Mohlo by se vám také líbit

Více informací o knize Course in Time Series Analysis

• Parametry knihy
• Anotace
• Oblíbené z jiného soudku

Nákupem získáte 535 bodů

Anotace knihy

New statistical methods and future directions of research in time series A Course in Time Series Analysis demonstrates how to build time series models for univariate and multivariate time series data. It brings together material previously available only in the professional literature and presents a unified view of the most advanced procedures available for time series model building. The authors begin with basic concepts in univariate time series, providing an up-to-date presentation of ARIMA models, including the Kalman filter, outlier analysis, automatic methods for building ARIMA models, and signal extraction. They then move on to advanced topics, focusing on heteroscedastic models, nonlinear time series models, Bayesian time series analysis, nonparametric time series analysis, and neural networks. Multivariate time series coverage includes presentations on vector ARMA models, cointegration, and multivariate linear systems. Special features include: * Contributions from eleven of the worlda s leading figures in time series * Shared balance between theory and application * Exercise series sets * Many real data examples * Consistent style and clear, common notation in all contributions *60 helpful graphs and tables Requiring no previous knowledge of the subject, A Course in Time Series Analysis is an important reference and a highly useful resource for researchers and practitioners in statistics, economics, business, engineering, and environmental analysis. An Instructor's Manual presenting detailed solutions to all the problems in the book is available upon request from the Wiley editorial department.

Parametry knihy

Zařazení knihy Knihy v angličtině Economics, finance, business & management Economics Econometrics

• Plný název: Course in Time Series Analysis
• Autor: Daniel S. Pena, George C. Tiao, Ruey S. Tsay
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 496
• EAN: 9780471361640
• ISBN: 047136164X
• ID: 04890127
• Nakladatelství: John Wiley & Sons Inc
• Hmotnost: 794 g
• Rozměry: 234 × 165 × 32 mm
• Datum vydání: 29. December 2000

Oblíbené z jiného soudku

---

---

---