Measurement Error in Nonlinear Models: A Modern Perspective, Second EditionCRC Press, 21 juin 2006 - 488 pages It's been over a decade since the first edition of Measurement Error in Nonlinear Models splashed onto the scene, and research in the field has certainly not cooled in the interim. In fact, quite the opposite has occurred. As a result, Measurement Error in Nonlinear Models: A Modern Perspective, Second Edition has been revamped and ex |
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Table des matières
INTRODUCTION | 1 |
IMPORTANT CONCEPTS | 25 |
LINEAR REGRESSION AND ATTENUATION | 41 |
REGRESSION CALIBRATION | 65 |
SIMULATION EXTRAPOLATION | 97 |
INSTRUMENTAL VARIABLES | 129 |
SCORE FUNCTION METHODS | 151 |
LIKELIHOOD AND QUASILIKELIHOOD | 181 |
NONPARAMETRIC ESTIMATION | 279 |
SEMIPARAMETRIC REGRESSION | 303 |
SURVIVAL DATA | 319 |
RESPONSE VARIABLE ERROR | 339 |
BACKGROUND MATERIAL | 359 |
TECHNICAL DETAILS | 385 |
| 413 | |
| 439 | |
BAYESIAN METHODS | 205 |
HYPOTHESIS TESTING | 243 |
LONGITUDINAL DATA AND MIXED MODELS | 259 |
Author Index | 441 |
| 447 | |
Expressions et termes fréquents
additive algorithm analysis applied approach approximation assumed assumptions asymptotic attenuation Bayesian bias biased bootstrap calculated called Carroll Chapter classical coefficient components compute conditional consider consistent corrected covariates data set deconvolution defined denote density depends described detail discussed effect equal equation estimator example extrapolant Figure follows function given illustrate independent indicating intake interest Journal known least squares likelihood linear model linear regression logistic regression matrix mean measurement error model methods mixed multiplicative naive nonlinear nonparametric normally distributed Note observed data obtained parameters plot posterior practice predictor prior probability problem random reasonable regression calibration regression model replicates requires response risk sample score Section SIMEX simple simulation slope specify standard Statistical Stefanski step structural Suppose tion true unbiased validation values variables variance vector zero
Informations bibliographiques
| Titre | Measurement Error in Nonlinear Models: A Modern Perspective, Second Edition Chapman & Hall/CRC Monographs on Statistics & Applied Probability |
| Auteurs | Raymond J. Carroll, David Ruppert, Leonard A. Stefanski, Ciprian M. Crainiceanu |
| Édition | 2, illustrée, révisée |
| Éditeur | CRC Press, 2006 |
| ISBN | 1420010131, 9781420010138 |
| Longueur | 488 pages |
| Exporter la citation | BiBTeX EndNote RefMan |