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  2. Functional data analysis - Wikipedia

    en.wikipedia.org/wiki/Functional_data_analysis

    Functional data analysis (FDA) is a branch of statistics that analyses data providing information about curves, surfaces or anything else varying over a continuum. In its most general form, under an FDA framework, each sample element of functional data is considered to be a random function.

  3. Characteristic function (probability theory) - Wikipedia

    en.wikipedia.org/wiki/Characteristic_function...

    This function is real-valued because it corresponds to a random variable that is symmetric around the origin; however characteristic functions may generally be complex-valued. In probability theory and statistics, the characteristic function of any real-valued random variable completely defines its probability distribution.

  4. Power (statistics) - Wikipedia

    en.wikipedia.org/wiki/Power_(statistics)

    [11] [12] Falling for the temptation to use the statistical analysis of the collected data to estimate the power will result in uninformative and misleading values. In particular, it has been shown that post-hoc "observed power" is a one-to-one function of the p -value attained. [ 11 ]

  5. F-test - Wikipedia

    en.wikipedia.org/wiki/F-test

    This is perhaps the best-known F-test, and plays an important role in the analysis of variance (ANOVA). F test of analysis of variance (ANOVA) follows three assumptions Normality (statistics) Homogeneity of variance; Independence of errors and random sampling; The hypothesis that a proposed regression model fits the data well.

  6. Regression analysis - Wikipedia

    en.wikipedia.org/wiki/Regression_analysis

    In statistical modeling, regression analysis is a set of statistical processes for estimating the relationships between a dependent variable (often called the outcome or response variable, or a label in machine learning parlance) and one or more error-free independent variables (often called regressors, predictors, covariates, explanatory ...

  7. Statistics - Wikipedia

    en.wikipedia.org/wiki/Statistics

    A typical "Business Statistics" course is intended for business majors, and covers [71] descriptive statistics (collection, description, analysis, and summary of data), probability (typically the binomial and normal distributions), test of hypotheses and confidence intervals, linear regression, and correlation; (follow-on) courses may include ...

  8. Kernel (statistics) - Wikipedia

    en.wikipedia.org/wiki/Kernel_(statistics)

    In statistics, especially in Bayesian statistics, the kernel of a probability density function (pdf) or probability mass function (pmf) is the form of the pdf or pmf in which any factors that are not functions of any of the variables in the domain are omitted. [1] Note that such factors may well be functions of the parameters of the

  9. Analytic function - Wikipedia

    en.wikipedia.org/wiki/Analytic_function

    Piecewise defined functions (functions given by different formulae in different regions) are typically not analytic where the pieces meet. The complex conjugate function z → z * is not complex analytic, although its restriction to the real line is the identity function and therefore real analytic, and it is real analytic as a function from R ...