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Parametric and Nonparametric Inference from Record-Breaking Data

 Taschenbuch
Besorgungstitel | Lieferzeit:3-5 Tage I
ISBN-13:
9780387001388
Einband:
Taschenbuch
Seiten:
117
Autor:
Sneh Gulati
Gewicht:
208 g
Format:
232x158x mm
Serie:
Vol.172, Lecture Notes in Statistics
Sprache:
Englisch
Beschreibung:

1. Introduction.- 2. Preliminaries and Early Work.- 3. Parametric Inference.- 4. Nonparametric Inference-Genesis.- 5. Smooth Function Estimation.- 6. Bayesian Models.- 7. Record Models with Trend.- References.
By providing a comprehensive look at statistical inference from record-breaking data in both parametric and nonparametric settings, this book treats the area of nonparametric function estimation from such data in detail. Its main purpose is to fill this void on general inference from record values.
Statisticians, mathematicians, and engineers will find the book useful as a research reference. It can also serve as part of a graduate-level statistics or mathematics course.

1. Introduction.- 2. Preliminaries and Early Work.- 3. Parametric Inference.- 4. Nonparametric Inference-Genesis.- 5. Smooth Function Estimation.- 6. Bayesian Models.- 7. Record Models with Trend.- References.
By providing a comprehensive look at statistical inference from record-breaking data in both parametric and nonparametric settings, this book treats the area of nonparametric function estimation from such data in detail. Its main purpose is to fill this void on general inference from record values.
Statisticians, mathematicians, and engineers will find the book useful as a research reference. It can also serve as part of a graduate-level statistics or mathematics course.
Autor: Sneh Gulati
ISBN-13:: 9780387001388
ISBN: 0387001387
Verlag: Springer, Berlin
Gewicht: 208g
Seiten: 117
Sprache: Englisch
Sonstiges: Taschenbuch, 232x158x mm, 2 SW-Abb.