Excel data analysis: modeling and simulation

Excel data analysis: modeling and simulation

This book offers a comprehensive and readable introduction to modern business and data analytics. It is based on the use of Excel, a tool that virtually all students and professionals have access to. The explanations are focused on understanding the techniques and their proper application, and are supplemented by a wealth of in-chapter and end-of-chapter exercises. In addition to the general statistical methods, the book also includes Monte Carlo simulation and optimization. The second edition has been thoroughly revised: new topics, exercises and examples have been added, and the readability has been further improved.

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Bibliographic Details
Main Authors: Guerrero, H. 1423211782766, Pebesma, E.J. 176432, Gomez-Rubio, V. 176433
Format: Texto biblioteca
Language:eng
Published: Cham (Switzerland) Springer Nature 2019
Subjects:data analysis, quantitative analysis, qualitative analysis, statistical methods, Monte Carlo method, optimization methods, modelling,
Online Access:https://link-springer-com.fao.idm.oclc.org/book/10.1007/978-3-030-01279-3#about
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spelling unfao:8552792021-06-02T13:33:29ZExcel data analysis: modeling and simulation Guerrero, H. 1423211782766 Pebesma, E.J. 176432 Gomez-Rubio, V. 176433 textCham (Switzerland) Springer Nature2019engThis book offers a comprehensive and readable introduction to modern business and data analytics. It is based on the use of Excel, a tool that virtually all students and professionals have access to. The explanations are focused on understanding the techniques and their proper application, and are supplemented by a wealth of in-chapter and end-of-chapter exercises. In addition to the general statistical methods, the book also includes Monte Carlo simulation and optimization. The second edition has been thoroughly revised: new topics, exercises and examples have been added, and the readability has been further improved. This book offers a comprehensive and readable introduction to modern business and data analytics. It is based on the use of Excel, a tool that virtually all students and professionals have access to. The explanations are focused on understanding the techniques and their proper application, and are supplemented by a wealth of in-chapter and end-of-chapter exercises. In addition to the general statistical methods, the book also includes Monte Carlo simulation and optimization. The second edition has been thoroughly revised: new topics, exercises and examples have been added, and the readability has been further improved. data analysisquantitative analysisqualitative analysisstatistical methodsMonte Carlo methodoptimization methodsmodellinghttps://link-springer-com.fao.idm.oclc.org/book/10.1007/978-3-030-01279-3#aboutURN:ISBN:978-3-030-01279-3
institution FAO IT
collection Koha
country Italia
countrycode IT
component Bibliográfico
access En linea
En linea
databasecode cat-fao-it
tag biblioteca
region Europa del Sur
libraryname David Lubin Memorial Library of FAO
language eng
topic data analysis
quantitative analysis
qualitative analysis
statistical methods
Monte Carlo method
optimization methods
modelling
data analysis
quantitative analysis
qualitative analysis
statistical methods
Monte Carlo method
optimization methods
modelling
spellingShingle data analysis
quantitative analysis
qualitative analysis
statistical methods
Monte Carlo method
optimization methods
modelling
data analysis
quantitative analysis
qualitative analysis
statistical methods
Monte Carlo method
optimization methods
modelling
Guerrero, H. 1423211782766
Pebesma, E.J. 176432
Gomez-Rubio, V. 176433
Excel data analysis: modeling and simulation
description This book offers a comprehensive and readable introduction to modern business and data analytics. It is based on the use of Excel, a tool that virtually all students and professionals have access to. The explanations are focused on understanding the techniques and their proper application, and are supplemented by a wealth of in-chapter and end-of-chapter exercises. In addition to the general statistical methods, the book also includes Monte Carlo simulation and optimization. The second edition has been thoroughly revised: new topics, exercises and examples have been added, and the readability has been further improved.
format Texto
topic_facet data analysis
quantitative analysis
qualitative analysis
statistical methods
Monte Carlo method
optimization methods
modelling
author Guerrero, H. 1423211782766
Pebesma, E.J. 176432
Gomez-Rubio, V. 176433
author_facet Guerrero, H. 1423211782766
Pebesma, E.J. 176432
Gomez-Rubio, V. 176433
author_sort Guerrero, H. 1423211782766
title Excel data analysis: modeling and simulation
title_short Excel data analysis: modeling and simulation
title_full Excel data analysis: modeling and simulation
title_fullStr Excel data analysis: modeling and simulation
title_full_unstemmed Excel data analysis: modeling and simulation
title_sort excel data analysis: modeling and simulation
publisher Cham (Switzerland) Springer Nature
publishDate 2019
url https://link-springer-com.fao.idm.oclc.org/book/10.1007/978-3-030-01279-3#about
work_keys_str_mv AT guerreroh1423211782766 exceldataanalysismodelingandsimulation
AT pebesmaej176432 exceldataanalysismodelingandsimulation
AT gomezrubiov176433 exceldataanalysismodelingandsimulation
_version_ 1768620292081451008

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