With this in mind, this article considers the Bayesian A- and D-optimal designs of the two- and three-parameter Gamma regression model. In this regard, we first obtain the Fisher information matrix of the proposed model and then calculate the Bayesian A- and D-optimal designs assuming ...
Use the gamma regression model if you have a positive-valued dependent variable such as the number of years a parliamentary cabinet endures, or the seconds you can stay airborne while jumping. The gamma distribution assumes that all waiting times are complete by the end of the study (censoring...
The gamma generalized linear regression model, also known as the gamma distribution, is a type of generalized linear model (GLM) used for regression analysis when the dependent variable follows a gamma distribution. In a gamma GLM, the response variable (dependent variable) is assumed to follow ...
A gamma regression model which has wide application in life-testing and analysis of point processes is considered. Approximate statistical tests for the regression coefficients based on maximum likelihood and weighted least squares fits of the model are considered. The power and significance level proper...
Gamma regressionLocally optimal designPrior informationObjective: Evaluation of the quality of educational services provided to students and determination of the difference between the status quo and expected situation can provide the basis to develop programs to improve the quality of educational services....
Dots are 5-second means of gamma or delta-band power in the mPFC signal. (j) Sigma power decayed exponentially with the emergence of gamma in REM and wake (nonlinear least-squares regression, r = 0.97). (k) Normalized gamma power measurements, centered to the onset of spindles, showing ...
In particular, given the restriction that the index of the parabolic cylinder function is negative, the last equation of (A7) applies whenp−1<0. With our use of the parameterr=−p, this restriction translates tor>−1, which is always satisfied in our application. Therefore the equatio...
In this article, we proposed some influence diagnostics for the gamma regression model (GRM) and the gamma ridge regression model (GRRM). We assess the impact of influential observations on the GRM and GRRM estimates by extending the work of Pregibon [Logistic regression diagnostics. Ann Stat. ...
A regression method for calculating γ-rays buildup factor is proposed based on ET and ANS standard database in this paper. The ET regression model is established. By testing the accuracy and efficiency of the ET model, the feasibility of the proposed method is verified. The significance of ...
The three types of models which are fitted to the data are outlined in Sections 3.1 Zero adjusted gamma model, 3.2 Ordinary least squares with beta transformation model, 3.3 Tobit regression model. In order to set up the model for the zero-adjusted gamma approach, an investigation into the lo...