Probit

Bol

Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In probability theory and statistics, the probit function is the inverse cumulative distribution function, or quantile function associated with the standard normal distribution. It has applications in exploratory statistical graphics and specialized regression modeling of binary response variables. The idea of probit was published in 1934 by Chester Ittner Bliss in an article in Science on how to treat data such as the percentage of a pest killed by a pesticide. Bliss proposed transforming the percentage killed into a "probability unit" which was linearly related to the modern definition. He included a table to aid other researchers to convert their kill percentages to his probit, which they could then plot against the logarithm of the dose and thereby, it was hoped, obtain a more or less straight line. Such a so-called probit model is still important in toxicology, as well as other fields.

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Pagina's: 104, Paperback, Betascript Publishers