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The solvency ratio of an insurance company is the size of its capital relative to all risks it has taken. The solvency ratio is most often defined as: The solvency ratio is most often defined as: n e t . a s s e t s ÷ n e t . p r e m i u m . w r i t t e n {\displaystyle net.assets\div net.premium.written}
The Hausner ratio is a number that is correlated to the flowability of a powder or granular material. It is named after the engineer Henry H. Hausner (1900–1995 ...
Chebyshev's inequality requires the following information on a random variable : . The expected value [] is finite.; The variance [] = [( [])] is finite.; Then, for every constant >,
The sequential probability ratio test (SPRT) is a specific sequential hypothesis test, developed by Abraham Wald [1] and later proven to be optimal by Wald and Jacob Wolfowitz. [2] Neyman and Pearson's 1933 result inspired Wald to reformulate it as a sequential analysis problem.
Ratio decidendi (US: / ˌ r eɪ ʃ i oʊ ˌ d ɪ s aɪ ˈ d ɛ n d i,-d aɪ /; Latin plural rationes decidendi) is a Latin phrase meaning "the reason" or "the rationale for the decision". The ratio decidendi is "the point in a case that determines the judgement" [ 1 ] or "the principle that the case establishes".
The price-to-book ratio, or P/B ratio, (also PBR) is a financial ratio used to compare a company's current market value to its book value (where book value is the value of all assets minus liabilities owned by a company). The calculation can be performed in two ways, but the result should be the same.
Example: patient who is receiving an FiO2 of .5 (i.e., 50%) with a measured PaO2 of 60 mmHg has a PaO 2 /FiO 2 ratio of 120. In healthy lungs, the Horowitz index depends on age and usually falls between 350 and 450. A value below 300 is the threshold for mild lung injury, and 200 is indicative of a moderately severe lung injury.
The inverse Mills ratio is the ratio of the probability density function to the complementary cumulative distribution function of a distribution. Its use is often motivated by the following property of the truncated normal distribution. If X is a random variable having a normal distribution with mean μ and variance σ 2, then