Parametric and nonparametric inference from record-breaking data
著者
書誌事項
Parametric and nonparametric inference from record-breaking data
（Lecture notes in statistics, 172）
Springer, c2003
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注記
Bibliography: p. [105]-109
Includes index
内容説明・目次
内容説明
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.
目次
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.
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