lewiswalsh.net valuation and analysis

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Title THE REINSURANCE ACTUARY - The Reinsurance
Description The Lomax pareto distribution in I work as an actuarial analyst at a reinsurance broker in London. And this is my
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lewiswalsh.net Valuation
US$2,958,090
Last updated: 2023-05-09 05:31:37

lewiswalsh.net has Semrush global rank of 3,578,087. lewiswalsh.net has an estimated worth of US$ 2,958,090, based on its estimated Ads revenue. lewiswalsh.net receives approximately 341,319 unique visitors each day. Its web server is located in United States, with IP address 199.34.228.140. According to SiteAdvisor, lewiswalsh.net is safe to visit.

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THE REINSURANCE ACTUARY Blog Project Euler Category Theory Disclaimer The Lomax pareto distribution in SciPy 17/3/2023 ​The Python library SciPy, contains a version of the Lomax distribution which it defines as: $$f(x,c) = \frac{c}{(a+x)^{(c+1)}}$$ Whereas, the ‘standard’ specification is [1]: $$f(x,c, \lambda) = \frac{c \lambda ^ c}{(a+x)^{(c+1)}}$$ Which is also the definition in the IFoA core reading [2]: ​​So, how can we use the SciPy version of the Lomax to simulate the standard version, given we are missing the $ \lambda ^c​$ term? ​ Read More 0 Comments --> MLE of a Uniform Distribution 28/2/2023 I noticed something surprising about the Maximum Likelihood Estimator (MLE) for a uniform distribution yesterday. Suppose we’re given sample $X’ = {x_1, x_2, … x_n}$ from a uniform distribution $X$ with parameters $a,b$. Then the MLE estimator for $a = min(X’)$, and $b = max(X’)$. [1] All straight forward so far. However, examining the estimators, we can also say with probability =
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