Fitting Equations to Data

Computer Analysis of Multifactor Data
2. Auflage 1999
ISBN: 978-0-471-37684-2
Verlag: Wiley

Buch, Englisch, 458 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 773 g

"Fitting Equations to Data" - ein Klassiker der Datenverarbeitung und -analyse! Diese überarbeitete, aktualisierte und stark erweiterte 2. Auflage berücksichtigt auch modernste Ansätze (unter anderem Komponenten- und Komponenten/Residuen-Plots). Nebenbei erfährt man, wie der Computer schrittweise Einzug in die Datenverarbeitung gehalten hat. Abgerundet wird das praxiserprobte Werk durch ein ausführliches Glossar. (01/01)

Autoren/Hrsg.

Daniel, Cuthbert

Wood, Fred S

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Mathematik | Informatik Mathematik Stochastik Wahrscheinlichkeitsrechnung
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Computeranwendungen in der Mathematik
• Mathematik | Informatik Mathematik Mathematik Interdisziplinär Computeralgebra
• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
• Mathematik | Informatik Mathematik Mathematische Analysis Moderne Anwendungen der Analysis
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle

Inhaltsverzeichnis

Assumptions and Methods of Fitting Equations.

One Independent Variable.

Two or More Independent Variables.

Fitting an Equation in Three Independent Variables.

Selection of Independent Variables.

Some Consequences of the Disposition of the Data Points.

Selection of Variables in Nested Data.

Nonlinear Least Squares, a Complex Example.

Glossary.

User's Manual.

Bibliography.

Index.

Über Autor(innen)

Cuthbert Daniel, Consultant in Engineering Statistics, earned his B.S. and M.S. degrees in Chemical Engineering at the Massachusetts Institute of Technology, studying further at the University of Berlin in 1928 and at Harvard University, 1930-31. He has taught courses in design of experiments and industrial statistics at Columbia University and at the University of California, Berkeley. In the mid-40's he worked as a Statistician at the Gaseous Diffusion Plant, Manhattan Project, Oak Ridge, Tennessee. Mr. Daniel has served as a consultant in statistics to the Research and Development Departments of several large corporations, including Procter and Gamble, United States Steel, General Foods, Interchemical, Standard Oil, and Okonite. Mr. Daniel has been a consultant on design of experiments and analysis of engineering data to the Office of Air Polution, and to the Consumers Union. He was a member of Cancer Clinical Investigations Review Committee of NCI, and of NAS/NRC Committee on National Statistics. He is author of Fitting Equations to Data: Computer Analysis of Multifactor Data for Scientists And Engineers, published by Wiley-Interscience in 1971.