Measurement Error in Nonlinear Models (PDF)
A Modern Perspective, Second Edition
(Sprache: Englisch)
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...
sofort als Download lieferbar
eBook (pdf)
Fr. 178.90
inkl. MwSt.
- Kreditkarte, Paypal, Rechnung
- Kostenloser tolino webreader
Produktdetails
Produktinformationen zu „Measurement Error in Nonlinear Models (PDF)“
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 extensively updated to offer the most comprehensive and up-to-date survey of measurement error models currently available. What's new in the Second Edition? * Greatly expanded discussion and applications of Bayesian computation via Markov Chain Monte Carlo techniques * A new chapter on longitudinal data and mixed models * A thoroughly revised chapter on nonparametric regression and density estimation * A totally new chapter on semiparametric regression * Survival analysis expanded into its own separate chapter * Completely rewritten chapter on score functions * Many more examples and illustrative graphs * Unique data sets compiled and made available online 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 Measurement Error in Nonlinear Models: A Modern Perspective, Second Edition is your ideal source.
Autoren-Porträt von Raymond J. Carroll, David Ruppert, Leonard A. Stefanski, Ciprian M. Crainiceanu
Carroll, Raymond J.; Ruppert, David; Stefanski, Leonard A.; Crainiceanu, Ciprian M.
Bibliographische Angaben
- Autoren: Raymond J. Carroll , David Ruppert , Leonard A. Stefanski , Ciprian M. Crainiceanu
- 2006, 2. Auflage, 488 Seiten, Englisch
- Verlag: Taylor & Francis
- ISBN-10: 1420010131
- ISBN-13: 9781420010138
- Erscheinungsdatum: 21.06.2006
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Grösse: 4.76 MB
- Mit Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
Kopierschutz
Dieses eBook können Sie uneingeschränkt auf allen Geräten der tolino Familie lesen. Zum Lesen auf sonstigen eReadern und am PC benötigen Sie eine Adobe ID.
Kommentar zu "Measurement Error in Nonlinear Models"
0 Gebrauchte Artikel zu „Measurement Error in Nonlinear Models“
Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
---|
Schreiben Sie einen Kommentar zu "Measurement Error in Nonlinear Models".
Kommentar verfassen