Loss Models: From Data to Decisions (Wiley Series in Probability and Statistics) - Image 1

£97.00

Wiley Loss Models: From Data to Decisions (Wiley Series in Probability and Statistics)

Name: Loss Models: From Data to Decisions (Wiley Series in Probability and Statistics)
Brand: Wiley
Price: 97.0 GBP
Availability: InStock

Insurance

It has never been this cheap. We have no record of a lower price.

£97 today · cheaper than every other day in the last 3 months

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 40 days · 40 data points (no recent data)

Historical

Generating forecast…

Price Distribution

Price distribution over 40 days • 3 price levels

Days at Price

Current Price

Price Analysis

Most common price: £102 (34 days, 85.0%)

Price range: £97 - £110

Price levels: 3 different prices over 40 days

Description

A guide that provides in-depth coverage of modeling techniques used throughout many branches of actuarial science, revised and updated Now in its fifth edition, Loss Models: From Data to Decisions puts the focus on material tested in the Society of Actuaries (SOA) newly revised Exams STAM (Short-Term Actuarial Mathematics) and LTAM (Long-Term Actuarial Mathematics). Updated to reflect these exam changes, this vital resource offers actuaries, and those aspiring to the profession, a practical approach to the concepts and techniques needed to succeed in the profession. The techniques are also valuable for anyone who uses loss data to build models for assessing risks of any kind. Loss Models contains a wealth of examples that highlight the real-world applications of the concepts presented, and puts the emphasis on calculations and spreadsheet implementation. With a focus on the loss process, the book reviews the essential quantitative techniques such as random variables, basic distributional quantities, and the recursive method, and discusses techniques for classifying and creating distributions. Parametric, non-parametric, and Bayesian estimation methods are thoroughly covered. In addition, the authors offer practical advice for choosing an appropriate model. This important text: • Presents a revised and updated edition of the classic guide for actuaries that aligns with newly introduced Exams STAM and LTAM • Contains a wealth of exercises taken from previous exams • Includes fresh and additional content related to the material required by the Society of Actuaries (SOA) and the Canadian Institute of Actuaries (CIA) • Offers a solutions manual available for further insight, and all the data sets and supplemental material are posted on a companion site Written for students and aspiring actuaries who are preparing to take the SOA examinations, Loss Models offers an essential guide to the concepts and techniques of actuarial science.

Product Specifications

Brand: Wiley
Format: hardcover
ASIN: 1119523788
Category: Books > Subjects > Business, Finance & Law > Professional Finance > Insurance
Domain: Amazon UK
Release Date: 28 May 2019
Listed Since: 26 March 2018

Barcode

No barcode data available

Wiley Loss Models: From Data to Decisions (Wiley Series in Probability and Statistics)

It has never been this cheap. We have no record of a lower price.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Loss Models: Further Topics (Wiley Series in Probability and Statistics)

Actuarial Loss Models: A Concise Introduction (Chapman & Hall/CRC Series in Actuarial Science)

Loss Reserving: An Actuarial Perspective: 21 (Huebner International Series on Risk, Insurance and Economic Security, 21)

Loss Reserving: An Actuarial Perspective: 21 (Huebner International Series on Risk, Insurance and Economic Security, 21)

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

Handbook on Loss Reserving: 0 (EAA Series)

Actuarial Models: The Mathematics of Insurance, Second Edition

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

Mathematical and Statistical Methods for Actuarial Sciences and Finance: MAF 2018

Financial and Actuarial Statistics: An Introduction, Second Edition

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

Loss Models: From Data to Decisions, 3rd Edition (One Year Online): Preparation for Actuarial Exam C/4 Wrapper

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

Modelling in Life Insurance – A Management Perspective: 0 (EAA Series)

Advances in Heavy Tailed Risk Modeling: A Handbook of Operational Risk (Wiley Handbooks in Financial Engineering and Econometrics)

R Programming for Actuarial Science

CS1 Actuarial Statistics MASTERY: 210+ Practice Questions & Complete Solutions - Pass Your IFoA Exam with Confidence

Managing the Insolvency Risk of Insurance Companies: Proceedings of the Second International Conference on Insurance Solvency: 12 (Huebner ... on Risk, Insurance and Economic Security, 12)

Actuarial Finance: Derivatives, Quantitative Models and Risk Management

Mathematical and Statistical Methods for Actuarial Sciences and Finance: MAF 2022

Managing the Insolvency Risk of Insurance Companies: Proceedings of the Second International Conference on Insurance Solvency: 12 (Huebner ... on Risk, Insurance and Economic Security)

Actuarial Theory for Dependent Risks: Measures, Orders and Models

Mathematical and Statistical Methods for Actuarial Sciences and Finance

Mathematical and Statistical Methods for Actuarial Sciences and Finance: MAF 2022