to get a location-scale model. The generalized gamma distribution is fit using the log lifetimes. The regression parameters ,the scale parameter , and the shape parameter are jointly estimated. An ...

To ensure the accuracy of mathematical models, model parameters must be estimated using experimental data, a process called regression. Also, pre-regression and post-regression diagnostics must be ...

Beside the model, the other input into a regression analysis is some relevant sample data, consisting of the observed values of the dependent and explanatory variables for a sample of members of the ...

Nonlinear estimation algorithms are required for obtaining estimates of the parameters of a regression model with innovations having an ARMA structure. The three estimation methods employed by the ...

Say you want to estimate the growth in meat sales ... multiple regression if it involves several independent variables. Regression models also can pinpoint more complex relationships between ...

Explanatory variables are implied volatilities ... The model is relatively easy to estimate, which facilitates practical application. Our quantile regression implied moments model is subjected to ...

The models estimate pipeline construction component ... of variability as explainable by the independent variables and the regression models' validity. Assumption of normality claims residuals ...

In a hedonic regression model, the dependent variable ... The resulting estimated coefficients on the independent variables can be interpreted as the weights that buyers place on the various ...

The aim of this paper is to develop a new method for estimating option Greeks by using random parameters and leastsquares regression. Our approach has ... derivative of the underlying stochastic model ...