- 776 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
About this book
The field of statistics not only affects all areas of scientific activity, but also many other matters such as public policy. It is branching rapidly into so many different subjects that a series of handbooks is the only way of comprehensively presenting the various aspects of statistical methodology, applications, and recent developments.The Handbook of Statistics is a series of self-contained reference books. Each volume is devoted to a particular topic in statistics, with Volume 30 dealing with time series. The series is addressed to the entire community of statisticians and scientists in various disciplines who use statistical methodology in their work. At the same time, special emphasis is placed on applications-oriented techniques, with the applied statistician in mind as the primary audience.
- Comprehensively presents the various aspects of statistical methodology
- Discusses a wide variety of diverse applications and recent developments
- Contributors are internationally renowened experts in their respective areas
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Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Time Series Analysis: Methods and Applications by in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover image
- Title page
- General Editor
- Edited by
- Copyright page
- Preface to Handbook Volume – 30
- Contributors: Vol. 30
- Part I. Bootstrap and Tests for Linearity of a Time Series
- Part II. Nonlinear Time Series
- Part III. High Dimensional Time Series
- Part IV. Time Series and Quantile Regression
- Part V. Biostatistical Applications
- Part VI. Nonstationary Time Series
- Part VII. Spatio-Temporal Time Series
- Part VIII. Continuous Time Series
- Part IX. Spectral and Wavelet Methods
- Part X. Computational Methods
- Index
- Handbook of Statistics: Contents of Previous Volumes