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The Weibull Distribution: A Handbook - Index of

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1.1 Genesis <strong>of</strong> the WEIBULL distribution 11<br />

Original German text English translation<br />

Für xmax = s wird D = 100, woraus man<br />

weiter erhält<br />

a = 100nb<br />

1 − e −b sn . (8)<br />

Hierin kann e−b sn<br />

Dann ergibt sich<br />

© 2009 by Taylor & Francis Group, LLC<br />

≈ 0 gesetzt werden.<br />

D = F(x) = 100 � 1 − e −b xn� , (9)<br />

xmax = s leads to D = 100 and further to<br />

a = 100nb<br />

1 − e −b sn . (8)<br />

In (8) one can set e−b sn ≈ 0. So the result<br />

is<br />

D = F(x) = 100 � 1 − e −b xn� , (9)<br />

R = 100 − F(x) = 100e−b xn,<br />

(10) R = 100 − F(x) = 100e−b xn,<br />

(10)<br />

f(x) = 100nbx n−1 e−b xn.<br />

(11) f(x) = 100nbx n−1 e−b xn.<br />

(11)<br />

Die Ableitung ist also spekulativer Natur,<br />

indem von einer der Hauptformen der<br />

Kornverteilungskurve erfahrungsgemäß<br />

angepaßten Gleichung ausgegangen wird<br />

. . .<br />

<strong>The</strong> derivation is speculative in essence<br />

because it starts from an equation which is<br />

fitted to the main form <strong>of</strong> the distribution<br />

curve by experience . . .<br />

RAMMLER continues to describe the approach made by him and ROSIN giving the same<br />

result. <strong>The</strong>ir heuristic and graphic–oriented approach is based on grinding experiments and<br />

their observation that the passage through the mesh — expressed as a function <strong>of</strong> the finesse<br />

<strong>of</strong> the sieve — behaved like a general parabola. After several algebraic manipulations<br />

the equation for R is the same as (10). Further, RAMMLER (1937) reports on a paper<br />

by J.G. BENNETT (1936) based on their paper <strong>of</strong> 1933. <strong>The</strong> decisive part that slightly<br />

connects the WEIBULL distribution, heuristically discovered as the law governing the size<br />

distribution <strong>of</strong> ground material, and the WEIBULL distribution, theoretically derived as the<br />

limit distribution <strong>of</strong> the smallest sample value by FISHER and TIPPETT, reads as follows<br />

(RAMMLER, 1937, p. 164):<br />

14 <strong>The</strong> paper does not contain any details about this kind <strong>of</strong> reasoning. (Remark <strong>of</strong> the author)<br />

15 D is the passage through the mesh and is thus the complement to R. (Remark <strong>of</strong> the author)<br />

16 At this point RAMMLER cites the paper from 1933 <strong>of</strong> ROSIN, RAMMLER and SPERLING. (Remark <strong>of</strong><br />

the author)<br />

17 This is a density which is skewed to the right and has a mode not on the border <strong>of</strong> the domain. (Remark<br />

<strong>of</strong> the author)

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