Probability, Random Variables, and Data Analytics with Engineering Applications (Record no. 78327)

000 -LEADER
fixed length control field 03817nam a22005535i 4500
001 - CONTROL NUMBER
control field 978-3-030-56259-5
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220801220220.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 210208s2021 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783030562595
-- 978-3-030-56259-5
082 04 - CLASSIFICATION NUMBER
Call Number 621.382
100 1# - AUTHOR NAME
Author Shankar, P. Mohana.
245 10 - TITLE STATEMENT
Title Probability, Random Variables, and Data Analytics with Engineering Applications
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2021.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XII, 473 p. 206 illus., 202 illus. in color.
505 0# - FORMATTED CONTENTS NOTE
Remark 2 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.
520 ## - SUMMARY, ETC.
Summary, etc 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.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-030-56259-5
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2021.
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-- txt
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-- computer
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-- rdamedia
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-- online resource
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347 ## -
-- text file
-- PDF
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Telecommunication.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering mathematics.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering—Data processing.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Probabilities.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Statistics .
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Communications Engineering, Networks.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Mathematical and Computational Engineering Applications.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Probability Theory.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
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-- ZDB-2-ENG
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-- ZDB-2-SXE

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