| 书目名称 | Statistical Tools for Nonlinear Regression | | 副标题 | A Practical Guide Wi | | 编辑 | S. Huet,A. Bouvier,E. Jolivet | | 视频video | | | 丛书名称 | Springer Series in Statistics | | 图书封面 |  | | 描述 | .Statistical Tools for Nonlinear Regression, Second Edition,. presents methods for analyzing data using parametric nonlinear regression models. The new edition has been expanded to include binomial, multinomial and Poisson non-linear models. Using examples from experiments in agronomy and biochemistry, it shows how to apply these methods. It concentrates on presenting the methods in an intuitive way rather than developing the theoretical backgrounds. The examples are analyzed with the free software nls2 updated to deal with the new models included in the second edition. The nls2 package is implemented in S-PLUS and R. Its main advantages are to make the model building, estimation and validation tasks, easy to do. More precisely, Complex models can be easily described using a symbolic syntax. The regression function as well as the variance function can be defined explicitly as functions of independent variables and of unknown parameters or they can be defined as the solution to a system of differential equations. Moreover, constraints on the parameters can easily be added to the model. It is thus possible to test nested hypotheses and to compare several data sets. Several additional | | 出版日期 | Textbook 2004Latest edition | | 关键词 | Biology; Estimator; STATISTICA; Statistics; diagnostics; linear regression | | 版次 | 2 | | doi | https://doi.org/10.1007/b97288 | | isbn_softcover | 978-1-4419-2301-1 | | isbn_ebook | 978-0-387-21574-7Series ISSN 0172-7397 Series E-ISSN 2197-568X | | issn_series | 0172-7397 | | copyright | Springer Science+Business Media New York 2004 |
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发表于 2025-3-21 16:26:24
