Chapter 10 Notes > Section 9

	Notes for Chapter 10: Processes of Perception and Analysis Section 9: Statistical Analysis History [of statistics] Practical statistics Time series Origin of probabilities Probabilistic models Binomial distribution Estimation of parameters [in probabilistic models] Complexity of models Markov processes [Models involving] non-local processes Block frequencies [in sequences] LFSR sequences Entropy estimates [for sequences] Tests of randomness Difference tables Randomized algorithms PAGE IMAGES RELATED LINKS Main text from section Downloadable programs for this section Downloadable images Search Forum for this section Post a comment NKS | Online FAQs

From Stephen Wolfram: A New Kind of Science [citation]