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* Fitting Models to Biological Data Using Linear and Nonlinear Regression: A Practical Guide to Curve Fitting; изд.2 -- Motulsky H., Christopoulos A. --
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Piter-
moderator

24.08.2005 14:00

URL #1

Fitting Models to Biological Data Using Linear and Nonlinear Regression: A Practical Guide to Curve Fitting; изд.2
Motulsky H., Christopoulos A.
Oxford University Press; 2004; 352стр.; ISBN: 0195171802

Book Description
Nonlinear regression is an essential tool for analyzing biological data, and is the most frequently used tool for data analysis in many labs. This book is written for biologists, not mathematical statisticians, and presents a practical approach to fitting curves with nonlinear regression. It explains how to choose a model, how to make sensible choices when using a nonlinear regression program, and how to interpret the results. It also helps you troubleshoot "bad" fits and explains how to compare models and data sets. In addition to general information about curve fitting, it also contains specific details about fitting radioligand binding, dose-response, and enzyme kinetic data, emphasizing the use of global regression. The last portion of the book explains how to fit curves with the program GraphPad Prism, but the book will be useful no matter what program you use.

From the Inside Flap
"This well-written book fills a major need for biomedical researchers -- an explanation of nonlinear regression that is simple, deep, insightful and practical." Lee E. Limbird, Ph.D. Dept. Pharmacology Vanderbilt University "Because the data from many of the experiments in my laboratory are analyzed by curve fitting, it is important that my postdoctoral fellows, students and senior technicians understand the basic principles of nonlinear regression. But it has been hard for them to do so. Basic statistics books don't discuss curve fitting, advanced books on nonlinear regression tend to be too mathematical, and the manuals that come with computer programs tend to be too narrow. Motulsky and Christopolous do a excellent job of explaining the principles of curve fitting (with enough but not too much math) along with practical discussions of how to pick a model, how to make sense of results, what to do when the results appear to be nonsense and how to compare curves. I enthusiastically recommend this book to anyone doing research in pharmacology, biophysics or biochemistry -- especially for those generating dose-response, ligand binding or enzyme kinetic data (as these are discussed in detail). " David B. Bylund, Ph.D. Professor of Pharmacology University of Nebraska Medical Center

See all Editorial Reviews

Here can be downloaded

/ Литература, #32491 /

Область: Математика и Статистика

Язык и уровень: Высшая школа (анг), Специальный (анг)

Где взять: Эл. версия на сайте издательства, Было в сети

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Сообщение в колонке новостей, раздел "Книги, журналы, анонсы новых изданий, ссылки на литературу в электронном виде"
24.08.2005 14:02

Приведённые здесь книги бродит по рукам в электронном виде. На тему о том, "где их взять":
1) прямые ссылки могут быть в комментариях к описанию книги;
2) можно поискать в известных онлайн библиотеках;
3) если первые два способа не помогают, можно 'попросить у коллег' (требуется регистрация!)

NB! запросы на книги, которых в каталоге нет, можно делать только в теме "Книги которых нет, но хочется"; из всех других мест запросы удаляются без предупреждений!

Piter-
moderator

24.08.2005 14:03

URL #2

http://www.curvefit.com/analyzing_data_book.htm

Поблагодарили (1): javad_amini

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