Exact(1)
Studies in the literature among other estimation types generally made use of the ordinary least square (OLS) regression technique for examining factors that affect entrepreneurial intention as a binary response dependent variable.
Similar(59)
This paper reviews and compares the models from the points of view of time scale and estimation type for the first time.
It also does not appear very sensitive to estimation type or corrections for serial correlation.
Then we can derive an estimation type result related to Fejér inequality.
In what follows, we replace this assumption with the boundedness of the derivative and with a Lipschitzian condition for the derivative of the considered function to obtain new estimation type results.
So in this section instead of the convexity of derivative we consider the boundedness of the derivative and a Lipschitzian condition for the derivative of the considered function respectively to obtain new estimation type results.
Table 1 Application of different types of ANNs in the well-testing model diagnosis and parameter estimation Type of ANN MLP GRNN PNN ANN task Estimation (regression) Estimation (regression) Classification/prediction ANN Output Permeability Wellbore storage coefficient Inter-porosity flow coefficient Skin factor Storativity ratio Type of reservoir model.
We conducted computer simulations to assess the performance (parameter estimation, type 1 error and power) of our multinomial likelihood modeling approach for case/mother duos, with or without the inclusion of a separate control sample as described above.
All regression analyses included study methods (function and estimation type used in the models), whether the study was published in a peer reviewed journal, the type of data (whether aggregate, cross sectional, panel, or scanner data), and the mean year of data collection as covariates.
The literature of channel estimation classifies the estimator types into two main categories: Decision directed and pilot-aided channel estimation (PACE).
By specifying MAX, it is possible to do sophisticated variance-estimation type noise reduction processing in which the sensor image data's noise variance is analyzed and the optimum processing is done for each region.
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