Description
Time Series Decomposition and Seasonal Adjustment is an essential resource for statisticians, economists, and data analysts working with temporal data. The book covers fundamental concepts and advanced techniques for breaking down time series into their constituent components: trend, seasonal, and irregular variations.
Ping Zong presents both classical and modern approaches to seasonal adjustment, including moving averages, X-11 methods, and state-space models. Each method is illustrated with real-world examples and practical applications across various industries. The book emphasizes hands-on implementation and provides clear explanations of underlying statistical principles.
Readers will learn how to identify seasonal patterns, handle irregular adjustments, and validate decomposition results. This comprehensive guide is invaluable for professionals seeking to improve forecasting accuracy, understand cyclical patterns, and make informed decisions based on adjusted time series data.
Reviews
There are no reviews yet.