Wir verwenden Cookies und Analyse-Tools, um die Nutzerfreundlichkeit der Internet-Seite zu verbessern und für Marketingzwecke. Wenn Sie fortfahren, diese Seite zu verwenden, nehmen wir an, dass Sie damit einverstanden sind. Zur Datenschutzerklärung.
Probit
CHF 49.40
Auf Lager
SKU
MIFGKC9U29R
1 Verfügbar 
Geliefert zwischen Di., 27.01.2026 und Mi., 28.01.2026
Details
High Quality Content by WIKIPEDIA articles! 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.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09786130343132
- Editor Lambert M. Surhone, Miriam T. Timpledon, Susan F. Marseken
- Sprache Englisch
- Größe H220mm x B150mm x T6mm
- Jahr 2010
- EAN 9786130343132
- Format Fachbuch
- ISBN 978-613-0-34313-2
- Titel Probit
- Untertitel Probit, Probability Space, Probability Density Function, Probability Theory, Random Variable, Function Mathematics, Integral, Probability Distribution, Cumulative Distribution
- Gewicht 179g
- Herausgeber VDM Verlag Dr. Müller e.K.
- Anzahl Seiten 108
- Genre Mathematik
Bewertungen
Schreiben Sie eine Bewertung
