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To examine the estimation formula and the associated formulae, experimental data is obtained by impulsively exciting the circular plate in the axial direction, and then measuring the intensity of the radiated sound power.
Here, we develop a spatially explicit theory for population estimation that allows us to examine the estimation precision under different survey designs and individual distribution patterns (e.g. random/clustered sampling and individual distribution).
In the first example, we examine the estimation accuracy of the proposed algorithm versus the SNRs.
In a similar fashion, we examine the estimation errors in the methods of Horiuchi-Coale (2) and Mitra (3) and in the extrapolation method where death rates are extrapolated into the open age interval based on their rate of increase at younger age.
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Effect of the proposed design is fully verified by examining the estimation performance.
This chapter examines the estimation of local receptor density and other parameters through multiple-injection positron emission tomography (PET) experiments.
Observability is quantified by examining the estimation error in a series of identical-twin experiments varying data density, tide wavelength, assumed (versus actual) topographic correlation scale, and friction.
This study simulates and examines the estimation efficiency of RP/SP models based on the D-error considering both error structures and attribute differences.
To investigate whether this difference was significant, we examined the estimation errors of the tectonic stress field in the same way as in "Estimation errors of the regional stress field around Mt. Ontake" section (Fig. 4b).
Thus, following Bollerslev (1987); Vee, Gonpot, and Sookia (2011); and Çağlayan, Ün, and Dayıoğlu (2013), we examined the estimation results using Student's t-distribution for the error terms.
Examining the estimation procedure for r GEBV we found that the increase was due to smaller estimates of the diagonal elements of the genomic relationship matrix between the validation elements (G V) in the scenario with all imputed genotypes.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com