Probability Density Function : Probability Density Function, Probability Theory, Random Variable, Function Mathematics, Integral, Probability Distribution, Cumulative Distribution Function

Lambert M. Surhone

ISBN 10: 6130342969 / ISBN 13: 9786130342968

Published by Omniscriptum, 2010

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - High Quality Content by WIKIPEDIA articles! In probability theory, a probability density function of a continuous random variable is a function that describes the relative likelihood for this random variable to occur at a given point in the observation space. The probability of a random variable falling within a given set is given by the integral of its density over the set. On rare occasions the term probability distribution function is used to denote the probability density function. However special care should be taken around this term, since in other sources the probability distribution function may refer to either the probability distribution function, or the cumulative distribution function, or may be a probability mass function rather than a density.

Seller Inventory # 9786130342968

Bibliographic Details

• Title: Probability Density Function : Probability Density Function, Probability Theory, Random Variable, Function Mathematics, Integral, Probability Distribution, Cumulative Distribution Function
• Publisher: Omniscriptum
• Publication Date: 2010
• Language: English
• ISBN 10: 6130342969
• ISBN 13: 9786130342968
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 6D millimeters 220 millimeters width by 150 millimeters height by 6 millimeters depth
• Weight: 161 grams

About this title

Synopsis

Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In probability theory, a probability density function of a continuous random variable is a function that describes the relative likelihood for this random variable to occur at a given point in the observation space. The probability of a random variable falling within a given set is given by the integral of its density over the set. On rare occasions the term “probability distribution function� is used to denote the probability density function. However special care should be taken around this term, since in other sources the “probability distribution function� may refer to either the probability distribution function, or the cumulative distribution function, or may be a probability mass function rather than a density.