Applied Time Series Modelling And Forecasting
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Applied Time Series Modelling And Forecasting
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Author : Richard Harris
language : en
Publisher: Wiley
Release Date : 2003-06-02
Applied Time Series Modelling And Forecasting written by Richard Harris and has been published by Wiley this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-06-02 with Business & Economics categories.
This book covers time series modeling and forecasting for econometrics and finance students. This new edition has been simplified for more ease of use and includes new chapters and substantial important revisions.
Applied Time Series Analysis And Forecasting With Python
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Author : Changquan Huang
language : en
Publisher: Springer Nature
Release Date : 2022-10-19
Applied Time Series Analysis And Forecasting With Python written by Changquan Huang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-19 with Mathematics categories.
This textbook presents methods and techniques for time series analysis and forecasting and shows how to use Python to implement them and solve data science problems. It covers not only common statistical approaches and time series models, including ARMA, SARIMA, VAR, GARCH and state space and Markov switching models for (non)stationary, multivariate and financial time series, but also modern machine learning procedures and challenges for time series forecasting. Providing an organic combination of the principles of time series analysis and Python programming, it enables the reader to study methods and techniques and practice writing and running Python code at the same time. Its data-driven approach to analyzing and modeling time series data helps new learners to visualize and interpret both the raw data and its computed results. Primarily intended for students of statistics, economics and data science with an undergraduate knowledge of probability and statistics, the book will equally appeal to industry professionals in the fields of artificial intelligence and data science, and anyone interested in using Python to solve time series problems.
Applied Time Series Modelling Forecasting
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Author : Richard Harris Robert Sollis
language : en
Publisher:
Release Date :
Applied Time Series Modelling Forecasting written by Richard Harris Robert Sollis and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Applied Time Series
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Author : T. M. J. A. Cooray
language : en
Publisher:
Release Date : 2008
Applied Time Series written by T. M. J. A. Cooray and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Time-series analysis categories.
"Applied Time Series: Analysis and Forecasting provides the theories, methods and tools for necessary modeling and forecasting of time series. It includes a complete theoretical development of univariate time series models with each step demonstrated with an analysis of real time data series. The result is clear presentation, quantified subjective judgment derived from selected methods applied to time series observations."--Jacket
Applied Time Series Analysis For Managerial Forecasting
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Author : Charles R. Nelson
language : en
Publisher:
Release Date : 1973
Applied Time Series Analysis For Managerial Forecasting written by Charles R. Nelson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1973 with Business forecasting categories.
Applied Time Series Analysis For The Social Sciences
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Author : Richard McCleary
language : en
Publisher: SAGE Publications, Incorporated
Release Date : 1980-07
Applied Time Series Analysis For The Social Sciences written by Richard McCleary and has been published by SAGE Publications, Incorporated this book supported file pdf, txt, epub, kindle and other format this book has been release on 1980-07 with Mathematics categories.
McCleary and Hay have made time series analysis techniques -- the Box-Jenkins or ARIMA methods -- accessible to the social scientist. Rejecting the dictum that time series analysis requires substantial mathematical sophistication, the authors take a clearly written, step-by-step approach. They describe the logic behind time series analysis, and its possible applications in impact assessment, causal modelling and forecasting, multivariate time series and parameter estimation.
Applied Time Series Modelling And Forecasting
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Author : Donald James Noakes
language : en
Publisher:
Release Date : 1984
Applied Time Series Modelling And Forecasting written by Donald James Noakes and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984 with categories.
Applied Time Series Analysis
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Author : Terence C. Mills
language : en
Publisher: Academic Press
Release Date : 2019-02-08
Applied Time Series Analysis written by Terence C. Mills and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-08 with Business & Economics categories.
Written for those who need an introduction, Applied Time Series Analysis reviews 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 Analysis provides 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
Applied Time Series Analysis With R
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Author : Wayne A. Woodward
language : en
Publisher: CRC Press
Release Date : 2017-02-17
Applied Time Series Analysis With R written by Wayne A. Woodward and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-02-17 with Mathematics categories.
Virtually any random process developing chronologically can be viewed as a time series. In economics closing prices of stocks, the cost of money, the jobless rate, and retail sales are just a few examples of many. Developed from course notes and extensively classroom-tested, Applied Time Series Analysis with R, Second Edition includes examples across a variety of fields, develops theory, and provides an R-based software package to aid in addressing time series problems in a broad spectrum of fields. The material is organized in an optimal format for graduate students in statistics as well as in the natural and social sciences to learn to use and understand the tools of applied time series analysis. Features Gives readers the ability to actually solve significant real-world problems Addresses many types of nonstationary time series and cutting-edge methodologies Promotes understanding of the data and associated models rather than viewing it as the output of a "black box" Provides the R package tswge available on CRAN which contains functions and over 100 real and simulated data sets to accompany the book. Extensive help regarding the use of tswge functions is provided in appendices and on an associated website. Over 150 exercises and extensive support for instructors The second edition includes additional real-data examples, uses R-based code that helps students easily analyze data, generate realizations from models, and explore the associated characteristics. It also adds discussion of new advances in the analysis of long memory data and data with time-varying frequencies (TVF).
Applied Time Series And Box Jenkins Models
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Author : Walter Vandaele
language : en
Publisher:
Release Date : 1983
Applied Time Series And Box Jenkins Models written by Walter Vandaele and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1983 with Business & Economics categories.
This text presents Time Series analysis and Box-Jenkins models.