least squares fitting

  • 121Generalized linear model — In statistics, the generalized linear model (GLM) is a flexible generalization of ordinary least squares regression. It relates the random distribution of the measured variable of the experiment (the distribution function ) to the systematic (non …

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  • 122Fityk — Infobox Software name = Fityk caption = Fityk under Ubuntu Linux developer = Marcin Wojdyr latest release version = 0.8.2 latest release date = August 20, 2007 operating system = Cross platform genre = Curve fitting license = GPL website =… …

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  • 123Pearson's chi-squared test — (χ2) is the best known of several chi squared tests – statistical procedures whose results are evaluated by reference to the chi squared distribution. Its properties were first investigated by Karl Pearson in 1900.[1] In contexts where it is… …

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  • 124Mathematical optimization — For other uses, see Optimization (disambiguation). The maximum of a paraboloid (red dot) In mathematics, computational science, or management science, mathematical optimization (alternatively, optimization or mathematical programming) refers to… …

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  • 125Median — This article is about the statistical concept. For other uses, see Median (disambiguation). In probability theory and statistics, a median is described as the numerical value separating the higher half of a sample, a population, or a probability… …

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  • 126Propagation of uncertainty — In statistics, propagation of uncertainty (or propagation of error) is the effect of variables uncertainties (or errors) on the uncertainty of a function based on them. When the variables are the values of experimental measurements they have… …

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  • 127Yield curve — This article is about yield curves as used in finance. For the term s use in physics, see Yield curve (physics). Not to be confused with Yield curve spread – see Z spread. The US dollar yield curve as of February 9, 2005. The curve has a typical… …

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  • 128Predictive analytics — encompasses a variety of techniques from statistics and data mining that analyze current and historical data to make predictions about future events. Such predictions rarely take the form of absolute statements, and are more likely to be… …

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