In linear regression or accelerated failure time models, complications in efficient estimation arise from the multiple roots of the efficient score and density estimation. This paper proposes a ...
The generalized linear model (Nelder & Wedderburn, 1972) has become an elegant and practical option to classical least-squares linear model building. We consider the specific problem of generalized ...
This course has a broad structure and covers many aspects of modeling and estimating financial/economic time series. In particular, we will be focusing on (i) linear regression models involving ...
Using auxilary information, you can construct the regression estimators to provide more accurate estimates of the population characteristics that are of interest. With ESTIMATE statements in PROC ...
The regression estimator to estimate the total corn yield under Model I can be obtained by using PROC SURVEYREG with an ESTIMATE statement. title1 'Estimate Corn Yield from Farm Size'; title2 'Model I ...
Research under classical statistics often relies on precise, determinate data to estimate population parameters. However, in certain situations, data may be indeterminate or imprecise. Neutrosophic ...
During the course of operation, businesses accumulate all kinds of data such as numbers related to sales performance and profit, and information about clients. Companies often seek out employees with ...
DoWhy does not appear to allow for the use of generalized_linear_model_estimator.GeneralizedLinearModelEstimator with mediation analysis due to "missing backdoor ...
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