“estimation”造句，怎么用estimation造句

We must be realistic in our self-estimation, neither being conceited nor belittling ourselves.

This input parameter specifies the percentage of data to be used in the data skew estimation.

You can build this estimation method into your tracking spreadsheet, or you can use it in a separate form.

The table of repetition intervals presented earlier is only a rough estimation of the average learner case.

Cardinality estimation is a process by which the optimizer USES statistics to determine the size of partial query results after predicates are applied or aggregation is performed.

I think I can outsource a lot of the project and save some money; RMC has an estimation feature to help me verify that.

It turns out that the author who wrote of time machines, invisibility and utopia was too conservative in his estimation of English.

I think some credit banks and financial institutions have been too pessimistic in their estimation and evaluation of this ncident in believing that China is experiencing a financial crisis and that China has no payment capabilities and that China is no longer creditworthy.

Linear minimum variance estimation

In my estimation, the applicant is well qualified for this job.

You should account for the overhead of implementing and maintaining this automation during effort estimation and project planning.

Note that severity of risk is directly related to the variance in the estimation of a project's parameters.

Basically, accurate prediction and estimation requires the existence of an algorithm, or a step-by-step problem solving procedure with a finite number of well defined steps.

Reduced variance in estimation.

The concert model provides us with a quantitative estimation method of empirical newness.

Most neutral observers consider this an exaggeration: the army's estimation of enemy losses tends to be based more on hope than corpses.

For this kind of modeling, people care for not only the estimation of regressive coefficient but also the estimation of unknown parameters in conditional skedasticity.

I think we could make some estimation of its significance if we juxtapose it with Comus since the Mask attempts to tackle, in a much more expanded form, so many of the same issues.

By doing so, you document a "best effort" process, capture actual results with which to calibrate your estimation models.