Modern Actuarial Risk Theory: Using R - Image 1

£71.92

Springer Modern Actuarial Risk Theory: Using R

Name: Modern Actuarial Risk Theory: Using R
Brand: Springer
Price: 72.9 GBP
Availability: InStock

Econometrics

Price History & Forecast

Last 89 days • 89 data points

Historical

Generating forecast...

Price Distribution

Price distribution over 89 days • 4 price levels

Days at Price

Current Price

Price Analysis

Most common price: £80 (45 days, 50.6%)

Price range: £71 - £80

Price levels: 4 different prices over 89 days

Description

This book presents practical paradigms in insurance as well as numerous exercises with solutions. This second edition emphasizes the implementation of all covered techniques through the use of R, the de facto standard for statistical computation.

Key Features

New

Mint Condition

Dispatch same day for order received before 12 noon

Guaranteed packaging

No quibbles returns

Product Specifications

Brand: Springer
Format: paperback
ASIN: 3642034071
Category: Books > Subjects > Business, Finance & Law > Economics > Econometrics
Domain: Amazon UK
Release Date: 30 September 2009
Listed Since: 11 September 2009

Barcode

No barcode data available

Springer Modern Actuarial Risk Theory: Using R

Price History & Forecast

Price Distribution

Price Analysis

Description

Key Features

Product Specifications

Barcode

Similar Products You Might Like

R by Example (Use R!)

Quantitative Risk Management in Agricultural Business (Springer Actuarial)

Biostatistics With 'R': A Guide for Medical Doctors

Non-Life Insurance Mathematics: An Introduction with the Poisson Process (Universitext)

Modeling Binary Correlated Responses: Using SAS, SPSS, R and STATA (ICSA Book Series in Statistics)

Basics of Modern Mathematical Statistics (Springer Texts in Statistics)

Introduction to Data Science in Biostatistics: Using R, the Tidyverse Ecosystem, and APIs

Uncertainty Quantification with R: Bayesian Methods: 352 (International Series in Operations Research & Management Science, 352)

Developments in Statistical Modelling (Contributions to Statistics)

Statistical Methods and Models for Health and Clinical Studies

Economics of Agricultural Crop Insurance: Theory and Evidence: 4 (Natural Resource Management and Policy, 4)

Asymptotic Theory of Statistical Inference for Time Series (Springer Series in Statistics)

Statistical Methods: Connections, Equivalencies, and Relationships

Statistical Analysis and Data Display: An Intermediate Course with Examples in R (Springer Texts in Statistics)

The Basel II Risk Parameters: Estimation, Validation, Stress Testing - with Applications to Loan Risk Management

Coupling and Ergodic Theorems for Semi-Markov-Type Processes II: Semi-Markov Processes and Multi-Alternating Regenerative Processes with Semi-Markov Modulation: 2

Stochastic Averaging: Methods and Applications, Volume 2

Statistical Modeling Using Bayesian Latent Gaussian Models: With Applications in Geophysics and Environmental Sciences

European Insurance Law within the Digital Age: 14 (AIDA Europe Research Series on Insurance Law and Regulation, 14)

Biostatistics in Biopharmaceutical Research and Development: Clinical Trial Analysis, Volume 2

The Use of Frames in Sampling Theory: 14 (RSME Springer Series, 14)

Insurance in Private International Law: Insurance and Reinsurance in Private International Law, Jurisdiction and Applicable Law (AIDA Europe Research Series on Insurance Law and Regulation, 11)

Insurance of International Sales' Contracts under Incoterms (Law for Professionals)

An Introduction to Variational Calculus: Applications in Image Processing