Applied Time Series Analysis and Forecasting with Python (Statistics and Computing) - Image 1

£71.36

Springer Applied Time Series Analysis and Forecasting with Python (Statistics and Computing)

Name: Applied Time Series Analysis and Forecasting with Python (Statistics and Computing)
Brand: Springer
Price: 71.36 GBP
Availability: InStock

Econometrics

About as cheap as it gets. The only time it was cheaper was 4 months ago.

£71 today · all-time low £71 (Jan 2026) · usually the usual

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 213 days • 202 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 213 days • 3 price levels

Days at Price

Current Price

Price Analysis

Most common price: £71 (186 days, 92.1%)

Price range: £71 - £76

Price levels: 3 different prices over 202 days

Description

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 equallyappeal to industry professionals in the fields of artificial intelligence and data science, and anyone interested in using Python to solve time series problems.

Key Features

Applied Time Series Analysis and Forecasting with Python

Books Subjects Computers Technology Programming Languages Python Books Subjects Business Money Education Reference Statistics Books Subjects Computers Technology Computer Science AI Machine Learning Intelligence Semantics Books Subjects Computers Technology General Books Subjects Science Math Mathematics Applied Statistics Books Subjects Computers Technology Software Mathematical Statistical Featured Stores Books Subjects Business Money Economics Econometrics

Product Type: ABIS BOOK

Springer

Product Specifications

Brand: Springer
Format: hardcover
ASIN: 3031135830
Category: Books > Subjects > Business, Finance & Law > Economics > Econometrics
Domain: Amazon UK
Release Date: 20 October 2022
Listed Since: 02 July 2022

Barcode

No barcode data available

Springer Applied Time Series Analysis and Forecasting with Python (Statistics and Computing)

About as cheap as it gets. The only time it was cheaper was 4 months ago.

Price History & Forecast

Price Distribution

Price Analysis

Description

Key Features

Product Specifications

Barcode

Similar Products You Might Like

Time Series Analysis: Forecasting and Control (Wiley Series in Probability and Statistics)

New Introduction to Multiple Time Series Analysis

A Course in Time Series Analysis: 322 (Wiley Series in Probability and Statistics)

Time Series Analysis and Its Applications: With R Examples (Springer Texts in Statistics)

Long-Memory Time Series: Theory and Methods (Wiley Series in Probability and Statistics)

Linear Time Series with MATLAB and OCTAVE (Statistics and Computing)

Time Series Analysis and Forecasting by Example: 301 (Wiley Series in Probability and Statistics)

Multivariate Time Series Analysis: With R and Financial Applications (Wiley Series in Probability and Statistics)

Introduction to Time Series and Forecasting (Springer Texts in Statistics)

Time Series Modelling with Unobserved Components

Elements of Multivariate Time Series Analysis (Springer Series in Statistics)

Time Series Modelling with Unobserved Components

Time Series for Data Science: Analysis and Forecasting (Chapman & Hall/CRC Texts in Statistical Science)

Time Series for Data Science: Analysis and Forecasting (Chapman & Hall/CRC Texts in Statistical Science)

Time Series Econometrics (In 2 Volumes)

Elements of Nonlinear Time Series Analysis and Forecasting (Springer Series in Statistics)

Time Series Analysis and Forecasting using Python & R

Essentials of Time Series for Financial Applications

Time Series Econometrics (Springer Texts in Business and Economics)

Time Series Analysis (Chapman & Hall/CRC Texts in Statistical Science)

Multivariate Time Series Analysis and Applications (Wiley Series in Probability and Statistics)

Seasonal Adjustment Methods and Real Time Trend-Cycle Estimation (Statistics for Social and Behavioral Sciences)

Springer Seasonal Adjustment and Trend-Cycle Estimation Book

Time Series for Economics and Finance