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  2. Dependent and independent variables - Wikipedia

    en.wikipedia.org/wiki/Dependent_and_independent...

    A variable is considered dependent if it depends on an independent variable. Dependent variables are studied under the supposition or demand that they depend, by some law or rule (e.g., by a mathematical function), on the values of other variables. Independent variables, in turn, are not seen as depending on any other variable in the scope of ...

  3. Multivariate adaptive regression spline - Wikipedia

    en.wikipedia.org/wiki/Multivariate_adaptive...

    In statistics, multivariate adaptive regression splines (MARS) is a form of regression analysis introduced by Jerome H. Friedman in 1991. [1] It is a non-parametric regression technique and can be seen as an extension of linear models that automatically models nonlinearities and interactions between variables.

  4. Regression analysis - Wikipedia

    en.wikipedia.org/wiki/Regression_analysis

    The response variable may be non-continuous ("limited" to lie on some subset of the real line). For binary (zero or one) variables, if analysis proceeds with least-squares linear regression, the model is called the linear probability model. Nonlinear models for binary dependent variables include the probit and logit model.

  5. Linear discriminant analysis - Wikipedia

    en.wikipedia.org/wiki/Linear_discriminant_analysis

    The assumptions of discriminant analysis are the same as those for MANOVA. The analysis is quite sensitive to outliers and the size of the smallest group must be larger than the number of predictor variables. [8] Multivariate normality: Independent variables are normal for each level of the grouping variable. [10] [8]

  6. Linear independence - Wikipedia

    en.wikipedia.org/wiki/Linear_independence

    Linearly independent vectors in Linearly dependent vectors in a plane in .. In the theory of vector spaces, a set of vectors is said to be linearly independent if there exists no nontrivial linear combination of the vectors that equals the zero vector.

  7. Causal model - Wikipedia

    en.wikipedia.org/wiki/Causal_model

    Judea Pearl defines a causal model as an ordered triple ,, , where U is a set of exogenous variables whose values are determined by factors outside the model; V is a set of endogenous variables whose values are determined by factors within the model; and E is a set of structural equations that express the value of each endogenous variable as a function of the values of the other variables in U ...

  8. Una nueva época

    images.huffingtonpost.com/2012-10-11-Capitulo6...

    Emilio&Ontiveros Mauro&F.&Guillén Una&nueva&época Los&grandes&retos&del&sigloXXI Traducciónde JulioViñuelaDíaz& & & & & & & & & & & & & & & & & & & & & & & & &

  9. Linear variable differential transformer - Wikipedia

    en.wikipedia.org/wiki/Linear_variable...

    Cutaway view of an LVDT. Current is driven through the primary coil at A, causing an induction current to be generated through the secondary coils at B.. The linear variable differential transformer (LVDT) – also called linear variable displacement transformer, [1] linear variable displacement transducer, [2] or simply differential transformer [3] – is a type of electrical transformer ...