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Titlebook: Mathematical Modelling and Computers in Endocrinology; James E. A. McIntosh,Rosalind P. McIntosh Book 1980 Springer-Verlag Berlin, Heidelb

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書目名稱Mathematical Modelling and Computers in Endocrinology
編輯James E. A. McIntosh,Rosalind P. McIntosh
視頻videohttp://file.papertrans.cn/627/626378/626378.mp4
叢書名稱Monographs on Endocrinology
圖書封面Titlebook: Mathematical Modelling and Computers in Endocrinology;  James E. A. McIntosh,Rosalind P. McIntosh Book 1980 Springer-Verlag Berlin, Heidelb
描述The building of conceptual models is an inherent part of our interaction with the world, and the foundation of scientific investigation. Scientists often perform the processes of modelling subconsciously, unaware of the scope and significance of this activity, and the techniques available to assist in the description and testing of their ideas. Mathematics has three important contributions to make in biological modelling: (1) it provides unambiguous languages for expressing relationships at both qualitative and quantitative levels of observation; (2) it allows effective analysis and prediction of model behaviour, and can thereby organize experimental effort productively; (3) it offers rigorous methods of testing hypotheses by comparing models with experimental data; by providing a means of objectively excluding unsuitable concepts, the development of ideas is given a sound experimental basis. Many modern mathematical techniques can be exploited only with the aid of computers. These machines not only provide increased speed and accuracy in determining the consequences of model assumptions, but also greatly extend the range of problems which can be explored. The impact of computers i
出版日期Book 1980
關(guān)鍵詞Mathematica; endocrinology; mathematics; modeling
版次1
doihttps://doi.org/10.1007/978-3-642-81401-3
isbn_softcover978-3-642-81403-7
isbn_ebook978-3-642-81401-3Series ISSN 0077-1015
issn_series 0077-1015
copyrightSpringer-Verlag Berlin, Heidelberg 1980
The information of publication is updating

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Stochastic Models,chastic, or random, processes (Sect. 1.2.6). A stochastic process is one in which the outcome is governed by chance; a probability is associated with the outcome of each event. This is in contrast to most of the models described elsewhere in this book which are deterministic—for any input, a particluar output is produced.
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978-3-642-81403-7Springer-Verlag Berlin, Heidelberg 1980
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Mathematical Modelling and Computers in Endocrinology978-3-642-81401-3Series ISSN 0077-1015
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Design of Analytical Experiments,The design of an experiment is vitally important to its success. An ill-conceived experiment is unlikely to yield any useful information no matter how ingeniously the data is analysed. Careful planning is therefore essential.
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Appendix A: A Summary of Relevant Statistics,Guidance is given here to statistical formulae and significance tests referred to in the text. A grasp of the basis of parametric statistics is essential both for understanding the method of least squares, and for applying many of the tests used in fitting models to data.
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Appendix B: Computer Programs,The programs and subprograms listed and described here are referred to extensively throughout the text. It is hoped that they will give inspiration, and also a nucleus of useful techniques for getting started on modelling the results of analytical experiments.
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