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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 ...
In abstract algebra, a subset of a field is algebraically independent over a subfield if the elements of do not satisfy any non-trivial polynomial equation with coefficients in . In particular, a one element set { α } {\displaystyle \{\alpha \}} is algebraically independent over K {\displaystyle K} if and only if α {\displaystyle \alpha } is ...
Exogenous variables are sometimes known as parameters or constants. The variables are not independent of each other as the state variables are dependent on the decision, input, random, and exogenous variables. Furthermore, the output variables are dependent on the state of the system (represented by the state variables).
, a vector in , are dependent variables for which no derivatives are present (algebraic variables), t {\displaystyle t} , a scalar (usually time) is an independent variable. F {\displaystyle F} is a vector of n + m {\displaystyle n+m} functions that involve subsets of these n + m + 1 {\displaystyle n+m+1} variables and n {\displaystyle n ...
Independence is a fundamental notion in probability theory, as in statistics and the theory of stochastic processes.Two events are independent, statistically independent, or stochastically independent [1] if, informally speaking, the occurrence of one does not affect the probability of occurrence of the other or, equivalently, does not affect the odds.
In this episode of Football 301, Nate Tice and Matt Harmon are ringing in the New Year with their resolutions for NFL teams as the playoff race heats up. Matt's resolutions focus on teams in the ...
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