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In statistics and numerical analysis, isotonic regression or monotonic regression is the technique of fitting a free-form line to a sequence of observations such that the fitted line is non-decreasing (or non-increasing) everywhere, and lies as close to the observations as possible.
ISO 1 is an international standard set by the International Organization for Standardization that specifies the standard reference temperature for geometrical product specification and verification. The temperature is fixed at 20 degrees Celsius (°C), which exactly equals both 293.15 kelvin (K) and 68 degrees Fahrenheit (°F).
In the 2-dimensional case, if the density exists, each iso-density locus (the set of x 1,x 2 pairs all giving a particular value of ()) is an ellipse or a union of ellipses (hence the name elliptical distribution). More generally, for arbitrary n, the iso-density loci are unions of ellipsoids. All these ellipsoids or ellipses have the common ...
Wherever you want to add the proton or neutron drip line to the chart, add the option |drip= with one of the values t (top), r (right), tr (top-right), tl (top-left), trb (top-right-bottom), tb (top-bottom), tlr (top-left-right), b (bottom), l (left), bl (bottom-left), br (bottom-right), blr (bottom-left-right), lr (left-right), or tlb (top-left-bottom) to the cell template Iso1 or Iso2, as ...
ISO 683 Heat-treatable steels, alloy steels and free-cutting steels ISO 683-1:2016 Part 1: Non-alloy steels for quenching and tempering; ISO 683-2:2016 Part 2: Alloy steels for quenching and tempering; ISO 683-3:2022 Part 3: Case-hardening steels; ISO 683-4:2016 Part 4: Free-cutting steels; ISO 683-5:2017 Part 5: Nitriding steels
In probability theory and statistics, the index of dispersion, [1] dispersion index, coefficient of dispersion, relative variance, or variance-to-mean ratio (VMR), like the coefficient of variation, is a normalized measure of the dispersion of a probability distribution: it is a measure used to quantify whether a set of observed occurrences are clustered or dispersed compared to a standard ...
These are also known as heteroskedasticity-robust standard errors (or simply robust standard errors), Eicker–Huber–White standard errors (also Huber–White standard errors or White standard errors), [1] to recognize the contributions of Friedhelm Eicker, [2] Peter J. Huber, [3] and Halbert White. [4]
In statistics, the uncertainty coefficient, also called proficiency, entropy coefficient or Theil's U, is a measure of nominal association. It was first introduced by Henri Theil [citation needed] and is based on the concept of information entropy.