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3 unusual facts about Variance-based sensitivity analysis


Variance-based sensitivity analysis

Variance-based measures of sensitivity are attractive because they measure sensitivity across the whole input space (i.e. it is a global method), they can deal with nonlinear responses, and they can measure the effect of interactions in non-additive systems.

Some low-discrepancy sequences commonly used in sensitivity analysis include the Sobol sequence and the Latin hypercube design.

due to the fact that the interaction effect between e.g. Xi and Xj is counted in both STi and STj In fact, the sum of the STi will only be equal to 1 when the model is purely additive.


Aleksandr Khazanov

He attended Stuyvesant High School, and was named a finalist and eventually placed 7th at the 54th Westinghouse Science Talent Search for a paper dealing with a variance of Fermat's Last Theorem.

Amyraldism

The national Synods at Alençon, 1637; at Charenton, 1645; and at Loudun, 1659 (the last synod permitted by the French government), decided against the excommunication of Amyraut but delimited his views in order to avoid further variance with historic Reformed orthodoxy.

Anthony James Barr

Barr had earlier created an analysis-of-variance modeling language inspired by the notation of statistician Maurice Kendall.

Bessel's correction

In statistics, Bessel's correction, named after Friedrich Bessel, is the use of n − 1 instead of n in the formula for the sample variance and sample standard deviation, where n is the number of observations in a sample: it corrects the bias in the estimation of the population variance, and some (but not all) of the bias in the estimation of the population standard deviation.

Bob Hogg

As a columnist, Bob Hogg has sometimes expressed views at variance with those of the ALP; during the 1999 debate on a GST he criticised those opposing the tax (including independent Brian Harradine) on the grounds that such a tax would ensure funding for policies traditionally advocated by Labor, such as state schools and hospitals.

Christendom Astray from the Bible

Christendom Astray From the Bible (commonly: Christendom Astray) is a polemic work by the Christadelphian Robert Roberts that claims to demonstrate that the main doctrines shared by most Christian denominations are at variance with the teachings of the Bible.

Claudius Aelianus

The letters are invented compositions to a fictitious correspondent, which are a device for vignettes of agricultural and rural life, set in Attica, though mellifluous Aelian once boasted that he had never been outside Italy, never been aboard a ship (which is at variance, though, with his own statement, de Natura Animalium XI.40, that he had seen the bull Serapis with his own eyes).

Gary Berntson

"Origins of baseline variance and the Law of Initial Values".

God gene

Carl Zimmer claimed that VMAT2 can be characterized as a gene that accounts for less than one percent of the variance of self-transcendence scores.

Godfrey Goodman

He was frequently at variance with Archbishop Laud, and in 1640 refused on conscientious grounds to sign the seventeen Articles drawn up by the Archbishop.

Heritability

This reflects all the genetic contributions to a population's phenotypic variance including additive, dominant, and epistatic (multi-genic interactions), as well as maternal and paternal effects, where individuals are directly affected by their parents' phenotype (such as with milk production in mammals).

Information inequality

in statistics, the Cramér–Rao bound, an inequality for the variance of an estimator based on the information in a sample

Monotonic scale

The Annotated Book of Common Prayer similarly notes that (according to Saint Augustine) Saint Athanasius discouraged variance in note in liturgical recitation, but that eventual modulation of the note led to the development of plainsong.

Multidimensional scaling

It is also very advisable to give the algorithm (e.g., Kruskal, Mather), which is often defined by the program used (sometimes replacing the algorithm report), if you have given a start configuration or had a random choice, the number of runs, the assessment of dimensionality, the Monte Carlo method results, the number of iterations, the assessment of stability, and the proportional variance of each axis (r-square).

Multitaper

In signal processing, the multitaper method is a technique developed by David J. Thomson to estimate the power spectrum SX of a stationary ergodic finite-variance random process X, given a finite contiguous realization of X as data.

Park test

Homoscedasticity, one of the basic Gauss–Markov assumptions of ordinary least squares linear regression modeling, refers to equal variance in the random error terms regardless of the trial or observation, such that

Quicksort

Practical efficiency and smaller variance in performance were demonstrated against optimised quicksorts (of Sedgewick and Bentley-McIlroy).

Sir John Hotham, 1st Baronet

Meanwhile the younger Hotham was taking an active part in the Civil War in Yorkshire and Lincolnshire, but was soon at variance with other parliamentary leaders, especially with Lord Fairfax and his son Sir Thomas Fairfax, and complaints about his conduct and that of his troops were made by Oliver Cromwell and by Colonel John Hutchinson.

Strictly standardized mean difference

In a confirmatory or primary screen with replicates, for the i-th test compound with n replicates, we calculate the paired difference between the measured value (usually on the log scale) of the compound and the median value of a negative control in a plate, then obtain the mean \bar{d} i and variance s i^2 of the paired difference across replicates.

Value at risk

VaR can be estimated either parametrically (for example, variance-covariance VaR or delta-gamma VaR) or nonparametrically (for examples, historical simulation VaR or resampled VaR).

Vysochanskij–Petunin inequality

In probability theory, the Vysochanskij–Petunin inequality gives a lower bound for the probability that a random variable with finite variance lies within a certain number of standard deviations of the variable's mean, or equivalently an upper bound for the probability that it lies further away.


see also