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Measurement Error in Nonlinear Models
Raymond J. CarrollDavid RuppertLeonard A. Stefanski
出版CRC Press, 1995-07-06
主題Mathematics / Probability & Statistics / GeneralScience / Life Sciences / Biology
ISBN04120472179780412047213
URLhttp://books.google.com.hk/books?id=FS-x3tPdXeMC&hl=&source=gbs_api
EBookSAMPLE
註釋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 occurs in many fields, such as biometry, epidemiology and economics. In particular, the book contains a large number of epidemiological examples. An outline of strategies for handling progressively more difficult problems is also provided.