000 03396nam a22004815i 4500
001 978-3-642-10835-8
003 DE-He213
005 20140220084529.0
007 cr nn 008mamaa
008 100316s2010 gw | s |||| 0|eng d
020 _a9783642108358
_9978-3-642-10835-8
024 7 _a10.1007/978-3-642-10835-8
_2doi
050 4 _aHD30.23
072 7 _aKJT
_2bicssc
072 7 _aKJMD
_2bicssc
072 7 _aBUS049000
_2bisacsh
082 0 4 _a658.40301
_223
100 1 _aGuerrero, Hector.
_eauthor.
245 1 0 _aExcel Data Analysis
_h[electronic resource] :
_bModeling and Simulation /
_cby Hector Guerrero.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2010.
300 _aXVIII, 338 p. 199 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _ato Spreadsheet Modeling -- Presentation of Quantitative Data -- Analysis of Quantitative Data -- Presentation of Qualitative Data -- Analysis of Qualitative Data -- Inferential Statistical Analysis of Data -- Modeling and Simulation: Part 1 -- Modeling and Simulation: Part 2 -- Solver, Scenarios, and Goal Seek Tools.
520 _aThis book is written for the students and practitioners who are looking for a single introductory Excel-based resource that covers three essential business and analytical skills—Data Analysis, Business Modeling, and Simulation of Complex Problems. The focus of the book is clearly on analysis of problems for decision making, yet detailed explanations regarding how to use Excel tools are provided. After many years of teaching and consulting, it is abundantly clear to me that for most students, a good example is worth its weight in gold. This book contains many excellent examples in each chapter, some simple and others more complex, and there is an abundance of exhibits to guide the student through the maze of steps necessary for each analysis. The content is quite diverse: • data presentation — the Feng Shui of spreadsheets, effective communication and collaboration • data preparation — import, scrub, manipulate data • data analysis — statistical methods: descriptive, inferential, and predictive, Design of Experiments • modeling — deterministic, probabilistic, What-if, Scenarios • simulation — quantifying uncertainty, Monte Carlo Simulation • optimization — constrained, Linear Programming, non-linear models, Goal Seek • Couple these features with detailed discussions of how to realistically organize and extract insight from complex problems, and I believe you have a unique educational combination in one book.
650 0 _aEconomics.
650 0 _aEconomics
_xStatistics.
650 0 _aBusiness planning.
650 0 _aManagement information systems.
650 1 4 _aEconomics/Management Science.
650 2 4 _aOperations Research/Decision Theory.
650 2 4 _aOrganization/Planning.
650 2 4 _aBusiness Information Systems.
650 2 4 _aStatistics for Business/Economics/Mathematical Finance/Insurance.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642108341
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-10835-8
912 _aZDB-2-SBE
999 _c111792
_d111792