We can't find the internet
Attempting to reconnect
Something went wrong
Hang in there while we get back on track
£93.96
About as cheap as it gets — within 5% of the all-time low it hit 1 month ago.
£94 today · all-time low £92 (Sep 2026) · usually £94
Wiley Statistical Learning for Big Dependent Data Book
We'll watch every seller, every day. One email when your price arrives.
Price History & Forecast
Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.
Last 78 days · 78 data points (no recent data)
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 Distribution
Price distribution over 78 days • 5 price levels
Price Analysis
Most common price: £96 (32 days, 41.0%)
Price range: £92 - £97
Price levels: 5 different prices over 78 days
Description
Key Features
Covers statistical and machine learning methods specifically for analyzing and forecasting large, dynamically dependent datasets.
Provides automatic procedures for modeling and forecasting large sets of time series data efficiently.
Includes visualization tools to help understand and interpret complex data structures from the start.
Offers methods for identifying outliers, clusters, and different types of heterogeneity within big dependent data.
Part of the respected Wiley Series in Probability and Statistics, making it a reliable resource for higher education.
Product Specifications
- Brand
- Wiley
- Format
- hardcover
- ASIN
- 1119417384
- Domain
- Amazon UK
- Release Date
- 11 June 2021
- Listed Since
- 09 June 2020
Barcode
No barcode data available
Similar Products You Might Like
Machine Learning for Time-Series with Python: Forecast, predict, and detect anomalies with state-of-the-art machine learning methods
Packt Publishing
Modern Time Series Forecasting Techniques For Predictive Analytics and Anomaly Detection: From Classical Foundations to Cutting-Edge Applications
Wiley Data Science in Theory and Practice - Big Data Book
Wiley
Packt Modern Time Series Forecasting with Python Book
Packt Publishing
Wiley Time Series Analysis: Forecasting and Control Book
Wiley
Hands-on Time Series Analysis with Python: From Basics to Bleeding Edge Techniques
Apress
Time Series Analysis and Forecasting by Example: 301 (Wiley Series in Probability and Statistics)
Wiley
Uncertainty Analysis in Econometrics with Applications: 200 (Advances in Intelligent Systems and Computing, 200)
Springer
Time Series Analysis and Its Applications: With R Examples (Springer Texts in Statistics)
Springer
Time Series Analysis Computational Intelligence - Reference Library
Springer
Wiley Long-Memory Time Series: Theory and Methods Book
Wiley
Models for Dependent Time Series (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
CRC Press
Foundations of Statistics for Data Scientists: With R and Python (Chapman & Hall/CRC Texts in Statistical Science)
CRC Press
Time Series Modelling with Unobserved Components
CRC Press
Modelling Nonlinear Economic Time Series (Advanced Texts In Econometrics)
Oxford University Press
SAS Forecasting 2e
Wiley
Nonlinear Time Series: Semiparametric and Nonparametric Methods (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
CRC Press
Time Series for Data Science: Analysis and Forecasting (Chapman & Hall/CRC Texts in Statistical Science)
CRC Press
Time Series for Data Science: Analysis and Forecasting (Chapman & Hall/CRC Texts in Statistical Science)
Chapman and Hall/CRC
Dependence in Probability and Statistics: 187 (Lecture Notes in Statistics, 187)
Springer
Advances in Time Series Methods and Applications: The A. Ian McLeod Festschrift: 78 (Fields Institute Communications, 78)
Springer
Advances in Time Series Methods and Applications: The A. Ian McLeod Festschrift: 78 (Fields Institute Communications, 78)
Springer
Time Series Modelling with Unobserved Components
CRC Press
Time Series: Modeling, Computation, and Inference, Second Edition (Chapman & Hall/CRC Texts in Statistical Science)
Chapman and Hall/CRC