Buch, Englisch, 362 Seiten, Previously published in hardcover, Format (B × H): 156 mm x 234 mm, Gewicht: 558 g
Reihe: Decision Engineering
Volume 2: Building a Specific Model
Buch, Englisch, 362 Seiten, Previously published in hardcover, Format (B × H): 156 mm x 234 mm, Gewicht: 558 g
Reihe: Decision Engineering
ISBN: 978-1-84996-549-1
Verlag: Springer
Cost estimating is a powerful tool in industry and business. Anyone involved in cost estimating will find this book extremely useful because of the real life examples, which mean they can use the information in real situations immediately.
Zielgruppe
Professional/practitioner
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
- Wirtschaftswissenschaften Betriebswirtschaft Unternehmensforschung
- Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Entscheidungstheorie, Sozialwahltheorie
- Mathematik | Informatik Mathematik Operations Research
- Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Produktionsmanagement, Qualitätskontrolle
- Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Kostenmanagement, Budgetierung
Weitere Infos & Material
Population 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.




