We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
£111.66
Springer Time Series Analysis, Modeling and Applications Book
Price data last checked 96 day(s) ago - refreshing...
We'll watch every seller, every day. One email when your price arrives.
Same price for 9 weeks. Today is much like next week.
£112 for 64 days straight · last change was Jan 2026
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
when this has been cheap or pricey
where the price is heading next
all-time high & low, recent range
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 635 days • 635 data points (No recent data available)
Price Distribution
Price distribution over 635 days • 8 price levels
Price Analysis
Most common price: £106 (165 days, 26.0%)
Price range: £103 - £114
Price levels: 8 different prices over 635 days
Description
Key Features
Explores temporal and spatiotemporal data analysis to help interpret complex data streams from numerous sensors and feeds.
Addresses the need for models that balance high accuracy with user-friendly interpretability for practical applications.
Covers diverse data sources including environmental data, financial markets, and Internet activities.
Part of the Intelligent Systems Reference Library, providing a deep computational intelligence perspective.
Provides a framework for modeling and predicting both physical and human-generated phenomena.
Product Specifications
- Brand
- Springer
- Format
- hardcover
- ASIN
- 3642334385
- Domain
- Amazon UK
- Release Date
- 06 November 2012
- Listed Since
- 16 August 2012
Barcode
No barcode data available
Similar Products You Might Like
The Analysis of Time Series: Theory and Practice (Monographs on Statistics and Applied Probability)
Springer
Machine Learning for Time-Series with Python: Forecast, predict, and detect anomalies with state-of-the-art machine learning methods
Packt Publishing
Time Series: Modeling, Computation, and Inference, Second Edition (Chapman & Hall/CRC Texts in Statistical Science)
Chapman and Hall/CRC
Time Series for Economics and Finance
Cambridge University Press
Practical Time Series Analysis: Prediction with Statistics and Machine Learning, 497 pages
O'Reilly
Elements of Nonlinear Time Series Analysis and Forecasting (Springer Series in Statistics)
Springer
Time Series: Modeling, Computation, and Inference, Second Edition (Chapman & Hall/CRC Texts in Statistical Science)
CRC Press
Time Series Analysis (Chapman & Hall/CRC Texts in Statistical Science)
CRC Press
Time Series Analysis: Univariate and Multivariate Methods
PEARSON EDUCATION
Time Series Analysis with Python Cookbook: Practical recipes for exploratory data analysis, data preparation, forecasting, and model evaluation
Packt Publishing
Time Series Clustering and Classification (Chapman & Hall/CRC Computer Science & Data Analysis)
CRC Press
Time-Series Analysis: A Comprehensive Introduction for Social Scientists
Cambridge University Press
Change Point Analysis for Time Series (Springer Series in Statistics)
Time Series Clustering and Classification (Chapman & Hall/CRC Computer Science & Data Analysis)
CRC Press
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)
Wiley
Time Series Modelling with Unobserved Components
CRC Press
Time Series Techniques for Economists
Cambridge University Press
Modern Time Series Forecasting Techniques For Predictive Analytics and Anomaly Detection: From Classical Foundations to Cutting-Edge Applications
Time Series: A Biostatistical Introduction (Oxford Statistical Science Series, No. 5)
Oxford University Press
Modern Time Series Forecasting with Python: Industry-ready machine learning and deep learning time series analysis with PyTorch and pandas
Packt Publishing
Time Series for Data Science: Analysis and Forecasting (Chapman & Hall/CRC Texts in Statistical Science)
Time Series Analysis and Its Applications: With R Examples (Springer Texts in Statistics)
Springer
Time Series Modelling with Unobserved Components
CRC Press