An Introduction to Markov Chain Analysis |
Contents
Front Cover | |
CONCEPTS AND TECHNIQUES IN MODERN GEOGRAPHY No | 3 |
iii The limiting matrix | 9 |
Copyright | |
1 other sections not shown
Common terms and phrases
absorbing Markov assumed bability Central Limit theorem component computed concept conditional homogeneity cubic matrix degrees of freedom dependent derived diagonal diagonal matrix distribution Drewett and Ferguson elements entries equilibrium estimated transition probabilities first-order Markov chain first-order property fkij fundamental matrix identity matrix individual movements interval Kemeny and Snell Krenz large number Lever likelihood ratio criterion limiting matrix loge London manufacturing establishments Markov chain models Markov models Markov process Markov property mathematical proof Maximum likelihood ratio mean first passage migrant distance migration null hypothesis number of ships observations Pacific PCUM percent period plants population population pyramids predictive Principal Components Analysis probability of moving probability vector regular Markov chain relocate specific-order Statistical estimation statistical tests stochastic matrix stochastic process suburbs system of spatial Table tally matrix three oceans total number trends typify a first-order underlying fixed probabilities uniform probabilities values variables Zone 1 Zone Σ Σ