Probability, Random Variables, and Data Analytics with Engineering Applications / by P. Mohana Shankar.
Shankar, P. Mohana., author
2021
TK1-9971
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Title Probability, Random Variables, and Data Analytics with Engineering Applications / by P. Mohana Shankar.
Author Shankar, P. Mohana., author
Edition 1st ed. 2021.
ISBN 9783030562595
303056259X
9783030562588
DOI https://doi.org/10.1007/978-3-030-56259-5
Published Cham : Springer International Publishing : Imprint : Springer, 2021.
Language English
Description 1 online resource (XII, 473 pages 206 illustrations, 202 illustrations in color)
Other Standard Identifiers 10.1007/978-3-030-56259-5 doi
Call Number TK1-9971
Dewey Decimal Classification 621.382
Summary This book bridges the gap between theory and applications that currently exist in undergraduate engineering probability textbooks. It offers examples and exercises using data (sets) in addition to traditional analytical and conceptual ones. Conceptual topics such as one and two random variables, transformations, etc. are presented with a focus on applications. Data analytics related portions of the book offer detailed coverage of receiver operating characteristics curves, parametric and nonparametric hypothesis testing, bootstrapping, performance analysis of machine vision and clinical diagnostic systems, and so on. With Excel spreadsheets of data provided, the book offers a balanced mix of traditional topics and data analytics expanding the scope, diversity, and applications of engineering probability. This makes the contents of the book relevant to current and future applications students are likely to encounter in their endeavors after completion of their studies. A full suite of classroom material is included. A solutions manual is available for instructors. Bridges the gap between conceptual topics and data analytics through appropriate examples and exercises; Features 100's of exercises comprising of traditional analytical ones and others based on data sets relevant to machine vision, machine learning and medical diagnostics; Intersperses analytical approaches with computational ones, providing two-level verifications of a majority of examples and exercises.
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users.
Digital File Characteristics text file
PDF
Available in Other Form Print version: 9783030562588
Print version: 9783030562601
Print version: 9783030562618
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Chapter 1. Introduction
Chapter 2. Sets, Venn diagrams, Probability and Bayes' Rule
Chapter 3. Concept of a random variable
Chapter 4. Multiple random variables and their Characteristics
Chapter 5. Applications to Data Analytics and Modeling.

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