| 书目名称 | Design of Experiments in Nonlinear Models |
| 副标题 | Asymptotic Normality |
| 编辑 | Luc Pronzato,Andrej Pázman |
| 视频video | |
| 概述 | Covers many important aspects of experimental design, especially as it relates to unpredictable models and data sets.Special section on small samples sizes and missing/truncated and imputed data.Provi |
| 丛书名称 | Lecture Notes in Statistics |
| 图书封面 |  |
| 描述 | .Design of Experiments in Nonlinear Models: Asymptotic Normality, Optimality Criteria and Small-Sample Properties. provides a comprehensive coverage of the various aspects of experimental design for nonlinear models. The book contains original contributions to the theory of optimal experiments that will interest students and researchers in the field. Practitionners motivated by applications will find valuable tools to help them designing their experiments. .The first three chapters expose the connections between the asymptotic properties of estimators in parametric models and experimental design, with more emphasis than usual on some particular aspects like the estimation of a nonlinear function of the model parameters, models with heteroscedastic errors, etc. Classical optimality criteria based on those asymptotic properties are then presented thoroughly in a special chapter. .Three chapters are dedicated to specific issues raised by nonlinear models. The construction of design criteria derived from non-asymptotic considerations (small-sample situation) is detailed. The connection between design and identifiability/estimability issues is investigated. Several approaches are presen |
| 出版日期 | Book 2013 |
| 关键词 | Asymptotic Normality; Experimental Design; LS Estimator; Non-Linear Regression; Regression Model; Small S |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4614-6363-4 |
| isbn_softcover | 978-1-4614-6362-7 |
| isbn_ebook | 978-1-4614-6363-4Series ISSN 0930-0325 Series E-ISSN 2197-7186 |
| issn_series | 0930-0325 |
| copyright | Springer Science+Business Media New York 2013 |
发表于 2025-3-21 16:29:51
