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Discover LudwigThe phrase "sample estimate" is grammatically correct and commonly used in written English.
It is used to refer to an estimate or approximation based on a small portion or sample of a larger group or population. Example: "The statistician conducted a survey with a sample size of 1000 to obtain a more accurate sample estimate of the population's voting preferences."
Exact(53)
The date is uncertain; archaeologists place it in the 7th century, whereas runologists, citing transitional rune forms and the relatively modern language of the sample, estimate the 8th or even the 9th century.
Note that, A E m, n f y is the sample estimate of A E f y.
A more general perspective, applicable to any finite sample estimate, is that there is just one filter, a filter whose coefficients change with t.
Bias in the average sample estimate of mean stem volume, as a percentage of the average estimate, by stand and sampling method.
Since the target population is less than 10,000, the final sample estimate (nf) was calculated as follows: mathrm{n}mathrm{f} = n 1kern0.5em +kern/N5em n/N.
where τ ^ k NSCM = tr{ X ˜ k X ˜ k H } J ( N − P ) is the sample estimate of the local disturbance power in the reference range cells.
Similar(7)
To be more specific, in the first term of (14) is an (one-sample) unbiased estimate of with the observed signal strength of the detection at scan, and in the second term is also an one-sample estimate of with the unobserved but estimated signal strength of the missed detection at scan.
It is clear from (2) that we cannot estimate the error in an out-of-sample estimate of the AGB in a single tree unless we have reasonable estimates of (hat{sigma }_{e}^{2}) and (hat{text{cov}}left( {{hat{mathbf{b}}}} right)).
However, the value of ICC was 0.338, smaller than that of the full-sample estimate 0.389.
Under Strategy 2, the combined temporal estimate is = 44.6 while the combined single-sample estimate is = 30.7 (Table A1).
The distribution of the deviations of replicates from the original-sample estimate mimics the underlying sampling distribution for the estimate.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com