Applied Data Analysis and Modeling for Energy Engineers and Scientists (Record no. 106082)

000 -LEADER
fixed length control field 03193nam a22004575i 4500
001 - CONTROL NUMBER
control field 978-1-4419-9613-8
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140220083729.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 110729s2011 xxu| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781441996138
-- 978-1-4419-9613-8
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-1-4419-9613-8
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number T58.8
072 #7 - SUBJECT CATEGORY CODE
Subject category code TH
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code TEC031000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code TEC009020
Source bisacsh
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 658.26
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Reddy, T. Agami.
Relator term author.
245 10 - TITLE STATEMENT
Title Applied Data Analysis and Modeling for Energy Engineers and Scientists
Medium [electronic resource] /
Statement of responsibility, etc by T. Agami Reddy.
264 #1 -
-- Boston, MA :
-- Springer US,
-- 2011.
300 ## - PHYSICAL DESCRIPTION
Extent X, 660p. 313 illus.
Other physical details online resource.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Models, data analysis and decision making -- Probability concepts and probability distributions -- Data collection and preliminary data analysis -- Making statistical inferences from samples -- Estimation of linear model parameters using least squares -- Designed experiments and analysis of non-intrusive data -- Time series models -- Topics in optimization, parameter estimation and clustering methods -- Inverse problems and illustrative examples -- Decision analysis and risk modeling.
520 ## - SUMMARY, ETC.
Summary, etc Applied Data Analysis and Modeling for Energy Engineers and Scientists fills an identified gap in engineering and science education and practice for both students and practitioners. It demonstrates how to apply concepts and methods learned in disparate courses such as mathematical modeling, probability,statistics, experimental design, regression, model building, optimization, risk analysis and decision-making to actual engineering processes and systems. The text provides a formal structure that offers a basic, broad and unified perspective,while imparting the knowledge, skills and confidence to work in data analysis and modeling. This volume uses numerous solved examples, published case studies from the author’s own research, and well-conceived problems in order to enhance comprehension levels among readers and their understanding of the “processes”along with the tools. Applied Data Analysis and Modeling for Energy Engineers and Scientists is an ideal volume for researchers, practitioners, and senior level or graduate students working in energy engineering, mathematical modeling and other related areas.  
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Distribution (Probability theory).
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Engineering.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Energy.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Energy Efficiency (incl. Buildings).
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Engineering Thermodynamics, Heat and Mass Transfer.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Probability Theory and Stochastic Processes.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9781441996121
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-1-4419-9613-8
912 ## -
-- ZDB-2-ENG

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