Essential Numerical Computer Methods

The various chapters within this volume include a wide variety of applications that extend far beyond this limited perception.

As part of the Reliable Lab Solutions series, Essential Numerical Computer Methods brings together chapters from volumes 210, 240, 321, 383, 384, 454, and 467 of Methods in Enzymology.
These chapters provide a general progression from basic numerical methods to more specific biochemical and biomedical applications.

Table of Contents

Chapter 1: Use of Least-Squares Techniques in Biochemistry
Chapter 2: Parameter Estimates from Nonlinear Models
Chapter 3: Analysis of Residuals: Criteria for Determining Goodness-of-Fit
Chapter 4: Monte Carlo Method for Determining Complete Confidence Probability Distributions of Estimated Model Parameters
Chapter 5: Effects of Heteroscedasticity and Skewnesson Prediction in Regression: ModelingGrowth of the Human Heart
Chapter 6: Singular Value Decomposition: Application to Analysis of Experimental Data
Chapter 7: Irregularity and Asynchrony in Biologic Network Signals
Chapter 8: Distinguishing Models of Growth with Approximate Entropy
Chapter 9: Application of the Kalman Filter to Computational Problems in Statistics
Chapter 10: Bayesian Hierarchical Models
Chapter 11: Mixed-Model Regression Analysis and Dealing with Interindividual Differences
Chapter 12: Distribution Functions from Moments and the Maximum-Entropy Method
Chapter 13: The Mathematics of Biological Oscillators
Chapter 14: Modeling of Oscillations in Endocrine Networks with Feedback
Chapter 15: Boundary Analysis in Sedimentation Velocity Experiments
Chapter 16: Statistical Error in Isothermal Titration Calorimetry
Chapter 17: Physiological Modeling with Virtual Cell Framework
Chapter 18: Fractal Applications in Biology: Scaling Time in Biochemical Networks
Chapter 19: Analytical Methods for the Retrieval and Interpretation of Continuous Glucose Monitoring Data in Diabetes
Chapter 20: Analyses for Physiological and Behavioral Rhythmicity
Chapter 21: Evaluation and Comparison of Computational Models
Chapter 22: Algebraic Models of Biochemical Networks
Chapter 23: Monte Carlo Simulation in Establishing Analytical Quality Requirements for Clinical Laboratory Tests: Meeting Clinical Needs
Chapter 24: Pancreatic Network Control of Glucagon Secretion and Counterregulation