers topics ranging from high-dimensional data analysis and Bayesian inference to bioinformatics and reliability studies. With contributions from global experts, this book offers valuable theoretical and practical insights for researchers, academicians, and statisticians.
You Will Learn
- Advanced methods for analyzing large-dimensional data sets.
- Theoretical and practical approaches to Bayesian inference.
- Innovative clustering techniques and their applications.
- Directional data models and their significance in statistical science.
- The role of multivariate analysis in bioinformatics.
- Techniques for robust estimation and hypothesis testing.
- Applications of multivariate methods in reliability and quality analysis.
- Tools for managing and interpreting longitudinal and spatio-temporal data.
- Computational advancements in statistical methodologies.
- Emerging trends and challenges in multivariate statistical research.
Specification: Advances in Multivariate Statistical (English)
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Advances in Multivariate Statistical (English)
Original price was: $3.51.$0.35Current price is: $0.35.
Aman Gupta –
“This book demystifies complex statistical methods in a structured and approachable way. Great read!”
Pallavi Joshi –
“A highly academic yet practical guide to multivariate statistics. This book exceeded my expectations!”
Vikrant Reddy –
“The perfect book for anyone delving into multivariate data analysis. It’s comprehensive and well-explained.”
Riya Malhotra –
“An excellent book for understanding the intricacies of multivariate statistics. Thoroughly enjoyed it!”
Arvind Mishra –
“This ebook offers advanced techniques and their applications in a clear and concise manner. Brilliant resource!”
Pooja Jain –
“Every concept is explained in depth with practical examples. A must-have for any statistician’s library.”
Anil Deshmukh –
“Advances in Multivariate Statistical is one of the best books on the subject I’ve read. Detailed and practical.”
Tanya Choudhary –
“This book provides the perfect balance between theory and application. It’s incredibly well-documented.”
Shruti Agarwal –
“The clarity and structure of this book make even the most complex topics easy to grasp. Highly useful!”
Vikram Singh –
“This book is a brilliant deep dive into multivariate analysis. A must-read for serious statisticians.”
Sonia Joshi –
“The examples and case studies make this book highly practical. It’s ideal for both students and professionals.”
Aditya Kapoor –
“This ebook provides a robust foundation in multivariate techniques. It’s an excellent academic resource.”
Rohit Malhotra –
An advanced guide that’s easy to follow with plenty of real-world applications. Highly recommended!
Rohit Malhotra –
“An advanced guide that’s easy to follow with plenty of real-world applications. Highly recommended!”
Dr. Kavita Nair –
“This book bridges the gap between theoretical understanding and practical application of multivariate statistics.”
Rahul Desai –
“An invaluable reference for statisticians and data scientists. The explanations are thorough and precise.”
Priya Sharma –
“Packed with valuable insights and examples, this book is perfect for mastering multivariate techniques.”
Arjun Mehta –
“A very detailed and structured approach to multivariate analysis. It’s a fantastic guide for advanced learners.”
Sneha Iyer –
“This book is a must-have for researchers and students in statistics. It simplifies complex concepts effectively.”
Dr. Ramesh Gupta –
“An excellent resource for anyone working with multivariate statistical methods. Comprehensive and detailed!”