Nonlinear Statistical Models PDF Download
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Author | : A. Ronald Gallant |
Publisher | : John Wiley & Sons |
Total Pages | : 632 |
Release | : 1987-02-04 |
Genre | : Mathematics |
ISBN | : |
Download Nonlinear Statistical Models Book in PDF, ePub and Kindle
Univariate nonlinear regression; Univariate nonlinear regression: special situations; A unified asymptotic theory of nonlinear models with regression structure; Univariate nonlinear regression: asymptotic theory; Multivariate nonlinear regression; Nonlinear simultaneus equations models; A unified asymptotic theory for dynamic nonlinear models.
Author | : Sylvie Huet |
Publisher | : Springer Science & Business Media |
Total Pages | : 161 |
Release | : 2013-04-17 |
Genre | : Mathematics |
ISBN | : 147572523X |
Download Statistical Tools for Nonlinear Regression Book in PDF, ePub and Kindle
Statistical Tools for Nonlinear Regression presents methods for analyzing data. It has been expanded to include binomial, multinomial and Poisson non-linear models. 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. Several additional tools are included in the package for calculating confidence regions for functions of parameters or calibration intervals, using classical methodology or bootstrap.
Author | : George A. F. Seber |
Publisher | : John Wiley & Sons |
Total Pages | : 768 |
Release | : 2005-02-25 |
Genre | : Mathematics |
ISBN | : 0471725307 |
Download Nonlinear Regression Book in PDF, ePub and Kindle
WILEY-INTERSCIENCE PAPERBACK SERIES The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. From the Reviews of Nonlinear Regression "A very good book and an important one in that it is likely to become a standard reference for all interested in nonlinear regression; and I would imagine that any statistician concerned with nonlinear regression would want a copy on his shelves." –The Statistician "Nonlinear Regression also includes a reference list of over 700 entries. The compilation of this material and cross-referencing of it is one of the most valuable aspects of the book. Nonlinear Regression can provide the researcher unfamiliar with a particular specialty area of nonlinear regression an introduction to that area of nonlinear regression and access to the appropriate references . . . Nonlinear Regression provides by far the broadest discussion of nonlinear regression models currently available and will be a valuable addition to the library of anyone interested in understanding and using such models including the statistical researcher." –Mathematical Reviews
Author | : Douglas M. Bates |
Publisher | : Wiley-Interscience |
Total Pages | : 398 |
Release | : 2007-04-23 |
Genre | : Mathematics |
ISBN | : |
Download Nonlinear Regression Analysis and Its Applications Book in PDF, ePub and Kindle
Provides a presentation of the theoretical, practical, and computational aspects of nonlinear regression. There is background material on linear regression, including a geometrical development for linear and nonlinear least squares.
Author | : Harvey Motulsky |
Publisher | : Oxford University Press |
Total Pages | : 352 |
Release | : 2004-05-27 |
Genre | : Mathematics |
ISBN | : 9780198038344 |
Download Fitting Models to Biological Data Using Linear and Nonlinear Regression Book in PDF, ePub and Kindle
Most biologists use nonlinear regression more than any other statistical technique, but there are very few places to learn about curve-fitting. This book, by the author of the very successful Intuitive Biostatistics, addresses this relatively focused need of an extraordinarily broad range of scientists.
Author | : Barry Glaz |
Publisher | : John Wiley & Sons |
Total Pages | : 672 |
Release | : 2020-01-22 |
Genre | : Technology & Engineering |
ISBN | : 0891183590 |
Download Applied Statistics in Agricultural, Biological, and Environmental Sciences Book in PDF, ePub and Kindle
Better experimental design and statistical analysis make for more robust science. A thorough understanding of modern statistical methods can mean the difference between discovering and missing crucial results and conclusions in your research, and can shape the course of your entire research career. With Applied Statistics, Barry Glaz and Kathleen M. Yeater have worked with a team of expert authors to create a comprehensive text for graduate students and practicing scientists in the agricultural, biological, and environmental sciences. The contributors cover fundamental concepts and methodologies of experimental design and analysis, and also delve into advanced statistical topics, all explored by analyzing real agronomic data with practical and creative approaches using available software tools. IN PRESS! This book is being published according to the “Just Published” model, with more chapters to be published online as they are completed.
Author | : Christian Ritz |
Publisher | : Springer Science & Business Media |
Total Pages | : 151 |
Release | : 2008-12-11 |
Genre | : Mathematics |
ISBN | : 0387096167 |
Download Nonlinear Regression with R Book in PDF, ePub and Kindle
- Coherent and unified treatment of nonlinear regression with R. - Example-based approach. - Wide area of application.
Author | : David A. Ratkowsky |
Publisher | : |
Total Pages | : 272 |
Release | : 1990 |
Genre | : Mathematics |
ISBN | : |
Download Handbook of Nonlinear Regression Models Book in PDF, ePub and Kindle
The background; An introduction to regression modeling; Nonlinear regression modeling; An illustrative example of regression modeling; The models; Models with one X variable, convex/concave curves; Models with one X variable, sigmoidally shaped curves; Models with one X variable, curves with maxima and minima; Models with more than one explanatory viariable; Other models and excluded models; Obtaining good initial parameter estimates; Summary; References; Table of symbols; Appendix; Author index; Subject index.
Author | : James K. Lindsey |
Publisher | : |
Total Pages | : 298 |
Release | : 2001 |
Genre | : Mathematics |
ISBN | : 9780198508120 |
Download Nonlinear Models in Medical Statistics Book in PDF, ePub and Kindle
This text provides an introduction to the use of nonlinear models in medical statistics. It is a practical text rather than a theoretical one and assumes a basic knowledge of statistical modelling and of generalized linear models. It begins with a general introduction to nonlinear models, comparing them to generalized linear models, descriptions of data handling and formula definition and a summary of the principal types of nonlinear regression formulae. There is an emphasis on techniques for non-normal data. Following chapters provide detailed examples of applications in various areas of medicine, epidemiology, clinical trials, quality of life, pharmokinetics, pharmacodynamics, assays and formulations, and moleuclar genetics.
Author | : Andrej Pázman |
Publisher | : Springer Science & Business Media |
Total Pages | : 268 |
Release | : 2013-03-14 |
Genre | : Mathematics |
ISBN | : 9401724504 |
Download Nonlinear Statistical Models Book in PDF, ePub and Kindle
Nonlinear statistical modelling is an area of growing importance. This monograph presents mostly new results and methods concerning the nonlinear regression model. Among the aspects which are considered are linear properties of nonlinear models, multivariate nonlinear regression, intrinsic and parameter effect curvature, algorithms for calculating the L2-estimator and both local and global approximation. In addition to this a chapter has been added on the large topic of nonlinear exponential families. The volume will be of interest to both experts in the field of nonlinear statistical modelling and to those working in the identification of models and optimization, as well as to statisticians in general.