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The phrase "a full estimation" is correct and usable in written English.
It can be used when referring to a comprehensive assessment or evaluation of something, often in contexts like project planning or budgeting.
Example: "Before we proceed, we need to conduct a full estimation of the project's costs and timelines."
Alternatives: "a complete assessment" or "a thorough evaluation."
Exact(2)
Data on crime and protection are analyzed, but they are inadequate for a full estimation of the model.
The major limitation of this study is the lack of standardized GH and IGF1 measurements for all acromegaly patients that did not allow a full estimation of the influence of these polymorphisms on hormonal regulation and drug responsiveness.
Similar(58)
If a wider estimation range is required, N R can be decreased or the M&M method [12], which shows an almost full estimation range, can be employed.
We show that the new estimator obtains full estimation range of.
In this paper, we shall not follow this more general approach because full estimation of a collective and multi-sectoral labor supply model with taxes like ours has not been achieved yet.
Therefore, full estimation of as a set of separate unknown parameters results in a highly overparameterized precision matrix for ϕ, and Li, Banerjee, and McBean (2011) suggest that the individual elements are poorly identified from the data and are computationally expensive to update.
The lowest resolution unit, depicted on the right side of Figure 9, resembles a full disparity estimation unit: for a given reference window b r, the ZSAD costs are computed for all blocks in a scan window b s.
Studied zero-inflated distributions with the Bayesian point of view using the data augmentation algorithm [27], developed a full Bayesian estimation method of zero-inflated regression model by Gibbs sampling.
Much work would remain to be done to work an in-depth analysis of the financial and economic crisis with the model: a full empirical estimation would be required and simulations of multiple shocks and policy scenarios be worked out to take more into account the complexity of it.
The GLMM maximum likelihood procedure is a full information estimation procedure that uses all data present at each assessment point, which reduced sampling bias associated with participant attrition.
It would also be computationally very demanding, as the full estimation procedure would have to be repeated a number of times.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com