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Measurement Error in Nonlinear Models (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)

Raymond J. Carroll, David Ruppert, Leonard A. Stefanski




[PDF.za67] Measurement Error in Nonlinear Models (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)

Measurement Error in Nonlinear  Raymond J. Carroll, David Ruppert, Leonard A. Stefanski epub
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 | #4762070 in Books |  1995-07-06 |  1995-01-01 | Original language:English | PDF # 1 |  8.50 x.75 x5.51l,1.26 | File type: PDF | 336 pages

||33 of 33 people found the following review helpful.| another difficult topic in regression analysis tackled by Ray Carroll|By Michael R. Chernick|Ray Carroll and David Ruppert are well known research statisticians who have published many joint articles on regression, weighted regression and transformation and they have also written an excellent book together on this research topic. Stefanski has recently published several paper

This monograph provides an up-to-date discussion of analysis strategies for regression problems in which predictor variables are measured with errors. The analysis of nonlinear regression models includes generalized linear models, transform-both-sides models and quasilikelihood and variance function problems. The text concentrates on the general ideas and strategies of estimation and inference rather than being concerned with a specific problem. Measurement error occu...

You can specify the type of files you want, for your gadget.Measurement Error in Nonlinear Models (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)   |  Raymond J. Carroll, David Ruppert, Leonard A. Stefanski. Just read it with an open mind because none of us really know.

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