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.\'101AD.TR4132Technical Report589 KP. Dunn1Accuracy of Parameter Estimates for Closely Spaced Optical TargetsDTIC DELETE 1 DEC3 1981BUsing Multiple Detectors23 October 1981 under Electron Syn ens
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Collect reliable and relevant data related to the parameter being estimated.
02
Choose an appropriate statistical model that best fits the data.
03
Use appropriate estimation techniques such as maximum likelihood estimation or method of moments to estimate the parameters of the model.
04
Check the assumptions of the model and assess the goodness of fit to ensure the accuracy of the parameter estimates.
05
Interpret the estimated parameters in the context of the problem being studied.

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Researchers, statisticians, data analysts, economists, social scientists, and anyone involved in quantitative research or data analysis that requires making inferences about populations based on sample data.
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The accuracy of parameter estimates refers to how closely the estimated values match the actual values in a statistical model.
Researchers, analysts, or individuals conducting statistical analysis are required to file accuracy of parameter estimates.
Accuracy of parameter estimates is typically filled out by comparing the estimated values with the actual values and documenting any discrepancies.
The purpose of accuracy of parameter estimates is to assess the reliability and validity of the statistical model being used.
Information such as estimated values, actual values, discrepancies, and any adjustments made to improve accuracy must be reported on accuracy of parameter estimates.
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