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  2. Gambler's ruin - Wikipedia

    en.wikipedia.org/wiki/Gambler's_ruin

    In statistics, gambler's ruin is the fact that a gambler playing a game with negative expected value will eventually go bankrupt, regardless of their betting system.. The concept was initially stated: A persistent gambler who raises his bet to a fixed fraction of the gambler's bankroll after a win, but does not reduce it after a loss, will eventually and inevitably go broke, even if each bet ...

  3. Optional stopping theorem - Wikipedia

    en.wikipedia.org/wiki/Optional_stopping_theorem

    Then the gambler's fortune over time is a martingale, and the time τ at which he decides to quit (or goes broke and is forced to quit) is a stopping time. So the theorem says that E[X τ] = E[X 0]. In other words, the gambler leaves with the same amount of money on average as when he started. (The same result holds if the gambler, instead of ...

  4. First-hitting-time model - Wikipedia

    en.wikipedia.org/wiki/First-hitting-time_model

    A common example of a first-hitting-time model is a ruin problem, such as Gambler's ruin. In this example, an entity (often described as a gambler or an insurance company) has an amount of money which varies randomly with time, possibly with some drift. The model considers the event that the amount of money reaches 0, representing bankruptcy.

  5. Martingale (probability theory) - Wikipedia

    en.wikipedia.org/wiki/Martingale_(probability...

    If p is less than 1/2, the gambler loses money on average, and the gambler's fortune over time is a supermartingale. If p is greater than 1/2, the gambler wins money on average, and the gambler's fortune over time is a submartingale. A convex function of a martingale is a submartingale, by Jensen's inequality.

  6. St. Petersburg paradox - Wikipedia

    en.wikipedia.org/wiki/St._Petersburg_paradox

    It is a function of the gambler's total wealth w, and the concept of diminishing marginal utility of money is built into it. The expected utility hypothesis posits that a utility function exists that provides a good criterion for real people's behavior; i.e. a function that returns a positive or negative value indicating if the wager is a good ...

  7. Risk of ruin - Wikipedia

    en.wikipedia.org/wiki/Risk_of_ruin

    This formula predicts a probability of failure using these parameters of about 0.1371, or a 13.71% risk of ruin. This approximation becomes more accurate when the number of steps typically expected for ruin to occur, if it occurs, becomes larger; it is not very accurate if the very first step could make or break it.

  8. Why 'Ruined Orgasms' Can Feel Surprisingly Good - AOL

    www.aol.com/why-ruined-orgasms-feel-surprisingly...

    If your partner is the one getting you off, they can ruin your orgasm by stopping stimulation, slowing down, or changing the type of stimulation they’re providing when you’re almost over the edge.

  9. Random walk - Wikipedia

    en.wikipedia.org/wiki/Random_walk

    This result has many names: the level-crossing phenomenon, recurrence or the gambler's ruin. The reason for the last name is as follows: a gambler with a finite amount of money will eventually lose when playing a fair game against a bank with an infinite amount of money. The gambler's money will perform a random walk, and it will reach zero at ...