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Zusatztext "...a grand historical document for industrial statistics in its glory days! as its selection for the Classics Library implies." --Technometrics Vol. 42! No. 4 May 2001Anyone involved in the analysis of unbalanced multifactor data will find this book an extremely useful source of practical advice.--The Statistician 50 (1) 2001. Informationen zum Autor 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. Klappentext "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) Zusammenfassung This revised and updated volume describes methods fundamental to the theory and explanation of data analysis. This edition includes extensions and devices such as component and component-plus residual plots, cross-verification with a second sample and an index of required x-precision. 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....
