Applied Time Series Analysis. A Practica
โ Terence C. Mills
๐ Library
๐
2019
๐ Elsevier, Academic Press
๐ English
โฆ LIBER โฆ
๐
Applied Time Series Analysis: A Practical Guide to Modeling and Forecasting
โ Scribed by Terence C. Mills
- Publisher
- Academic Press
- Year
- 2019
- Tongue
- English
- Leaves
- 356
- Category
- Library
โฌ Acquire This Volume
No coin nor oath required. For personal study only.
โฆ Synopsis
Written for those who need an introduction,Applied Time Series Analysisreviews applications of the popular econometric analysis technique across disciplines. Carefully balancing accessibility with rigor, it spans economics, finance, economic history, climatology, meteorology, and public health. Terence Mills provides a practical, step-by-step approach that emphasizes core theories and results without becoming bogged down by excessive technical details. Including univariate and multivariate techniques,Applied Time Series Analysisprovides data sets and program files that support a broad range of multidisciplinary applications, distinguishing this book from others.
Focuses on practical application of time series analysis, using step-by-step techniques and without excessive technical detail
Supported by copious disciplinary examples, helping readers quickly adapt time series analysis to their area of study
Covers both univariate and multivariate techniques in one volume
Provides expert tips on, and helps mitigate common pitfalls of, powerful statistical software including EVIEWS and R
Written in jargon-free and clear English from a master educator with 30 years] experience explaining time series to novices
Accompanied by a microsite with disciplinary data sets and files explaining how to build the calculations used in examples
๐ SIMILAR VOLUMES
Applied time series analysis: a practica
โ Mills, Terence C
๐ Library
๐
2019
๐ Elsevier,Academic Press
๐ English
Codeless Time Series Analysis with KNIME
โ Corey Weisinger, Maarit Widmann, Daniele Tonini
๐ Library
๐
2022
๐ Packt Publishing
๐ English
<p><span>Perform time series analysis using KNIME Analytics Platform, covering both statistical methods and machine learning-based methods</span></p><h4><span>Key Features</span></h4><ul><li><span><span>Gain a solid understanding of time series analysis and its applications using KNIME</span></span>
Codeless Time Series Analysis with KNIME
โ Corey Weisinger, Maarit Widmann, Daniele Tonini
๐ Library
๐
2022
๐ Packt Publishing
๐ English
<p><span>Perform time series analysis using KNIME Analytics Platform, covering both statistical methods and machine learning-based methods</span></p><h4><span>Key Features</span></h4><ul><li><span><span>Gain a solid understanding of time series analysis and its applications using KNIME</span></span>
Applied time series modelling and foreca
โ Richard Harris, Robert Sollis
๐ Library
๐
2003
๐ J. Wiley
๐ English
<b> Applied Time Series Modelling and Forecasting provides a relatively non-technical introduction to applied time series econometrics and forecasting involving non-stationary data. The emphasis is very much on the why and how and, as much as possible, the authors confine technical material to
Applied Bayesian Forecasting and Time Se
โ Andy Pole, Mike West, Jeff Harrison (auth.)
๐ Library
๐
1994
๐ Springer US
๐ English