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- Taylor and Francis 2014; US$ 79.95
Code and Methods for Creating High-Quality Data Graphics A data graphic is not only a static image, but it also tells a story about the data. It activates cognitive processes that are able to detect patterns and discover information not readily available with the raw data. This is particularly true for time series, spatial, and space-time datasets.... more...
- Wiley 2013; US$ 135.00
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...
- Springer 2014; US$ 129.00
Since the groundbreaking research of Harry Markowitz into the application of operations research to the optimization of investment portfolios, finance has been one of the most important areas of application of operations research. The use of hidden Markov models (HMMs) has become one of the hottest areas of research for such applications to finance.... more...
- Cambridge University Press 2003; US$ 69.00
The time variability of many natural and social phenomena is not well described by standard methods of data analysis. Nonlinear time series analysis uses chaos theory and nonlinear dynamics to understand such seemingly unpredictable behaviour. Results are applied to real data from physics, biology, medicine, and engineering. more...
- Springer 2006; US$ 149.00
Modern economies rely on time series at all levels of activity. Time series are used by decision makers to plan for a better future. This book deals with time series data transformations. In order to facilitate understanding of their properties and limitations of the methods discussed, a real data example is followed throughout the book. more...
- Springer 2005; US$ 69.95
Deals with analyzing and forecasting multiple time series, considering a range of models and methods. This reference work and graduate-level textbook enables readers to perform their analyses in a competent manner. more...
- Elsevier Science 1999; US$ 96.95
The aim of this book is to serve as a graduate text and reference in time series analysis and signal processing, two closely related subjects that are the concern of a wide range of disciplines, such as statistics, electrical engineering, mechanical engineering and physics. The book provides a CD-ROM containing codes in PASCAL and C for the computer... more...
- Elsevier Science 1995; US$ 61.95
To tailor time series models to a particular physical problem and to follow the working of various techniques for processing and analyzing data, one must understand the basic theory of spectral (frequency domain) analysis of time series. This classic book provides an introduction to the techniques and theories of spectral analysis of time series. In... more...
- Palgrave Macmillan 2005; US$ 47.00
Co-integration, equilibrium and equilibrium correction are key concepts in modern applications of econometrics to real world problems. This book provides direction and guidance to the now vast literature facing students and graduate economists. Econometric theory is linked to practical issues such as how to identify equilibrium relationships, how to... more...
- Springer 2008; US$ 79.95
The analysis of integrated and co-integrated time series can be considered as the main methodology employed in applied econometrics. This book enables the reader to conduct the various unit root tests and co-integration methods on his own by utilizing the free statistical programming environment R. more...