error variance वाक्य
उदाहरण वाक्य
मोबाइल
- Ideally, the reconstruction formula is derived by minimizing the expected error variance.
- Properties of the VAR model are usually summarized using structural analysis using forecast error variance decompositions.
- Also, the area under RROC curves is proportional to the error variance of the regression model.
- Good quality measures need to have high satisfaction loadings, good reliability, and low error variances.
- Linear regression assumes homoscedasticity, that the error variance is the same for all values of the criterion.
- Logistic regression will always be heteroscedastic the error variances differ for each value of the predicted score.
- It loaded most highly on satisfaction, had the highest item reliability, and had by far the lowest error variance across both studies.
- It determines how much of the forecast error variance of each of the variables can be explained by exogenous shocks to the other variables.
- It is important to notice that the squared residuals cannot be used in the previous expression; we need an estimator of the errors variances.
- Variation across raters in the measurement procedures and variability in interpretation of measurement results are two examples of sources of error variance in rating measurements.
- From the point of view of exploratory analysis, the eigenvalues of PCA are inflated component loadings, i . e ., contaminated with error variance.
- The amount of forecast error variance of variable j accounted for by exogenous shocks to variable k is given by \ omega _ { jk, h },
- In a random effects model, \ epsilon _ { it } is assumed to vary stochastically over i or t requiring special treatment of the error variance matrix.
- Each element of the diagonal weight matrix "'W "'should, ideally, be equal to the reciprocal of the error variance of the measurement.
- First, the F-statistic to test for overall significance of the regression may be inflated under positive serial correlation because the mean squared error ( MSE ) will tend to underestimate the population error variance.
- This equation, which formulates a signal-to-noise ratio, has intuitive appeal : The reliability of test scores becomes higher as the proportion of error variance in the test scores becomes lower and vice versa.
- If an autoregressive moving average model ( ARMA model ) is assumed for the error variance, the model is a "'generalized autoregressive conditional heteroscedasticity "'( "'GARCH ) "'model.
- With this in mind, he teamed up with two other members and developed a " random model " ( introduced by the British statistician R . A . Fisher ) where he was determined to figure out the complexities of error variance.
- In regression analysis, the term " mean squared error " is sometimes used to refer to the unbiased estimate of error variance : the residual sum of squares divided by the number of consistent, given the consistency of the predictor.
- This test statistic corresponds to an F-test of equality of variances, and a one-or two-sided test may be appropriate depending on whether or not the direction of the supposed relation of the error variance to the explanatory variable is known.
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