## Measurement Error in Nonlinear Models: A Modern Perspective, Second EditionIt’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 extensively updated to offer the most comprehensive and up-to-date survey of measurement error models currently available.
· · A · A · A · Survival analysis · · · In addition, the authors expanded the background material in Appendix A and integrated the technical material from chapter appendices into a new Appendix B for convenient navigation. Regardless of your field, if you’re looking for the most extensive discussion and review of measurement error models, then |

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### Contents

25 | |

LINEAR REGRESSION AND ATTENUATION | 41 |

REGRESSION CALIBRATION | 65 |

SIMULATION EXTRAPOLATION | 97 |

INSTRUMENTAL VARIABLES | 129 |

SCORE FUNCTION METHODS | 151 |

LIKELIHOOD AND QUASILIKELIHOOD | 181 |

BAYESIAN METHODS | 205 |

SEMIPARAMETRIC REGRESSION | 303 |

SURVIVAL DATA | 319 |

RESPONSE VARIABLE ERROR | 339 |

BACKGROUND MATERIAL | 359 |

TECHNICAL DETAILS | 385 |

413 | |

439 | |

Author Index | 441 |

HYPOTHESIS TESTING | 243 |

LONGITUDINAL DATA AND MIXED MODELS | 259 |

NONPARAMETRIC ESTIMATION | 279 |

### Other editions - View all

Measurement Error in Nonlinear Models: A Modern Perspective Raymond J. Carroll No preview available - 2006 |