R Programming for Actuarial Science - Image 1

£57.49

Wiley R Programming for Actuarial Science

Name: R Programming for Actuarial Science
Brand: Wiley
Price: 57.49 GBP
Availability: InStock

Insurance

Price History & Forecast

Last 2 days • 2 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 2 days • 1 price levels

Days at Price

Price Analysis

Most common price: £57 (2 days, 100.0%)

Price range: £57 - £57

Price levels: 1 different prices over 2 days

Description

R Programming for Actuarial Science Professional resource providing an introduction to R coding for actuarial and financial mathematics applications, with real-life examples R Programming for Actuarial Science provides a grounding in R programming applied to the mathematical and statistical methods that are of relevance for actuarial work. In R Programming for Actuarial Science, readers will find: Basic theory for each chapter to complement other actuarial textbooks which provide foundational theory in depth. Topics covered include compound interest, statistical inference, asset-liability matching, time series, loss distributions, contingencies, mortality models, and option pricing plus many more typically covered in university courses. More than 400 coding examples and exercises, most with solutions, to enable students to gain a better understanding of underlying mathematical and statistical principles. An overall basic to intermediate level of coverage in respect of numerous actuarial applications, and real-life examples included with every topic. Providing a highly useful combination of practical discussion and basic theory, R Programming for Actuarial Science is an essential reference for BSc/MSc students in actuarial science, trainee actuaries studying privately, and qualified actuaries with little programming experience, along with undergraduate students studying finance, business, and economics.

Product Specifications

Brand: Wiley
Format: hardcover
ASIN: 1119754976
Category: Books > Subjects > Business, Finance & Law > Professional Finance > Insurance
Domain: Amazon UK
Release Date: 16 November 2023
Listed Since: 11 June 2021

Barcode

No barcode data available

Wiley R Programming for Actuarial Science

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Computational Actuarial Science with R: 17 (Chapman & Hall/CRC The R Series)

Computational Actuarial Science with R: 17 (Chapman & Hall/CRC The R Series)

Introduction to Probability, Statistics & R: Foundations for Data-Based Sciences

Actuarial Finance: Derivatives, Quantitative Models and Risk Management

Probability with R: An Introduction with Computer Science Applications

Statistical and Probabilistic Methods in Actuarial Science (Chapman & Hall/CRC Series in Actuarial Science)

Computation and Modelling in Insurance and Finance (International Series on Actuarial Science)

Modern Actuarial Risk Theory: Using R

Reinsurance: Actuarial and Statistical Aspects (Wiley Series in Probability and Statistics)

Financial Risk Modelling and Portfolio Optimization with R

Wiley Probability: With Applications and R - Math Textbook

Introduction to Stochastic Processes with R

CRC Press - R Programming and Its Applications in Finance

Advanced Statistics with Applications in R: 392 (Wiley Series in Probability and Statistics)

Mathematical and Statistical Methods for Actuarial Sciences and Finance

R Programming: Statistical Data Analysis in Research

Nonlife Actuarial Models: Theory, Methods and Evaluation (International Series on Actuarial Science)

Risk and Financial Management: Mathematical and Computational Methods

Financial Data Analytics with Machine Learning, Optimization and Statistics (Wiley Finance)

Probability and Mathematical Statistics: Theory, Applications, and Practice in R

Nonparametric Statistics with Applications to Science and Engineering with R (Wiley Series in Probability and Statistics)

Sports Analytics in Practice with R

Regression Modeling with Actuarial and Financial Applications (International Series on Actuarial Science)

Statistics and Data Analysis for Financial Engineering: with R examples (Springer Texts in Statistics)