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ON FLUCTUATIONS IN COIN-TOSSING

    This paper is connected with work under an ONR contract for research in probability theory at Cornell University.

    https://doi.org/10.1142/9789812567130_0008Cited by:0 (Source: Crossref)
    Abstract:

    In the classical coin-tossing game we have a sequence of independent random variables Xv, v = 1, 2,… each taking the values ± 1 with probability 1/2. We are interested in the signs of the partial sums . To eliminate the zeros of Sn we make the following convention: Sn is “positive” if Sn > 0 or if Sn = 0 but Sn−1 > 0; otherwise Sn is “negative.” The elegance of the results to be announced depends on this convention. Let Nn denote the number of “positive” terms among S1, …, Sn. We shall confine ourselves to an even n, noting only that 0 ≤ Nn+1 − Nn ≤ 1. In the following r and m are positive integers and P(B∣A) is the conditional probability of B under the hypothesis A…