Generating and Testing DNA Sequences
Transforming Array to Matrix
Paralinear Distances
Generating and Testing DNA Sequences
Joint Distribution for Two Matched Sequences
Joint Distribution for K Matched Sequences
Joint Distribution for K Matched Sequences (2)
Generating Random DNA Samples Using the Rambaut and Grassly Method
Negative Log Likelihood Ratio
Generating Samples from a Multinomial Distribution
Transition Probability Function
Generating Random DNA Samples Using Approximation Method
Generating Random DNA Samples Using Embedded Markov Chain
Symmetric Matrix S
Test for Symmetry of Matched DNA Sequences
Overall Test for Marginal Symmetry
Generates DNA sequences based on Markov model techniques for matched sequences. This can be generalized to several sequences. The sequences (taxa) are then arranged in an evolutionary tree (phylogenetic tree) depicting how taxa diverge from their common ancestors. This gives the tests and estimation methods for the parameters of different models. Standard phylogenetic methods assume stationarity, homogeneity and reversibility for the Markov processes, and often impose further restrictions on the parameters.