The phrase "alternative estimations" is correct and usable in written English.
It can be used when discussing different methods or approaches to estimating something, often in contexts like research, finance, or project management.
Example: "In our analysis, we considered several alternative estimations to ensure the accuracy of our projections."
Alternatives: "different assessments" or "varied calculations".
I have performed several alternative estimations.
Alternative estimations using dummy variables for September and October of 2009 present a short-run coefficient of 0.8.
Alternative estimations rejected robust geographical effects (we tested for differences in studies covering Latin America, Spain and the US vs. other OECD economies).
As heteroscedasticity is common incross-sectional data and small sample data, alternative estimations, mainlyheteroscedasticity consistent formulations, were employed in addition to OLSestimation.
The marginal effect of contact with relatives abroad on perceptions about the role of the state (rather than the individual) in creating jobs is also positive but lower for lower levels of development, although this finding is less robust to alternative estimations.
An alternative estimation is proposed here to estimate the instantaneous damping ratio without introducing new discontinuities.
The proposed models are then estimated with a number of alternative estimation methods and second stage statistical tests are implemented in order to decide which model and estimation method best represent the data.
In general, the estimated outputs under the four alternative estimation techniques are compatible with each other.
We discuss developments in the topics of the earlier review (e.g., methods for parallel-arm GRTs, individually randomized group-treatment trials, and missing data) and in new topics, including methods to account for multiple-level clustering and alternative estimation methods (e.g., augmented generalized estimating equations, targeted maximum likelihood, and quadratic inference functions).
In this paper we compare the forecasting accuracy of neural network weights estimated with BP to ones derived from an alternative estimation procedure, the genetic algorithm [R.S. Sexton, R.E.
The results are robust with respect to alternative estimation method and alternative measures of industry specialization.
