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Grassmann numbers are individual elements or points of the exterior algebra generated by a set of n Grassmann variables or Grassmann directions or supercharges {}, with n possibly being infinite. The usage of the term "Grassmann variables" is historic; they are not variables, per se ; they are better understood as the basis elements of a unital ...
CGE modelling of richer economies descends from Leif Johansen's 1960 [4] MSG model of Norway, and the static model developed by the Cambridge Growth Project [5] in the UK. Both models were pragmatic in flavour, and traced variables through time. The Australian MONASH model [6] is a modern representative of this class. Perhaps the first CGE ...
Variables are defined using the assignment operator, =. MATLAB is a weakly typed programming language because types are implicitly converted. [38] It is an inferred typed language because variables can be assigned without declaring their type, except if they are to be treated as symbolic objects, [39] and that their type can change.
Marginal distribution. In probability theory and statistics, the marginal distribution of a subset of a collection of random variables is the probability distribution of the variables contained in the subset. It gives the probabilities of various values of the variables in the subset without reference to the values of the other variables.
Generalized estimating equation. In statistics, a generalized estimating equation (GEE) is used to estimate the parameters of a generalized linear model with a possible unmeasured correlation between observations from different timepoints. [1][2] Although some believe that GEEs are robust in everything [who?], even with the wrong choice of ...
The distribution is called "folded" because probability mass to the left of x = 0 is folded over by taking the absolute value. In the physics of heat conduction, the folded normal distribution is a fundamental solution of the heat equation on the half space; it corresponds to having a perfect insulator on a hyperplane through the origin.
The analysis of the null space of matrices is implemented in software packages specialized for matrix operations such as Matlab and Octave. Determination of the null space of S {\displaystyle \scriptstyle \mathbf {S} } tells us all the possible collections of flux vectors (or linear combinations thereof) that balance fluxes within the ...
Slack variable. In an optimization problem, a slack variable is a variable that is added to an inequality constraint to transform it into an equality constraint. A non-negativity constraint on the slack variable is also added. [1]: 131. Slack variables are used in particular in linear programming.