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

Brossura

ISBN 10: 6132659854 ISBN 13: 9786132659859

Casa editrice: Alphascript Publishing, 2010

Riassunto

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.

Dettagli dell'edizione

• Editore: Alphascript Publishing
• Data di pubblicazione: 2010
• Lingua: Inglese
• ISBN 10: 6132659854
• ISBN 13: 9786132659859
• Rilegatura: Copertina flessibile
• Numero di pagine: 72
• Redattore: Miller Frederic P., Vandome Agnes F., McBrewster John
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile