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Parameter Estimation by Least-Squares Methods. Global Analysis of Biochemical and Biophysical Data. Padaaeb1Laplace Algorithm for Sums of Exponentials: Selecting Appropriate Exponential Model and Initial Estimates for Exponential Fitting. Use of Weighting Functions in Data Fitting. Analysis of Residuals: Criteria for Determining Goodness-of-Fit. Analysis of Ligand-Binding Data with Experimental Uncertainties in Independent Variables. Monte Carlo Method for Determining Complete Confidence Probability Distributions of Estimated Model Parameters. Singular Value Decomposition: Application to Analysis of Experimental Data. Fourier Resolution Enhancement of Infrared Spectral Data. Maximum Likelihood Analysis of Fluorescence Data. Method of Moments and Treatment of Nonrandom Error. Laplace Deconvolution of Fluroescence Decay Surfaces. Interpolation Methods. Compartmental Analysis of Fluorescence Decay Surfaces of Excited-State Processes. Analysis of Discrete, Time-Sampled Data Using Fourier Series Method. Alternatives to Consider in Fluorescence Decay Analysis. Practical Aspects of Kinetic Analysis. Compartmental Analysis of Enzyme-Catalyzed Reactions. Analysis of Site-Specific Interaction Parameters in Proteinb1DNA Complexes. Analysis of Circular Dichroism Spectra. Fluorescence Quenching Studies: Analysis of Nonlinear Sternb1Volmer Data. Simultaneous Analysis for Testing of Models and Parameter Estimation. Numerical Analysis of Binding Data: Advantages, Practical Aspects, and Implications. Deconvolution Analysis for Pulsed-Laser Photoacoustics. Parameter Estimation in Binary Mixtures of Phospholipids. Deconvolution Analysis of Hormone Data. Dynamic Programming Algorithms for Biological Sequence Comparison. Programs for Symbolic Mathematics in Biochemistry. Artificial Neural Networks. Fractal Applications in Biology: Scaling Time in Biochemical Networks. Author Index. Subject Index.
The aim of this volume is to brief researchers of the importance of data analysis in enzymology, of the modern methods that have developed concomitantly with computer hardware, and of the need to validate their computer programs with real and synthetic data to ascertain that the results produced are what they expected.
Biochemists, biophysicists, physical chemists, and molecular and cell biologists.
- No. of pages:
- © Academic Press 1992
- 28th April 1992
- Academic Press
- Hardcover ISBN:
- eBook ISBN:
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California Institute of Technology, Division of Biology, Pasadena, U.S.A.
The Salk Institute, La Jolla, CA, USA
McCollum-Pratt Institute, Johns Hopkins University, Baltimore, MD, USA
University of Virginia Health Sciences Center, Charlottesville, USA
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