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.
- Limba : Engleza
- Cuprins : Parameter Estimation by Least-Squares Methods. Global Analysis of Biochemical and Biophysical Data. Pad*aae*b1Laplace 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. Alternat
- Data Publicarii : 03 Jun 1992
- Format : Hardback
- Numar pagini : 718
- ISBN : 9780121821111