Minimum relevant variables in linear system (Min-RVLS) is a problem in mathematical optimization. Given a linear program, it is required to find a feasible...

problem Metric k-center / vertex k-center problem Minimum relevant variables in linear system Minimum spanning tree Nurse scheduling problem Ring star...

independent variables, x and z, say. In the most general case there may be one or more independent variables and one or more dependent variables at each data...

variable. As in linear regression, the outcome variables Yi are assumed to depend on the explanatory variables x1,i ... xm,i. Explanatory variables The...

a set of p {\displaystyle p} variables is the derived variable formed as a linear combination of the original variables that explains the most variance...

different variables. However, two variables in use at the same time cannot be assigned to the same register without corrupting one of the variables. If there...

multicollinearity refers to a situation where the predictive variables have an exact linear relationship. When there is perfect collinearity, the design...

compatible and incompatible variables. Simultaneous measurement of a complete set of compatible variables prepares the system in a unique state. The state...

discontinuity design requires that all potentially relevant variables besides the treatment variable and outcome variable be continuous at the point where the treatment...

algorithms: linear, binary, and hashing. Linear search algorithms check every record for the one associated with a target key in a linear fashion. Binary...

hypothesized to influence it, called independent variables or explanatory variables. A functional form, often linear, is hypothesized for the postulated causal...

variables that tend to be more accurate than those based on a single measurement, by estimating a joint probability distribution over the variables for...

state variables. Stochastic control aims to design the time path of the controlled variables that performs the desired control task with minimum cost,...

with continuous variables are normally solved more easily. Design variables are often bounded, that is, they often have maximum and minimum values. Depending...

joint variations in response to unobserved latent variables. The observed variables are modelled as linear combinations of the potential factors plus "error"...

Nomograms for more than three variables can be constructed by incorporating a grid of scales for two of the variables, or by concatenating individual...

causality, and in particular to draw a conclusion on the effect of changes in the values of predictors or independent variables on dependent variables. There...

does not consider the distribution of the individual variables, but rather that those variables do not exceed their respective specified limits. This...

squares parameter fitting, can be derived analytically in explicit form when the relevant variables are normally distributed. A normal distribution is sometimes...

In machine learning, feature selection is the process of selecting a subset of relevant features (variables, predictors) for use in model construction...

22 °C. Interval type variables are sometimes also called "scaled variables", but the formal mathematical term is an affine space (in this case an affine...

procedure, the properties of observations are termed explanatory variables (or independent variables, regressors, etc.), and the categories to be predicted are...

more independent variables, also referred to as "input variables" or "predictor variables." The change in one or more independent variables is generally hypothesized...

the particle. In all scientific measurement, there exists a degree of error due to various factors, such as unaccounted-for variables, imperfect procedures...

linear that LTI system theory is an acceptable representation of their input-output behavior. Descriptions are given in terms of a complex variable,...

to separate the effects of minimum wage from all the other variables that affect employment. Studies have found that minimum wages have the following positive...

A minimum energy performance standard (MEPS) is a specification, containing a number of performance requirements for an energy-using device, that effectively...

that cost, depending upon a number of variables. Further uses of engineering economics include: Value analysis Linear programming Critical path economy Interest...

sciences, medicine, social systems and many more. A nonlinear system is defined as any system that is not linear, that is any system that does not satisfy...

number linear combinations of the variables are separating variables. When the separating variable is chosen, the RUR exists and is unique. In particular...