000 04456nam a22005415i 4500
001 978-1-84628-043-6
003 DE-He213
005 20161121231113.0
007 cr nn 008mamaa
008 100301s2006 xxk| s |||| 0|eng d
020 _a9781846280436
_9978-1-84628-043-6
024 7 _a10.1007/b137411
_2doi
050 4 _aTA177.4-185
072 7 _aTBC
_2bicssc
072 7 _aKJMV
_2bicssc
072 7 _aTEC000000
_2bisacsh
082 0 4 _a658.5
_223
100 1 _aFoussier, Pierre.
_eauthor.
245 1 0 _aFrom Product Description to Cost: A Practical Approach
_h[electronic resource] :
_bVolume 2: Building a Specific Model /
_cby Pierre Foussier.
264 1 _aLondon :
_bSpringer London,
_c2006.
300 _aXXXVI, 362 p. 171 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aDecision Engineering,
_x1619-5736
505 0 _aPopulation and Sample -- From the Sample to the Population -- Describing the Population -- Typical Distributions -- Data Analysis Precedes the Search for a Specific Model -- Data Analysis on One Variable Only -- Data Analysis on Two Variables -- Simultaneous Data Analysis on J + 1 Quantitative Variables -- Working with Qualitative Variables -- Finding the Dynamic Center of a Multi-Variables Sample -- Finding the Center of the Cost Distribution for Choosing a Metric -- Looking for the Dynamic Center: The Bilinear Cases -- Using Several Quantitative Parameters: The Linear Cases -- Using Qualitative Variables -- Non-Linear Relationships -- Studying the Residuals Is as Important as Finding the Formula -- Studying the Additive Residuals -- The Other Residuals -- Building a Specific Model -- From Sample to Population -- Building the Model.
520 _aParametric cost estimating, when properly used, is a very powerful and cost effective technique. Unfortunately, this technique is often misunderstood and rejected by many potential users for whom it could be a beneficial tool. The development of an agreement on how to use it and how to recognise its limitations is a major benefit to the cost estimating community. From Product Description to Cost: A Practical Approach: • presents different ways of parametrically forecasting costs, and the advantages and disadvantages of these methods by using real examples from the mechanical, software and building industries; • discusses most of the mathematical procedures which are useful for parametrically forecasting costs; and, • introduces the judgement needed to audit the ways in which these forecasting techniques are used, firstly as a process, and secondly as a tool to generate estimates. Volume 2: Building a Specific Model is divided into nine parts and focuses on the building of ‘specific’ cost estimating models. These models explicitly refer to a ‘product family’, and, as opposed to ‘general’ models, any company (if properly organised) can build these models. Understanding the procedures is key in creating successful specific models; for this reason all these procedures are fully described in this volume. Classical methods and new ones (such as the "bootstrap") are described and illustrated. The Decision Engineering series focuses on the foundations and applications of tools and techniques related to decision engineering, and identifies their relevance in ‘engineering’ decisions. The series provides an aid to practising professionals and applied researchers in the development of tools for informed operational and business decision making, within industry, by utilising distributed organisational knowledge.
650 0 _aEngineering.
650 0 _aOperations research.
650 0 _aDecision making.
650 0 _aComplexity, Computational.
650 0 _aEngineering economics.
650 0 _aEngineering economy.
650 0 _aEconomics.
650 1 4 _aEngineering.
650 2 4 _aEngineering Economics, Organization, Logistics, Marketing.
650 2 4 _aOperation Research/Decision Theory.
650 2 4 _aEconomic Systems.
650 2 4 _aComplexity.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781846280429
830 0 _aDecision Engineering,
_x1619-5736
856 4 0 _uhttp://dx.doi.org/10.1007/b137411
912 _aZDB-2-ENG
950 _aEngineering (Springer-11647)
999 _c508626
_d508626