£33.87

Springer Statistical Foundations of Actuarial Learning and its Applications (Springer Actuarial)

Price data checked 1 day ago

View at Amazon

We'll watch every seller, every day. One email when your price arrives.

Got more expensive overnight. Up £5 in a week — the last 3 spikes settled within a month.

£34 today · was £29 last week · 30-day average £29

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 73 days · 73 data points

Historical
Generating forecast…
£36.73 £26.24 £28.53 £30.82 £33.10 £35.39 £37.68 01 May 2026 19 May 2026 06 June 2026 24 June 2026 12 July 2026

Price Distribution

Price distribution over 73 days • 5 price levels

Days at Price
Current Price
35 days 19 days 5 days 1 day · current 13 days 0 9 18 26 35 £27 £29 £31 £34 £37 Days at Price

Price Analysis

Most common price: £27 (35 days, 47.9%)

Price range: £27 - £37

Price levels: 5 different prices over 73 days

Description

This open access book discusses the statistical modeling of insurance problems, a process which comprises data collection, data analysis and statistical model building to forecast insured events that may happen in the future. It presents the mathematical foundations behind these fundamental statistical concepts and how they can be applied in daily actuarial practice. Statistical modeling has a wide range of applications, and, depending on the application, the theoretical aspects may be weighted differently: here the main focus is on prediction rather than explanation. Starting with a presentation of state-of-the-art actuarial models, such as generalized linear models, the book then dives into modern machine learning tools such as neural networks and text recognition to improve predictive modeling with complex features. Providing practitioners with detailed guidance on how to apply machine learning methods to real-world data sets, and how to interpret the results without losing sight of the mathematical assumptions on which these methods are based, the book can serve as a modern basis for an actuarial education syllabus.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
23 November 2022
Listed Since
23 June 2022

Barcode

No barcode data available

Similar Products You Might Like

Modern Actuarial Risk Theory: Using R
83% match

Modern Actuarial Risk Theory: Using R

Springer

£71.92 10 May 2026
Neural Networks and Statistical Learning
83% match

Neural Networks and Statistical Learning

Springer

£70.28 28 May 2026
Applying Generalized Linear Models (Springer Texts in Statistics)
82% match

Applying Generalized Linear Models (Springer Texts in Statistics)

Springer

£61.79 01 Jun 2026
Applying and Interpreting Statistics: A Comprehensive Guide (Springer Texts in Statistics)
82% match

Applying and Interpreting Statistics: A Comprehensive Guide (Springer Texts in Statistics)

Springer

£33.00 14 May 2026
Linear Algebra, Data Science, and Machine Learning (Springer Undergraduate Texts in Mathematics and Technology)
81% match

Linear Algebra, Data Science, and Machine Learning (Springer Undergraduate Texts in Mathematics and Technology)

Springer

£50.87 05 Jul 2026
Statistical Reinforcement Learning: Modern Machine Learning Approaches (Chapman & Hall/CRC Machine Learning & Pattern Recognition)
81% match

Statistical Reinforcement Learning: Modern Machine Learning Approaches (Chapman & Hall/CRC Machine Learning & Pattern Recognition)

Chapman and Hall/CRC

£46.47 16 Jun 2026
Learning in Non-Stationary Environments: Methods and Applications
81% match

Learning in Non-Stationary Environments: Methods and Applications

Springer

£108.92 06 Jun 2026
Applying Generalized Linear Models (Springer Texts in Statistics)
81% match

Applying Generalized Linear Models (Springer Texts in Statistics)

Springer

£56.73 14 May 2026
Applied Time Series Analysis and Forecasting with Python (Statistics and Computing)
81% match

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

Springer

£33.63 20 May 2026
Basics of Modern Mathematical Statistics (Springer Texts in Statistics)
81% match

Basics of Modern Mathematical Statistics (Springer Texts in Statistics)

Springer

£104.77 14 May 2026
Fundamentals of Pattern Recognition and Machine Learning
81% match

Fundamentals of Pattern Recognition and Machine Learning

Springer

£40.87 06 Jul 2026
Advances in Stochastic Modelling and Data Analysis
81% match

Advances in Stochastic Modelling and Data Analysis

Springer

£86.01 02 Jul 2026
Mathematical and Statistical Methods for Actuarial Sciences and Finance
81% match

Mathematical and Statistical Methods for Actuarial Sciences and Finance

Springer

£72.77 20 May 2026
Value-Oriented Risk Management of Insurance Companies (EAA Series)
81% match

Value-Oriented Risk Management of Insurance Companies (EAA Series)

Springer

£50.86 25 May 2026
Analysis of Repeated Measures Data
80% match

Analysis of Repeated Measures Data

Springer

£65.56 28 May 2026
Large Sample Techniques for Statistics (Springer Texts in Statistics)
80% match

Large Sample Techniques for Statistics (Springer Texts in Statistics)

Springer

£48.61 15 May 2026
Applying Data Science: How to Create Value with Artificial Intelligence
80% match

Applying Data Science: How to Create Value with Artificial Intelligence

Springer

£81.58 29 May 2026
Foundation Models for Natural Language Processing: Pre-trained Language Models Integrating Media (Artificial Intelligence: Foundations, Theory, and Algorithms)
80% match

Foundation Models for Natural Language Processing: Pre-trained Language Models Integrating Media (Artificial Intelligence: Foundations, Theory, and Algorithms)

Springer

£30.74 24 May 2026
Bayesian Statistics in Actuarial Science: with Emphasis on Credibility: 15 (Huebner International Series on Risk, Insurance and Economic Security, 15)
80% match

Bayesian Statistics in Actuarial Science: with Emphasis on Credibility: 15 (Huebner International Series on Risk, Insurance and Economic Security, 15)

Springer

£113.76 11 Jun 2026
Computational Intelligence Applications to Option Pricing, Volatility Forecasting and Value at Risk: 697 (Studies in Computational Intelligence, 697)
80% match

Computational Intelligence Applications to Option Pricing, Volatility Forecasting and Value at Risk: 697 (Studies in Computational Intelligence, 697)

Springer

£92.18 23 May 2026
Statistical Learning for Biomedical Data (Practical Guides to Biostatistics and Epidemiology)
80% match

Statistical Learning for Biomedical Data (Practical Guides to Biostatistics and Epidemiology)

Cambridge University Press

£26.24 20 May 2026
Statistics for Data Scientists: An Introduction to Probability, Statistics, and Data Analysis (Undergraduate Topics in Computer Science)
80% match

Statistics for Data Scientists: An Introduction to Probability, Statistics, and Data Analysis (Undergraduate Topics in Computer Science)

Springer

£39.34 23 May 2026
Probability and Statistical Models in Operations Research, Computer and Management Sciences: Including Applications to Reliability Models (Springer Series in Reliability Engineering)
80% match

Probability and Statistical Models in Operations Research, Computer and Management Sciences: Including Applications to Reliability Models (Springer Series in Reliability Engineering)

Springer

£111.63 24 May 2026
Machine Learning in Medicine - a Complete Overview
80% match

Machine Learning in Medicine - a Complete Overview

Springer

£66.52 01 Jun 2026