Conditional Probability Distribution: Random variable, Probability distribution, Discrete probability distribution, Conditional probability, Continuous probability distribution - Couverture souple

Couverture souple

ISBN 10 : 6132659854 ISBN 13 : 9786132659859

Editeur : Alphascript Publishing, 2010

Synopsis

Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Given two jointly distributed random variables X and Y, the conditional probability distribution of Y given X is the probability distribution of Y when X is known to be a particular value. The concept of the conditional distribution of a continuous random variable is not as intuitive as it might seem: Borel''s paradox shows that conditional probability density functions need not be invariant under coordinate transformations. If for discrete random variables P(Y = y | X = x) = P(Y = y) for all x and y, or for continuous random variables fY(y | X=x) = fY(y) for all x and y, then Y is said to be independent of X.

Détails de l'édition

• Éditeur: Alphascript Publishing
• Date d'édition: 2010
• Langue: anglais
• ISBN 10: 6132659854
• ISBN 13: 9786132659859
• Reliure: Broché
• Nombre de pages: 72
• Éditeur: Miller Frederic P., Vandome Agnes F., McBrewster John
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible