error variable造句
例句與造句
- The width of this range, in units of the error variable and therefore of the PV, is called the " proportional band " ( PB ).
- TScript has a global error variable similar to the traditional errno in C, although the error variable in TScript is capable to holding both an error code and a detailed error message.
- TScript has a global error variable similar to the traditional errno in C, although the error variable in TScript is capable to holding both an error code and a detailed error message.
- It must be kept in mind that we can choose the regression coefficients ourselves, and very often can use them to offset changes in the parameters of the error variable's distribution.
- The choice of modeling the error variable specifically with a standard logistic distribution, rather than a general logistic distribution with the location and scale set to arbitrary values, seems restrictive, but in fact it is not.
- It's difficult to find error variable in a sentence. 用error variable造句挺難的
- where \ varepsilon _ i is a " disturbance term " or " error variable " an unobserved random variable that adds noise to the linear relationship between the dependent variable and predictor function.
- As a result, discrete choice models are usually described primarily with a latent variable indicating the " utility " of making a choice, and with randomness introduced through an error variable distributed according to a specific probability distribution.
- This is true for any random variable with distribution \ mathcal { N } ( 0, \, \ frac { 1 } { 2 } ); but the application to error variables is how the error function got its name.
- This formulation which is standard in discrete choice models makes clear the relationship between logistic regression ( the " logit model " ) and the probit model, which uses an error variable distributed according to a standard normal distribution instead of a standard logistic distribution.
- Binary regression models, however, dispense with both the latent and error variable and assume that the choice itself is a random variable, with a link function that transforms the expected value of the choice variable into a value that is then predicted by the linear predictor.
- It can be shown that the two are equivalent, at least in the case of binary choice models : the link function corresponds to the quantile function of the distribution of the error variable, and the inverse link function to the cumulative distribution function ( CDF ) of the error variable.
- It can be shown that the two are equivalent, at least in the case of binary choice models : the link function corresponds to the quantile function of the distribution of the error variable, and the inverse link function to the cumulative distribution function ( CDF ) of the error variable.