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Can I read Advanced Probability Theory for Biomedical Engineers (Synthesis Lectures on Biomedical Engineering) on EtoBox?

Advanced Probability Theory for Biomedical Engineers (Synthesis Lectures on Biomedical Engineering) by John Denis Enderle; David Charles Farden; Daniel J. Krause is a nonfiction available to read on EtoBox.

What is Advanced Probability Theory for Biomedical Engineers (Synthesis Lectures on Biomedical Engineering) about?

This is the third in a series of short books on probability theory and random processes for biomedical engineers. This book focuses on standard probability distributions commonly encountered in biomedical engineering. The exponential, Poisson and Gaussian distributions are introduced, as well as important approximations to the Bernoulli PMF and Gaussian CDF. Many important properties of jointly Gaussian random variables are presented. The primary subjects of the final chapter are methods for determining the probability distribution of a function of a random variable. We first evaluate the probability distribution of a function of one random variable using the CDF and then the PDF. Next, the probability distribution for a single random variable is determined from a function of two random variables using the CDF. Then, the joint probability distribution is found from a function of two random variables using the joint PDF and the CDF. The aim of all three books is as an introduction to probability theory. The audience includes students, engineers and researchers presenting applications of this theory to a wide variety of problems—as well as pursuing these topics at a more advance

Who reads Advanced Probability Theory for Biomedical Engineers (Synthesis Lectures on Biomedical Engineering)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
John Denis Enderle; David Charles Farden; Daniel J. Krause
Publisher
Springer Science and Business Media LLC
Published
2006
Language
EN
ISBN
9783031016158
Category
nonfiction
Subjects
Science, Technology, Engineering

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