February 2015
Beginner
928 pages
33h 17m
English
book
Fundamental Aspects of Operational Risk and Insurance Analytics: A Handbook of Operational Risk
by Pavel V. Shevchenko, Gareth W. Peters, Marcelo G. Cruz
Content preview from Fundamental Aspects of Operational Risk and Insurance Analytics: A Handbook of Operational Risk
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.
Appendix A Miscellaneous Definitions and List of Distributions
A.1 Indicator Function
The often used indicator symbol 
{⋅} is defined as
(A.1)
In addition on occasion we will also utilize 
{⋅}.
A.2 Gamma Function
The standard gamma function Γ(α) is defined as
(A.2)
A.3 Discrete Distributions
A.3.1 POISSON DISTRIBUTION
A Poisson distribution function is denoted as Poisson(λ). The random variable N has a Poisson distribution, denoted N ~ Poisson(λ), if its probability mass function is
(A.3)
for all k 
{0, 1,2,…}. Expectation, variance, and variational coefficient of a random variable N ~ Poisson(λ) are
(A.4)
A.3.2 BINOMIAL DISTRIBUTION
The Binomial distribution function is denoted as Binomial (n, p). The random variable N has a Binomial distribution, denoted ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Read now
Unlock full access
More than 5,000 organizations count on O’Reilly
O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.