Intended as a text for an introductory level statistics course. Integrates traditional statistical data analysis with new computational simulation and experimental techniques. Explores the concepts of scientific and engineering statistical analysis within the context of the ideas and the methods of chaotic behavior in nonlinear systems. Provides numerous exercises, examples, Mathematica experiments, and real-world data sets.
Why One Needs to Analyze Data | Data Representation and Compression | Analytic Representation of Random Experimental Data | Algorithmic Complexity and Random Strings | Statistical Independence and Kolmogorov's Probability Theory | Chaos in Dynamical Systems: How Uncertainty Arises in Scientific and Engineering Phenomena | General Principles of Statistical Analysis | Statistical Inference for Normal Populations | Analysis of Variance | Appendices
Probability and Statistics