Esta web utiliza cookies propias y de terceros que nos permiten optimizar tu experiencia en el sitio web, evaluar su rendimiento, generar estadísticas de uso y mejorar y añadir nuevas funcionalidades. Mediante el análisis de tus hábitos de navegación podemos mostrar contenidos más relevantes y medir las interacciones con la web.
Puede obtener más información aquí.

Avanzado
Artículos
Portada

FIELD GUIDE TO CONTINUOUS PROBABILITY DISTRIBUTIONS IBD

GAVIN E CROOKS
BERKELEY INSTITUTE FOR THEORET
04 / 2019
9781733938105
Inglés

Sinopsis

A common problem is that of describing the probability distribution of a single, continuous variable. A few distributions, such as the normal and exponential, were discovered in the 1800',s or earlier. But about a century ago the great statistician, Karl Pearson, realized that the known probability distributions were not sufficient to handle all of the phenomena then under investigation, and set out to create new distributions with useful properties.áDuring the 20th century this process continued with abandon and a vast menagerie of distinct mathematical forms were discovered and invented, investigated, analyzed, rediscovered and renamed, all for the purpose of describing the probability of some interesting variable. There are áhundreds of named distributions and synonyms in current usage. The apparent diversity is unending and disorienting.Fortunately, the situation is less confused than it might at first appear. Most common, continuous, univariate, unimodal distributions ácan be organized into a small number of distinct families, which are all special cases of a single Grand Unified Distribution. This compendium details these hundred or so simple distributions, their properties and their interrelations.á