Sentence examples for estimation for this study from inspiring English sources

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The sample size estimation for this study was based on the cephalometric measurements presented by Proffit et al [22] and the American Board of Orthodontics-Cast Occlusal Grading System (ABO-COGS) scores presented in the report by Cansunar and Uysal [33].

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The risk estimates used for the AF estimation from this study were for non-smokers exposed to ETS at work: RR=1.15 (95% CI=1.04 1.28) for women and RR=1.29 (95% CI=0.93 1.78) for men.

According to the inclusion criteria, 359 Atlantic salmon farming sites were qualified for model estimation of this study.

The strength estimation for this comparative study depends on the variability of the staff behaviour between ORs.

The energy category corresponds to more than 50% of the total EF estimation for the studied company and, natural gas was the most required fuel for the processes.

For estimation purposes, this study systematically applied recently established techniques for the panel data models, such as LSDV and GMM (Arellano and Bond).

For estimation purposes, this study used the concept of β convergence as defined by Barro and Sala i Martin (1992) and applied GMM procedure suggested by Anderson and Hsiao (1981) and Arellano and Bond (1991).7 Furthermore, the study also used and compared the results with the Least Square Dummy Variable (LSDV) method for the panel data model.

So, to derive better models for solar radiation estimation, in this study we have proposed few models combining the effects of sunshine duration and other meteorological parameters.

The results of pitch estimation in this study confirm this effect for all hearing dummies.

In connection with applying reanalysis data for extreme wind estimation, this study investigates the use of a simple approach that corrects the smoothing effect in numerical modeling through adding in missing spectral information for relatively high, mesoscale frequencies.

For all estimations in this study, we used SAS PHREG procedure to fit the multiplicative model and a SAS macro for additive model.

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