What does logit stand for?

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In the year 1944, a significant development in statistical terminology occurred when Joseph Berkson introduced the concept of log of odds and coined the term "logit" as an abbreviation for "logistic unit." This move was inspired by the existing terminology for a similar concept in the realm of probability distributions.

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Prior to Berkson's contribution, Bliss had utilized a function that was linear on the normal curve and designated it as "probit," a portmanteau word combining "probability" and "unit." Berkson's choice of "logit" followed this precedent, establishing a parallel terminology for functions related to logistic distributions.

The logit function has since become an integral part of statistical analysis, particularly in the fields of logistic regression and other related statistical models. It serves as a transformation that maps the odds of an event occurring to a real number, facilitating the application of linear regression techniques to binary or categorical outcomes.