This judicious selection of articles combines mathematical and numerical methods to apply parameter estimation and optimum experimental design in a range of contexts. These include fields as diverse as biology, medicine, chemistry, environmental physics, image processing and computer vision. The m
Measurement Data Modeling and Parameter Estimation
β Scribed by Defeng Gu
- Publisher
- CRC Press
- Tongue
- English
- Leaves
- 545
- Category
- Library
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<p>Experimentalists tend to revel in the complexity and multidimensionality of biological processes. Modelers, on the other hand, generally look towards parsimony as a guiding prinΒ ciple in their approach to understanding physiological systems. It is therefore not surprising that a substantial degr
<p><p>This judicious selection of articles combines mathematical and numerical methods to apply parameter estimation and optimum experimental design in a range of contexts. These include fields as diverse as biology, medicine, chemistry, environmental physics, image processing and computer vision. T
Modern scientific computational methods are undergoing a transformative change; big data and statistical learning methods now have the potential to outperform the classical first-principles modeling paradigm. This book bridges this transition, connecting the theory of probability, stochastic process
<p>The necessity to publish the second edition of this book arose when its third German edition had just been published. This second English edition is thereΒ fore a translation of the third German edition of Parameter Estimation and Hypothesis Testing in Linear Models, published in 1997. It differs