Statistical Methods for the Mover-Stayer Model

作者: Leo A. Goodman

DOI: 10.1080/01621459.1961.10482130

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摘要: Abstract The mover-stayer model, a generalization of the Markov chain assumes that there are two types individuals in population under consideration: (a) “stayer,” who with probability one remains same category during entire period study; (b) “mover,” whose changes over time can be described by constant transition matrix. matrix for movers, and proportion stayers among each at, say, initial point time, unknown parameters. Various estimators these parameters presented herein, accuracy is compared. We show, example, used Blumen, Kogan, McCarthy [3] not consistent estimators, while recommended herein are. In addition, tests several hypotheses concerning model herein. methods developed this paper applied to t...

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