Time Series Analysis and Forecasting using Python & R

Name: Time Series Analysis and Forecasting using Python & R
Brand: Lulu.com
SKU: 9781716451133
Price: 26882 HUF
Availability: InStock

Szerző: Jeffrey Strickland

Nyelv:

Kötés: Kemény kötésű

Kiadó: Lulu.com

Elérhetőség: 50 % esély

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26 882 Ft

This book full-color textbook assumes a basic understanding of statistics and mathematical or statis...

Információk a könyvről

Szerző

Jeffrey Strickland

Nyelv

Angol

Kötés

Könyv - Kemény kötésű

Kiadva

2020

oldal

448

EAN

9781716451133

ISBN

1716451132

Enbook ID

33555638

Kiadó

Lulu.com

Súly

767

Méretek

152 x 229 x 25

Teljes leírás

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.

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Time Series Analysis and Forecasting using Python & R

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