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
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List of Distributions
| Distribution Name | Distribution Symbol |
| Asymmetric Laplace | AsymmetricLaplace(·) |
| Beta | Beta(·) |
| Binomial | Binomial(·) |
| Chi-Squared | ChiSquared(·) |
| Exponential | Exp(·) |
| g-and-h distributions | Tg,h(·) |
| g-and-k distributions | Tg,k(·) |
| g distributions | Tg (·) |
| Gamma | Gamma(·) |
| Generalized Inverse Gaussian | GIG(·) |
| Generalized Pareto Distribution | GPD(·) |
| Inverse Gaussian | InverseGaussian(·) |
| Inverse Gamma | InverseGamma(·) |
| LogNormal | LogNormal(·) |
| Normal (Gaussian) | Normal(·) |
| Standard Normal | Φ(·) |
| Negative Binomial | NegBinomial(·) |
| Normal Inverse Gaussian | NIG(·) |
| Pareto | Pareto(·) |
| Poisson | Poisson(·) |
| Tukey Transform h | Th(·) |
| Tukey Transform k | Tk(·) |
| Tukey Transform j | Tj(·) |
| Tukey Transform hjk | Thjk(·) |
| h distributions | Th(·) |
| Double h–h distributions | Th,h(·) |
| Generalized Beta | GB2(·) |
| Log-t | Log-t(·) |
| Generalized Gamma | GG(·) |
| Singh–Maddala or Burr Type III | BurrIII(·) |
| Dagum or Burr Type XII | BurrXII(·) |
| Log-Cauchy | LogCauchy(·) |
| Lomax | Lomax(·) |
| Generalized Hyperbolic | GH(·) |
| Laplace | Laplace(·) |
| Halphen Type A | Halphe(·) |
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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.