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Fitting Equations to Data

Cuthbert Daniel | Fred S. Wood
€171.06
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A01=Cuthbert Daniel
A01=Fred S. Wood
analyst
appropriate
assumptions
Author_Cuthbert Daniel
Author_Fred S. Wood
Category=PBKS
Category=PBT
Category=PBW
Category=UNC
combinations
computer
conditions
data
devices
eq_bestseller
eq_computing
eq_isMigrated=1
eq_nobargain
eq_non-fiction
extensions
fitted equations
forms
implicit
influential
least squares
limitations
methods
new
select
serious
strengths
variables
verification

Product details

  • ISBN 9780471376842
  • Weight: 631g
  • Dimensions: 161 x 236mm
  • Publication Date: 30 Nov 1999
  • Publisher: John Wiley & Sons Inc
  • Publication City/Country: US
  • Product Form: Paperback
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Description
Helps any serious data analyst with a computer to recognize the strengths and limitations of data, to test the assumptions implicit in the least squares methods used to fit the data, to select appropriate forms of the variables, to judge which combinations of variables are most influential, and to state the conditions under which the fitted equations are applicable. This edition includes numerous extensions and new devices such as component and component-plus-residual plots, cross verification with a second sample, and an index of required x-precision; also, the search for better subset equations is enlarged to cover 262,144 alternatives. The methods described have been applied in agricultural, environmental, management, marketing, medical, physical, and social sciences. Mathematics is kept to the level of college algebra.
About Cuthbert Daniel | Fred S. Wood

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.

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