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  2. Logistic regression - Wikipedia

    en.wikipedia.org/wiki/Logistic_regression

    An explanation of logistic regression can begin with an explanation of the standard logistic function. The logistic function is a sigmoid function, which takes any real input , and outputs a value between zero and one. [2] For the logit, this is interpreted as taking input log-odds and having output probability.

  3. Ordered logit - Wikipedia

    en.wikipedia.org/wiki/Ordered_logit

    v. t. e. In statistics, the ordered logit model (also ordered logistic regression or proportional odds model) is an ordinal regression model—that is, a regression model for ordinal dependent variables —first considered by Peter McCullagh. [1] For example, if one question on a survey is to be answered by a choice among "poor", "fair", "good ...

  4. Multinomial logistic regression - Wikipedia

    en.wikipedia.org/.../Multinomial_logistic_regression

    In statistics, multinomial logistic regression is a classification method that generalizes logistic regression to multiclass problems, i.e. with more than two possible discrete outcomes. [1] That is, it is a model that is used to predict the probabilities of the different possible outcomes of a categorically distributed dependent variable ...

  5. Conditional logistic regression - Wikipedia

    en.wikipedia.org/.../Conditional_logistic_regression

    Conditional logistic regression uses a conditional likelihood approach that deals with the above pathological behavior by conditioning on the number of cases in each stratum. This eliminates the need to estimate the strata parameters. When the strata are pairs, where the first observation is a case and the second is a control, this can be seen ...

  6. Odds ratio - Wikipedia

    en.wikipedia.org/wiki/Odds_ratio

    An odds ratio ( OR) is a statistic that quantifies the strength of the association between two events, A and B. The odds ratio is defined as the ratio of the odds of A in the presence of B and the odds of A in the absence of B, or equivalently (due to symmetry ), the ratio of the odds of B in the presence of A and the odds of B in the absence ...

  7. Chipotle’s 50-1 stock split: What investors need to know - AOL

    www.aol.com/finance/chipotle-50-1-stock-split...

    Chipotle’s 50-for-1 split is a bold move. While stock splits are relatively common, a 50-to-1 ratio is rare. In fact, it’s one of the biggest stock splits in New York Stock Exchange (NYSE ...

  8. Logistic function - Wikipedia

    en.wikipedia.org/wiki/Logistic_function

    Logistic function. A logistic function or logistic curve is a common S-shaped curve ( sigmoid curve) with the equation. where. is the carrying capacity, the supremum of the values of the function; is the logistic growth rate, the steepness of the curve; and. is the value of the function's midpoint.

  9. Chipotle's 50-for-1 stock split just went into effect ... - AOL

    www.aol.com/finance/chipotles-50-1-stock-split...

    June 26, 2024 at 12:14 PM. Chipotle's 50-for-1 stock split takes effect: Key takeaways. /. Loaded 0%. Chipotle ( CMG) investors will notice a difference in their portfolios today. The burrito ...