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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Intermediate Probability Theory for Biomedical Engineers

Intermediate Probability Theory for Biomedical Engineers

Enderle, John D.
Farden, David C.
Krause, Daniel J.

Paperback

Series: Synthesis Lectures on Biomedical Engineering

Technology & EngineeringGeneral MathematicsProbability & Statistics

ISBN10: 3031004868
ISBN13: 9783031004865
Publisher: Springer Nature
Published: Dec 31 2007
Pages: 106
Weight: 0.47
Height: 0.24 Width: 7.50 Depth: 9.25
Language: English
This is the second in a series of three short books on probability theory and random processes for biomedical engineers. This volume focuses on expectation, standard deviation, moments, and the characteristic function. In addition, conditional expectation, conditional moments and the conditional characteristic function are also discussed. Jointly distributed random variables are described, along with joint expectation, joint moments, and the joint characteristic function. Convolution is also developed. A considerable effort has been made to develop the theory in a logical manner--developing special mathematical skills as needed. The mathematical background required of the reader is basic knowledge of differential calculus. Every effort has been made to be consistent with commonly used notation and terminology--both within the engineering community as well as the probability and statistics literature. The aim is to prepare students for the application of this theory to a wide variety of problems, as well give practicing engineers and researchers a tool to pursue these topics at a more advanced level. Pertinent biomedical engineering examples are used throughout the text.

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