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अंग्रेजी-हिंदी > exogenous variable उदाहरण वाक्य

exogenous variable उदाहरण वाक्य

उदाहरण वाक्य
11.Then, if w contains at least one exogenous variable that is not in z, ? can be estimated by 2SLS using ( z, w ) as instruments.

12.Simultaneous equation methods are used in econometrics to estimate models in which multiple interdependent variables of interest are determined by equations involving each other and exogenous variables.

13.Some economists, however, forecast that the figure could be higher for there is always the problem of exogenous variables, things that happen outside the economic system that we cannot predict.

14.For an equation in a system of equations to be identified, the number of excluded exogenous variables in that equation must be at least as great as the number of included endogenous variables, less one.

15.More specifically, the " order condition " requires that for each equation, which can be phrased as  the number of excluded exogenous variables is greater or equal to the number of included endogenous variables.

16.The Sargan Hansen test statistic can be calculated as TR ^ 2 ( the number of observations multiplied by the coefficient of determination ) from the OLS regression of the residuals onto the set of exogenous variables.

17.The most common test of these " overidentifying restrictions ", called the Sargan Hansen test, is based on the observation that the residuals should be uncorrelated with the set of exogenous variables if the instruments are truly exogenous.

18.External risks arise from factors ( exogenous variables, which cannot be controlled ) such as economic factors ( market risks, pricing pressure ), natural factors ( floods, earthquakes ), political factors ( compliance and regulations of government ).

19.Two main components of models are distinguished in SEM : the " structural model " showing potential causal dependencies between endogenous and exogenous variables, and the " measurement model " showing the relations between latent variables and their indicators.

20.In the first stage, each explanatory variable that is an endogenous covariate in the equation of interest is regressed on all of the exogenous variables in the model, including both exogenous covariates in the equation of interest and the excluded instruments.

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