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#### Multivariate Time Series Analysis

Wiley 2013; US$ 140.00An 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...

#### Nonlinear Time Series

CRC Press 2007; US$ 109.95Useful in the theoretical and empirical analysis of nonlinear time series data, semiparametric methods have received extensive attention in the economics and statistics communities over the past twenty years. Recent studies show that semiparametric methods and models may be applied to solve dimensionality reduction problems arising from using fully... more...

#### Nonlinear Time Series

CRC Press 2014; US$ 99.95Designed 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...

#### Regression Models for Time Series Analysis

Wiley 2005; US$ 183.00A thorough review of the most current regression methods in time series analysis Regression methods have been an integral part of time series analysis for over a century. Recently, new developments have made major strides in such areas as non-continuous data where a linear model is not appropriate. This book introduces the reader to newer developments... more...

#### The Spectral Analysis of Time Series

Elsevier Science 2014; US$ 72.95The Spectral Analysis of Time Series describes the techniques and theory of the frequency domain analysis of time series. The book discusses the physical processes and the basic features of models of time series. The central feature of all models is the existence of a spectrum by which the time series is decomposed into a linear combination of sines... more...

#### Time Series

CRC Press 2010; US$ 104.95Focusing on Bayesian approaches and computations using simulation-based methods for inference, Time Series: Modeling, Computation, and Inference integrates mainstream approaches for time series modeling with significant recent developments in methodology and applications of time series analysis. It encompasses a graduate-level account of Bayesian... more...

#### Time Series Analysis

CRC Press 2007; US$ 109.95With a focus on analyzing and modeling linear dynamic systems using statistical methods, Time Series Analysis formulates various linear models, discusses their theoretical characteristics, and explores the connections among stochastic dynamic models. Emphasizing the time domain description, the author presents theorems to highlight the most important... more...

#### Time Series Modelling with Unobserved Components

CRC Press 2015; US$ 99.95Despite the unobserved components model (UCM) having many advantages over more popular forecasting techniques based on regression analysis, exponential smoothing, and ARIMA, the UCM is not well known among practitioners outside the academic community. Time Series Modelling with Unobserved Components rectifies this deficiency by giving a practical... more...

#### Topics in Nonlinear Time Series Analysis

World Scientific Publishing Company 2000; US$ 95.00This 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...

#### Zeitreihenanalyse

De Gruyter 2005; US$ 56.00Ausgangspunkt 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...