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lognormal distribution

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Journal Article
Published: 01 December 1973
Journal of Sedimentary Research (1973) 43 (4): 1161–1166.
...Khalid Mahmood Abstract Methods of calculation and representation, examples of lognormal distribution of alluvial sand GeoRef, Copyright 2008, American Geological Institute. 1973 ...
Journal Article
Published: 01 May 2000
Journal of Sedimentary Research (2000) 70 (3): 456–460.
...G.M. Kondolf; A. Adhikari Abstract Krumbein and Tisdel (1940) suggested that the particle size distribution of a weathered source rock tends to follow the Rosin distribution, whereas with distance downstream, fluvially transported sediment tends to follow the lognormal distribution. This issue can...
FIGURES
Journal Article
Published: 01 February 2015
Vadose Zone Journal (2015) 14 (2): vzj2014.07.0096.
.... The required parameter constraint for getting the closed-form solution limited the model’s applicability for soils with wide pore-size distributions. The objective of this study was to improve the model by developing a new analytical solution based on a lognormal density function of the pore-size distribution...
FIGURES
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Statistics of lognormal distribution parameters. a) shows the distribution of σG (Equation 6) with distance rrup of all cases considered. b) shows the relationship of the parameters μG (Equation 5) and σG. The points on the hanging wall are shown in red, while symbol shape identifies the varied parameter in the logic tree that has the greatest impact on hazard estimates. These uncertainties are based on only uncertainties from isolated faults, and do not include other hazard sources, so actual uncertainties would be higher. In this figure, stations are considered on the hanging wall if they are on the hanging wall side of the fault trace or it's extension and rJB < 4 km for the fault model with 50° dip.
Published: 01 May 2018
Figure 7. Statistics of lognormal distribution parameters. a) shows the distribution of σ G ( Equation 6 ) with distance r rup of all cases considered. b) shows the relationship of the parameters μ G ( Equation 5 ) and σ G . The points on the hanging wall are shown in red, while
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Published: 01 August 2022
Table 4. Summary of the HAZUS lognormal distribution parameters used as the basis of the repair and recovery time priors Time parameter a Occupancy class Median value (days) Slight Moderate Extensive Complete Repair Single family dwelling 2 30 90 180
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Published: 01 August 2022
Table 3. Summary of the REDi lognormal distribution parameters used as the basis of the inspection and permit time priors Napa data temporal parameter REDi impeding factor REDi repair class REDi lognormal distribution parameters Median (days) Log-standard deviation
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Published: 05 June 2020
Table 2.— KS Test for lognormal distribution of slope-failure-induced (SF) and flood-induced (RF) types from studied sections.
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Lognormal distribution chosen for interevent times in a cluster.
Published: 02 October 2018
Figure 10. Lognormal distribution chosen for interevent times in a cluster.
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Percentile plots showing the lognormal distribution of joint spacing in the study area. δ/Std. Dev. = standard deviation; μ = geometric mean; NE = northeast; SE = southeast.
Published: 01 June 2017
Figure 19. Percentile plots showing the lognormal distribution of joint spacing in the study area. δ/Std. Dev. = standard deviation; μ = geometric mean; NE = northeast; SE = southeast.
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Published: 05 April 2016
Table 1 Maximum‐Likelihood Estimation of the Lognormal Distribution for D Database N ev * N rot † M w−min / M w−max ‡ MLE Parameters § Kolmogorov–Smirnov Test ‖ Wilcoxon Rank‐Sum Test ‖ ALL 184 1004 (2053) 4.3/8.5 a =−2.6 (−2.6, −2.2) b =0.84 (0.78
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Published: 05 April 2016
Table 1 Maximum‐Likelihood Estimation of the Lognormal Distribution for D Database N ev * N rot † M w−min / M w−max ‡ MLE Parameters § Kolmogorov–Smirnov Test ‖ Wilcoxon Rank‐Sum Test ‖ ALL 184 1004 (2053) 4.3/8.5 a =−2.6 (−2.6, −2.2) b =0.84 (0.78
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Published: 05 April 2016
Table 1 Maximum‐Likelihood Estimation of the Lognormal Distribution for D Database N ev * N rot † M w−min / M w−max ‡ MLE Parameters § Kolmogorov–Smirnov Test ‖ Wilcoxon Rank‐Sum Test ‖ ALL 184 1004 (2053) 4.3/8.5 a =−2.6 (−2.6, −2.2) b =0.84 (0.78
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Published: 05 April 2016
Table 1 Maximum‐Likelihood Estimation of the Lognormal Distribution for D Database N ev * N rot † M w−min / M w−max ‡ MLE Parameters § Kolmogorov–Smirnov Test ‖ Wilcoxon Rank‐Sum Test ‖ ALL 184 1004 (2053) 4.3/8.5 a =−2.6 (−2.6, −2.2) b =0.84 (0.78
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Published: 05 April 2016
Table 1 Maximum‐Likelihood Estimation of the Lognormal Distribution for D Database N ev * N rot † M w−min / M w−max ‡ MLE Parameters § Kolmogorov–Smirnov Test ‖ Wilcoxon Rank‐Sum Test ‖ ALL 184 1004 (2053) 4.3/8.5 a =−2.6 (−2.6, −2.2) b =0.84 (0.78
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Published: 05 April 2016
Table 1 Maximum‐Likelihood Estimation of the Lognormal Distribution for D Database N ev * N rot † M w−min / M w−max ‡ MLE Parameters § Kolmogorov–Smirnov Test ‖ Wilcoxon Rank‐Sum Test ‖ ALL 184 1004 (2053) 4.3/8.5 a =−2.6 (−2.6, −2.2) b =0.84 (0.78
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Published: 05 April 2016
Table 1 Maximum‐Likelihood Estimation of the Lognormal Distribution for D Database N ev * N rot † M w−min / M w−max ‡ MLE Parameters § Kolmogorov–Smirnov Test ‖ Wilcoxon Rank‐Sum Test ‖ ALL 184 1004 (2053) 4.3/8.5 a =−2.6 (−2.6, −2.2) b =0.84 (0.78
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Sensitivity of PFF to parameter values of the lognormal distribution. For tests with variation of the geometric mean, the geometric standard deviation was fixed at 3.0. For tests with variation of the geometric standard deviation, the geometric mean was fixed at 5.08 mm/h, the value optimized for Storm 2001-10-01.
Published: 01 February 2016
Fig. 6. Sensitivity of PFF to parameter values of the lognormal distribution. For tests with variation of the geometric mean, the geometric standard deviation was fixed at 3.0. For tests with variation of the geometric standard deviation, the geometric mean was fixed at 5.08 mm/h, the value
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The histogram and corresponding normal and lognormal distribution of (a) VS30; and (b) VS5. (The thick dashed curve corresponds to the lognormal distribution, and the thick continuous line corresponds to the normal distribution.)The color version of this figure is available only in the electronic edition.
Published: 12 January 2016
Figure 4. The histogram and corresponding normal and lognormal distribution of (a)  V S 30 ; and (b)  V S 5 . (The thick dashed curve corresponds to the lognormal distribution, and the thick continuous line corresponds to the normal distribution.)The color version of this figure is available
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Published: 01 November 2015
Table 5 Lognormal distribution parameters for seismically and non-seismically designed horizontally curved steel I-girder bridges in comparison with HAZUS-MH (2011) (IM = Sa 1 ) Slight DS Moderate DS Extensive DS Collapse DS Damage state Median Disp Median Disp
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Lognormal distribution models of the correction factors related to (a) the maximum average drift ratio and (b) the residual average drift ratio simulated using the different modeling approaches.
Published: 01 November 2011
Figure 6. Lognormal distribution models of the correction factors related to (a) the maximum average drift ratio and (b) the residual average drift ratio simulated using the different modeling approaches.