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Most popular at the top
- Wiley 2009; US$ 295.00 US$ 255.67
Explains the concepts and use of univariate Box-Jenkins/ARIMA analysis and forecasting through 15 case studies. Cases show how to build good ARIMA models in a step-by-step manner using real data. Also includes examples of model misspecification. Provides guidance to alternative models and discusses reasons for choosing one over another. more...
- Wiley 2006; US$ 308.00 US$ 266.93
This handbook provides an up-to-date survey of current research topics and applications of time series analysis methods written by leading experts in their fields. It covers recent developments in univariate as well as bivariate and multivariate time series analysis techniques ranging from physics' to life sciences' applications. Each chapter comprises... more...
- Wiley 2011; US$ 228.00 US$ 197.60
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... more...
- Wiley 2012; US$ 269.00 US$ 233.13
One of the most widely used tools in statistical forecasting, single equation regression models is examined here. A companion to the author's earlier work, Forecasting with Univariate Box-Jenkins Models: Concepts and Cases, the present text pulls together recent time series ideas and gives special attention to possible intertemporal patterns, distributed... more...
- Wiley 2013; US$ 165.00 US$ 143.00
Digital Spectral Analysis provides a single source that offers complete coverage of the spectral analysis domain. This self-contained work includes details on advanced topics that are usually presented in scattered sources throughout the literature. The theoretical principles necessary for the understanding of spectral analysis are discussed in... more...
- World Scientific Publishing Company 2000; US$ 101.00
This book provides a thorough review of a class of powerful algorithms for the numerical analysis of complex time series data which were obtained from dynamical systems. These algorithms are based on the concept of state space representations of the underlying dynamics, as introduced by nonlinear dynamics. In particular, current algorithms for state... more...
- De Gruyter 2005; US$ 43.49
Ausgangspunkt dieses Lehrbuchs sind die klassischen Verfahren der Zerlegung von Zeitreihen in verschiedene Komponenten (wie Trend und Zyklus). Im zweiten Schritt werden die Zeitreihen als stochastische Prozesse interpretiert, die im Rahmen des Box/Jenkins-Ansatzes modelliert werden können (sog. ARIMA-Modelle). Im dritten Schritt werden einzelne Zeitreihen... more...
- CRC Press 2014; US$ 102.95
Designed for researchers and students, Nonlinear Times Series: Theory, Methods and Applications with R Examples familiarizes readers with the principles behind nonlinear time series models?without overwhelming them with difficult mathematical developments. By focusing on basic principles and theory, the authors give readers the background required... more...
- World Scientific Publishing Company 1993; US$ 79.00
This book is a monograph on case studies using time series analysis, which includes the main research works applied to practical projects by the author in the past 15 years. The works cover different problems in broad fields, such as: engineering, labour protection, astronomy, physiology, endocrinology, oil development, etc. The first part of this... more...
- Wiley 2013; US$ 140.00 US$ 121.33
An accessible guide to the multivariate time series tools used in numerous real-world applications Multivariate Time Series Analysis: With R and Financial Applications is the much anticipated sequel coming from one of the most influential and prominent experts on the topic of time series. Through a fundamental balance of theory and methodology,... more...