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Discover Ludwig'interval estimation' is correct and usable in written English.
You can use it when you want to estimate the range of values that a given parameter falls between. For example, you might use interval estimation to calculate 95% confidence intervals for the mean of a given population.
Exact(59)
A conservative approach of interval estimation was used to estimate the dispersion of the fold-change values.
The subsequent posterior distribution (or likelihood density) can be used for point and interval estimation of θ, and numerical methods readily yield estimates for various functions of θ.
For interval estimation on the model parameters, we can evaluate the estimated observed information matrix (J widehat {boldsymbol {theta }})) numerically.
See also interval estimation.
Interval estimation incorporates a probability statement about the magnitude of the sampling error.
The most fundamental point and interval estimation process involves the estimation of a population mean.
Point and interval estimation procedures such as these can be applied to other population parameters as well.
For instance, interval estimation of a population variance, standard deviation, and total can be required in other applications.
Data analyses focused on effect size and interval estimation.
Furthermore, the first-order Taylor interval expansion method is developed for interval estimation of structural responses.
Then, some techniques for interval estimation are developed in continuous-time.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com