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Dots indicate estimates of bootstrap tests.
This paper proposes several bootstrap tests for autocorrelation.
Fig. 12. Probability distribution of the estimated source depths derived from bootstrap tests.
Structural equation modeling and bootstrap tests of indirect effects were conducted to address the study aims.
Double open circles show the values of the optimum model and dots represent estimates of bootstrap tests.
We derive the asymptotic distribution of the bootstrap tests for general factorial designs and evaluate their performance in an extensive comparative simulation study.
The proposed bootstrap tests have asymptotic sizes that are less than or equal to the nominal level uniformly over probabilities in the null hypothesis under regularity conditions.
If, however, the log-likelihood is programmed in FORTRAN or C as opposed to MATLAB or R, the computation time may be reduced significantly, but performing bootstrap tests may still require a long time.
The phylogenetic analysis on the basis of amino acid sequences was performed with MEGA 6.0 (Tamura et al. 2011) using the Maximum Likelihood (ML) method with 1000 bootstrap tests.
However bootstrap tests [15] based on the Kolmogorov-Smirnov (KS) statistic show the estimated r-values are unlikely to arise from these distributions (p-values all less than 0.02).
The seasonal preferential use or avoidance of each habitat was tested by comparing, through bootstrap tests, the proportion of habitat occupied (piTh) with the proportion of available habitat in the entire landscape (piL).
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CEO of Professional Science Editing for Scientists @ prosciediting.com