This is a front-end for the Online Encyclopedia of Integer Sequences, made by Christian Perfect. The idea is to provide OEIS entries in non-ancient HTML, and then to think about how they're presented visually. The source code is on GitHub.
%I A302923 #26 May 26 2018 22:32:04 %S A302923 3,29,411,7757,183003,5180909,171119931,6459325517,274300290843, %T A302923 12942639522989,671756887456251,38035572830424077,2333081451314129883, %U A302923 154118411443366428269,10907930704590567517371,823491157770358707135437,66054810199299268861908123 %N A302923 Raw half-moments of a Fibonacci-geometric probability distribution. %C A302923 If F(k) is the k-th Fibonacci number, where F(0)=0, F(1)=1, and F(n)=F(n-1)+F(n-2), then p(k)=F(k-1)/2^k is a normalized probability distribution on the positive integers. %C A302923 For example, it is the probability that k coin tosses are required to get two heads in a row, or the probability that a random series of k bits has its first two consecutive 1's at the end. %C A302923 The g.f. for this distribution is g(x) = x^2/(4-2x-x^2) = (1/4)x^2 + (1/8)x^3 + (1/8)x^4 + (3/32)x^5 + .... %C A302923 The n-th moments about zero of this distribution, known as raw moments, are defined by a(n) = Sum_{k>=1} (k^n)*p(k). They appear to be integers and form A302922. %C A302923 The e.g.f. for the raw moments is g(e^x) = 1 + 6x + 58x^2/2! + 822x^3/3! + .... %C A302923 For n >= 1, the raw moments appear to be even. Dividing them by 2 gives this sequence of raw half-moments. %C A302923 The central moments (i.e., the moments about the mean) also appear to be integers. They form sequence A302924. %C A302923 The central moments also appear to be even for n >= 1. Dividing them by 2 gives sequence A302925. %C A302923 The cumulants of this distribution, defined by the cumulant e.g.f. log(g(e^x)), also appear to be integers. They form sequence A302926. %C A302923 The cumulants also appear to be even for n >= 0. Dividing them by 2 gives sequence A302927. %C A302923 Note: Another probability distribution on the positive integers that has integral moments and cumulants is the geometric distribution p(k)=1/2^k. The sequences related to these moments are A000629, A000670, A052841, A091346. %H A302923 Albert Gordon Smith, <a href="/A302923/b302923.txt">Table of n, a(n) for n = 1..300</a> %H A302923 Christopher Genovese, <a href="http://www.stat.cmu.edu/~genovese/class/iprob-S06/notes/double-heads.pdf">Double Heads</a> %F A302923 In the following, %F A302923 F(k) is the k-th Fibonacci number, as defined in the Comments. %F A302923 phi=(1+sqrt(5))/2 is the golden ratio, and psi=(1-sqrt(5))/2. %F A302923 Li(s,z) is the polylogarithm of order s and argument z. %F A302923 When s is a negative integer as it is here, Li(s,z) is a rational function of z: Li(-n,z) = (z(d/dz))^n(z/(1-z)). %F A302923 For n>=1: %F A302923 a(n) = (1/2)A302922(n); %F A302923 a(n) = (1/2)Sum_{k>=1} ((k^n)(F(k-1)/2^k)); %F A302923 a(n) = (1/2)Sum_{k>=1} ((k^n)(((phi^(k-1)-psi^(k-1))/sqrt(5))/2^k)); %F A302923 a(n) = (1/2)(Li(-n,phi/2)/phi-Li(-n,psi/2)/psi)/sqrt(5). %F A302923 E.g.f.: (1/2)g(e^x) where g(x) = x^2/(4-2x-x^2) is the g.f. for the probability distribution. %e A302923 a(1)=3 is half the first raw moment of the distribution. It is half the arithmetic average of integers following the distribution. %e A302923 a(2)=29 is half the second raw moment. It is half the arithmetic average of the squares of integers following the distribution. %t A302923 Module[{max, r, g, rawMoments}, %t A302923 max = 17; %t A302923 r = Range[0, max]; %t A302923 g[x_] := x^2/(4 - 2 x - x^2); %t A302923 rawMoments = r! CoefficientList[Normal[Series[g[Exp[x]], {x, 0, max}]], x]; %t A302923 Rest[rawMoments]/2 %t A302923 ] %Y A302923 Raw moments: A302922. %Y A302923 Central moments: A302924. %Y A302923 Central half-moments: A302925. %Y A302923 Cumulants: A302926. %Y A302923 Half-cumulants: A302927. %Y A302923 Cf. A000629, A000670, A052841, A091346. %K A302923 nonn %O A302923 1,1 %A A302923 _Albert Gordon Smith_, Apr 15 2018