Model Discrimination for Nonlinear Regression Models

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A01=Dale S. Borowiak
advanced model selection techniques
Analisis de regresion
Asymptotic Confidence Region
Author_Dale S. Borowiak
bootstrap methods
Category=PBT
Conditional Selection Probabilities
Confidence Regions
Data Set
Discrimination Functions
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
experimental data analysis
Fitted Model Function
Generated Data Set
jackknife resampling
Langmuir Isotherm Mode
Location Vectors
LS Estimator
Model Function
Model Function Values
Negative Dependence Structure
nonlinear curve fitting
Nonlinear Model Functions
Observed Data Set
Observed Information Matrix
Pairwise Compare Models
Predictor Variable Values
Press Statistic
Question A1
regression diagnostics
RS Evaluation
RS Method
RS Statistic
Split Sample Designs
statistical hypothesis testing
True Model Conditions

Product details

  • ISBN 9780824780531
  • Weight: 540g
  • Dimensions: 152 x 229mm
  • Publication Date: 07 Feb 1989
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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Borowiak (math, U. of Akron) discusses model discrimination based upon incorrect selection probability, presents diagnostic statistics and formal hypothesis test procedures to assess a model's fit and stability, explains the use of computer computations such as the jackknife and bootstrap, and demon
Dale S. Borowiak is Associate Professor in the Department of Mathematical Sciences at the University of Akron, Ohio. He has published numerous articles and book reviews in leading statistics journals, and presented professional papers to conferences throughout the U.S. on model development and model discrimination procedures. Dr. Borowiak is a member of the American Statistical Association, Institute of Mathematical Statistics, and Pi Mu Epsilon. He received the B.S. degree (1974) in mathematics and M.S. degree (1976) in statistics from the University of Akron, and Ph.D. degree (1980) in statistics from Bowling Green State University, Bowling Green, Ohio.

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