Statistical Methods for Data Processing in Nonlinear Systems (This book is available for researchers, faculty and students of mathematical statistics departments in universities and colleges.)

Author: Xiang Jingtian
Publisher:
Publish Date: 2000-04-01
Features: This book provides four types of data processing techniques for nonlinear complex systems: segmentation, decomposition, synthesis, and dimensionality reduction. It presents statistical new methods for implementing these techniques, including change point analysis, seasonal adjustment, combined forecasting, comprehensive evaluation, and projection tracking. These methods are effective tools for researchers and practitioners to extract data information and describe complex systems. The book introduces the ideas, principles, and procedural steps of each method in an accessible manner, discussing and comparing the characteristics and application effects of various methods through case studies.