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Sprache:
Englisch
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Beschreibung
This book full-color textbook assumes a basic understanding of statistics and mathematical or statistical modeling. Although a little programming experience would be nice, but it is not required. We use current real-world data, like COVID-19, to motivate times series analysis have three thread problems that appear in nearly every chapter: "Got Milk?", "Got a Job?" and "Where's the Beef?"
Chapter 1: Loading data in the R-Studio and Jupyter Notebook environments.
Chapter 2: Components of a times series and decomposition
Chapter 3: Moving averages (MAs) and COVID-19
Chapter 4: Simple exponential smoothing (SES), Holt's and Holt-Winter's double and triple exponential smoothing
Chapter 5: Python programming in Jupyter Notebook for the concepts covered in Chapters 2, 3 and 4
Chapter 6: Stationarity and differencing, including unit root tests.
Chapter 7: ARIMA and SARMIA (seasonal) modeling and forecast development
Chapter 8: ARIMA modeling using Python
Chapter 9: Structural models and analysis using unobserved component models (UCMs)
Chapter 10: Advanced time series analysis, including time-series interventions, exogenous regressors, and vector autoregressive (VAR) processes.
Chapter 1: Loading data in the R-Studio and Jupyter Notebook environments.
Chapter 2: Components of a times series and decomposition
Chapter 3: Moving averages (MAs) and COVID-19
Chapter 4: Simple exponential smoothing (SES), Holt's and Holt-Winter's double and triple exponential smoothing
Chapter 5: Python programming in Jupyter Notebook for the concepts covered in Chapters 2, 3 and 4
Chapter 6: Stationarity and differencing, including unit root tests.
Chapter 7: ARIMA and SARMIA (seasonal) modeling and forecast development
Chapter 8: ARIMA modeling using Python
Chapter 9: Structural models and analysis using unobserved component models (UCMs)
Chapter 10: Advanced time series analysis, including time-series interventions, exogenous regressors, and vector autoregressive (VAR) processes.
This book full-color textbook assumes a basic understanding of statistics and mathematical or statistical modeling. Although a little programming experience would be nice, but it is not required. We use current real-world data, like COVID-19, to motivate times series analysis have three thread problems that appear in nearly every chapter: "Got Milk?", "Got a Job?" and "Where's the Beef?"
Chapter 1: Loading data in the R-Studio and Jupyter Notebook environments.
Chapter 2: Components of a times series and decomposition
Chapter 3: Moving averages (MAs) and COVID-19
Chapter 4: Simple exponential smoothing (SES), Holt's and Holt-Winter's double and triple exponential smoothing
Chapter 5: Python programming in Jupyter Notebook for the concepts covered in Chapters 2, 3 and 4
Chapter 6: Stationarity and differencing, including unit root tests.
Chapter 7: ARIMA and SARMIA (seasonal) modeling and forecast development
Chapter 8: ARIMA modeling using Python
Chapter 9: Structural models and analysis using unobserved component models (UCMs)
Chapter 10: Advanced time series analysis, including time-series interventions, exogenous regressors, and vector autoregressive (VAR) processes.
Chapter 1: Loading data in the R-Studio and Jupyter Notebook environments.
Chapter 2: Components of a times series and decomposition
Chapter 3: Moving averages (MAs) and COVID-19
Chapter 4: Simple exponential smoothing (SES), Holt's and Holt-Winter's double and triple exponential smoothing
Chapter 5: Python programming in Jupyter Notebook for the concepts covered in Chapters 2, 3 and 4
Chapter 6: Stationarity and differencing, including unit root tests.
Chapter 7: ARIMA and SARMIA (seasonal) modeling and forecast development
Chapter 8: ARIMA modeling using Python
Chapter 9: Structural models and analysis using unobserved component models (UCMs)
Chapter 10: Advanced time series analysis, including time-series interventions, exogenous regressors, and vector autoregressive (VAR) processes.
Über den Autor
LinkedIn: [...] Related Books by the Author: Data Science Applications using R. Copyright © 2017. Jeffrey Strickland. Lulu, Inc. ISBN 978-0-359-81042-0, Predictive Crime Analysis using R. Copyright© 2018, Jeffrey Strickland. Lulu, Inc. ISBN 978-0-359-43159-5, Logistic Regression - Inside-Out. Copyright © 2017 by Jeffrey S. Strickland. Glasstree, Inc. ISBN 978-1-365-27041-3, Time Series Analysis using Open-Source Tools. Copyright© 2016, Jeffrey Strickland Glasstree, Inc. ISBN 978-1-5342-0100-2 , Predictive Analytics using R. Copyright © 2016 by Jeffrey S. Strickland. [...]. ISBN 978-1-312-84101-7, Data Analytics Using Open-Source Tools. Copyright © 2015 by Jeffrey Strickland. Lulu Inc. ISBN 978-1-365-21384-7, Data Science and Analytics for Ordinary People. Copyright © 2015 by Jeffrey S. Strickland. [...]. ISBN 978-1-329-28062-5, Operations Research using Open-Source Tools. Copyright © 2015 by Jeffrey Strickland. Lulu Inc. ISBN 978-1-329-00404-7, Missile Flight Simulation - Surface-to-Air Missiles, 2nd Edition. Copyright © 2015 by Jeffrey S. Strickland. [...]. ISBN 978-1-329-64495-3, Verification and Validation for Modeling and Simulation Copyright © 2014 by Jeffrey S. Strickland. [...]. ISBN 978-1-312-74061-7, Mathematical Modeling of Warfare and Combat Phenomenon. Copyright © 2011 by Jeffrey S. Strickland. [...]. ISBN 978-1-45839255-8 , Simulation Conceptual Modeling. Copyright © 2011 by Jeffrey S. Strickland. [...]. ISBN 978-1-105-18162-7, Discrete Event Simulation using ExtendSim 8. Copyright © 2010 by Jeffrey S. Strickland. [...]. ISBN 978-0-557-72821-3
Details
| Erscheinungsjahr: | 2020 |
|---|---|
| Fachbereich: | Programmiersprachen |
| Genre: | Importe, Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Buch |
| ISBN-13: | 9781716451133 |
| ISBN-10: | 1716451132 |
| Sprache: | Englisch |
| Ausstattung / Beilage: | HC gerader Rücken kaschiert |
| Einband: | Gebunden |
| Autor: | Strickland, Jeffrey |
| Hersteller: | Lulu.com |
| Verantwortliche Person für die EU: | Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de |
| Maße: | 235 x 157 x 29 mm |
| Von/Mit: | Jeffrey Strickland |
| Erscheinungsdatum: | 28.11.2020 |
| Gewicht: | 0,795 kg |
Über den Autor
LinkedIn: [...] Related Books by the Author: Data Science Applications using R. Copyright © 2017. Jeffrey Strickland. Lulu, Inc. ISBN 978-0-359-81042-0, Predictive Crime Analysis using R. Copyright© 2018, Jeffrey Strickland. Lulu, Inc. ISBN 978-0-359-43159-5, Logistic Regression - Inside-Out. Copyright © 2017 by Jeffrey S. Strickland. Glasstree, Inc. ISBN 978-1-365-27041-3, Time Series Analysis using Open-Source Tools. Copyright© 2016, Jeffrey Strickland Glasstree, Inc. ISBN 978-1-5342-0100-2 , Predictive Analytics using R. Copyright © 2016 by Jeffrey S. Strickland. [...]. ISBN 978-1-312-84101-7, Data Analytics Using Open-Source Tools. Copyright © 2015 by Jeffrey Strickland. Lulu Inc. ISBN 978-1-365-21384-7, Data Science and Analytics for Ordinary People. Copyright © 2015 by Jeffrey S. Strickland. [...]. ISBN 978-1-329-28062-5, Operations Research using Open-Source Tools. Copyright © 2015 by Jeffrey Strickland. Lulu Inc. ISBN 978-1-329-00404-7, Missile Flight Simulation - Surface-to-Air Missiles, 2nd Edition. Copyright © 2015 by Jeffrey S. Strickland. [...]. ISBN 978-1-329-64495-3, Verification and Validation for Modeling and Simulation Copyright © 2014 by Jeffrey S. Strickland. [...]. ISBN 978-1-312-74061-7, Mathematical Modeling of Warfare and Combat Phenomenon. Copyright © 2011 by Jeffrey S. Strickland. [...]. ISBN 978-1-45839255-8 , Simulation Conceptual Modeling. Copyright © 2011 by Jeffrey S. Strickland. [...]. ISBN 978-1-105-18162-7, Discrete Event Simulation using ExtendSim 8. Copyright © 2010 by Jeffrey S. Strickland. [...]. ISBN 978-0-557-72821-3
Details
| Erscheinungsjahr: | 2020 |
|---|---|
| Fachbereich: | Programmiersprachen |
| Genre: | Importe, Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Buch |
| ISBN-13: | 9781716451133 |
| ISBN-10: | 1716451132 |
| Sprache: | Englisch |
| Ausstattung / Beilage: | HC gerader Rücken kaschiert |
| Einband: | Gebunden |
| Autor: | Strickland, Jeffrey |
| Hersteller: | Lulu.com |
| Verantwortliche Person für die EU: | Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de |
| Maße: | 235 x 157 x 29 mm |
| Von/Mit: | Jeffrey Strickland |
| Erscheinungsdatum: | 28.11.2020 |
| Gewicht: | 0,795 kg |
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