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Titlebook: Kinetic Data Analysis; Design and Analysis Laszlo Endrenyi Book 1981 Plenum Press, New York 1981 biochemistry.chemistry.data analysis.desi

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书目名称Kinetic Data Analysis
副标题Design and Analysis
编辑Laszlo Endrenyi
视频videohttp://file.papertrans.cn/544/543047/543047.mp4
图书封面Titlebook: Kinetic Data Analysis; Design and Analysis  Laszlo Endrenyi Book 1981 Plenum Press, New York 1981 biochemistry.chemistry.data analysis.desi
描述Kinetic models have often served as useful examples in develop­ ing the methodology for the design and analysis of experiments in­ volving mechanistic models. Thus, it is not surprising that these approaches have been applied quite successfully to kinetic obser­ vations. Nevertheless, many ideas and methods were developed indepen­ dently in various fields of science. More often than not, investi­ gators working in one area have not been aware of relevant advances in others. In order to facilitate the desirable exchange of ideas, a one-day symposium was held in Toronto in conjunction with the XIth International Congress of Biochemistry. Biochemists, pharmacolo­ gists,> and statisticians came together and discussed many of the topics presented in this volume. Participants in the symposium believed that it would be use­ ful to publish a collection of the presentations together with some additional material. The present volume is the result. It is an attempt to convey some of the interdisciplinary concerns involv­ ing mechanistic, and especially kinetic, model building. The coverage is by no means exhaustive: many principles, methods, and problems are not included. Even the application
出版日期Book 1981
关键词biochemistry; chemistry; data analysis; design; identification; material; model; pharmacology; science
版次1
doihttps://doi.org/10.1007/978-1-4613-3255-8
isbn_softcover978-1-4613-3257-2
isbn_ebook978-1-4613-3255-8
copyrightPlenum Press, New York 1981
The information of publication is updating

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Tangential and Curvilinear Coordinates in Nonlinear RegressionThe discrepancy between tangential and curvilinear coordinates in nonlinear regression is illustrated by a calculation and plot for a specific example. The implications for computing and inference are discussed.
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On Parameter Redundancy in Curve Fitting of Kinetic Dataows that the defect may be studied before experiments are available. Numerical criteria are outlined which can be used to estimate redundancy and redundant parameter combinations, to predict standard deviations of estimated parameters, to optimize the experimental design for reducing redundancy.
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echanistic models. Thus, it is not surprising that these approaches have been applied quite successfully to kinetic obser­ vations. Nevertheless, many ideas and methods were developed indepen­ dently in various fields of science. More often than not, investi­ gators working in one area have not been
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