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of like parity) is
and therefore the factor in favour of this value of δ rather than δ = θ is
= sechkδ' . cosh (θδ'), | |
where , |
where , |
Now E(s2) = N, E(s4) = 3kn, E(s6) = 15k2n, ... if δ = 0 and N = 1271k so, if δ2N < 200, a sufficiently good approximation is
Observe that we cannot neglect the term in δ4 since E(s2 - N) = Nkδ2, so the expected value of the second term is about half of that of the first term if δ is small. If we write s4 = 3kN there is still a small discrepancy between the natural banage obtained here and that obtained before. This discrepancy is due to the assumption (see R4 p 122) that σ is independent of δ. A more interesting remark is that the present method shows that the evidence of the value of s4 should be taken into account. The 'maximum likelihood' value of δ is
(e) Significance tests for rectangles which have been crudely converged.
Let the double bulge on /1+2 on a message of length N, against the correct wheels be x2. (We assume no slide - otherwise the phrase 'correct wheels' becomes ambiguous.) If a crude convergence is done, starting with one of the correct wheels (say ΔΧ1), then a result will be
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