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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.
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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/
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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.