Sum of Normally Distributed Random Variables | Probability Theory, Independence (probability theory), Random Variable, Normal Distribution, Law of Total Probability, Dirac Delta Function, Convolution

Lambert M. Surhone (u. a.)

ISBN 10: 6130356781 / ISBN 13: 9786130356781

Published by OmniScriptum, 2026

About this Item

Sum of Normally Distributed Random Variables | Probability Theory, Independence (probability theory), Random Variable, Normal Distribution, Law of Total Probability, Dirac Delta Function, Convolution | Lambert M. Surhone (u. a.) | Taschenbuch | Englisch | 2026 | OmniScriptum | EAN 9786130356781 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.

Seller Inventory # 101336713

Bibliographic Details

• Title: Sum of Normally Distributed Random Variables | Probability Theory, Independence (probability theory), Random Variable, Normal Distribution, Law of Total Probability, Dirac Delta Function, Convolution
• Publisher: OmniScriptum
• Publication Date: 2026
• Language: English
• ISBN 10: 6130356781
• ISBN 13: 9786130356781
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 9D millimeters 220 millimeters width by 150 millimeters height by 9 millimeters depth
• Weight: 221 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Calculation of the sum of normally distributed random variables is the simplest instance of random variable arithmetic, which can be quite complex based on the distributions of the random variables involved and their relationships. This means that the sum of two independent normally distributed random variables is normal, with mean the sum of the two means, and the variance the sum of the two variances (i.e., the square of the standard deviation is the sum of the squares of the standard deviations).