Documents / Report

Defense Intelligence Reference Document An Introduction To The Statistical Drake Equation

Defense Intelligence Agency · 55 pages · text from the file's own layer

This Defense Intelligence Agency reference document, dated 11 March 2010, is one of the advanced technology reports produced in FY 2009 under the Advanced Aerospace Weapon System Applications (AAWSA) program. It introduces the Statistical Drake Equation, which replaces each factor of Frank Drake's 1961 equation with a uniform random variable to estimate how far away the nearest extraterrestrial civilization is. In the worked example, there is a 75% probability that the nearest civilization lies between 1,361 and 3,979 light years from Earth.

  • p. 54 …Lnnikrishna Pillai, "Probability, Random Variables and Stochastic Processes'", Fourth Edition, Tata McGraw-Hill. New Delhi, 2002…
UNCLASSIFIED//F8"1 8ffll!lit.l! l!llili e,112~·
In the sequel of this paper we ~hall denote the
indcpcmknl iariabk uf lhc: lognormal distribution
(47) by a lower ca~e letter n to remind the reader that
corresponding random variable N 1s the po~itive
integer number of ExtraTerrestrial Civilization~ in
the Galaxy. In other words, 11 will be treated as a
positive real number in all calculations to follow
because it is a "large" number (i.e. a continuous
variable) compared to the only civilization that we
know of. i.e. our~elve~. In conclu~ion, from now on
the Iognormal probability density function of 2\' will
be written as
fv(n)= _! ·-c;---
1-,
n ,(2.Jra
(n ~ (]) (56)
Having so said. we now turn to the statistical
properties of the log:normal distribution (55). i.e. to
the statistical properties that describe the number N
of Extra Terrestrial Civilizations 111 the Galaxy.
Our first goal 1s to prove an equation yielding all
thc momenb of the l(]gnormal <li~trihution (56), that
i~. for every non-negative integer k - 0, l, 2,. (me
has
(57)
The relevant proof ~tart~ with the definition of the k-
th moment
(N')= rnk·I..v(n)dn
40
(1nr11]-p)'
=I:n" 11.&a·e J,,
One then transform~ the above integral by
virtue of the sub\titution
ln[n]=:. (58)
The new integral in z is then seen to
reduce to the Ciau\sian integral (53)
(WC skip all \lCP\ here) and (57)
follow\
Upon setting k = 0 into (56).
normalization condition for f,v(n) follows
f~l.v(n)d11 = 1.
J,,
the
(59)
Upon setting k = 1 into (56), the important
mean value of the randam variable N is found
(60)
Upon setting k = 2 into (56). the mean value
of the square of the random variable N is found
(61)
The variance af N now follows from the last two
fornmlae:
(62)
The square root of this is the important .~ta11dard
deviation formula for the N random variable
(63)
The third moment is obtained upon setting
k = 3 into (56)
(64)
Finally, upon setting k = 4, the fou1th moment
of N is found
(65)
Our next goal is to find the cumulants of N. In
principle. we could compute all the cumulants K,
from the generic i-th moment p; by virtue of the
recursion formula (see ref. [8])
(66)
UNCLASSIFIED/ ;'flHl 8ffl@IAI!: l!l!iili 8Hl!:l/

Not linked to a story yet.

About this file

Report, from the dia collection. The PDF is mirrored here; the original link is above. 55 pages are in the text index: search them above, or from the library's search.