Estimating transition probabilities from aggregate samples augmented by haphazard recaptures

Biometrics

Volumn 52, Issue 2, 1996, Pages 625-638

  Hawkins, D L ^a   Han, C P ^a   Eisenfeld, J ^a  

^a UNIVERSITY OF TEXAS AT ARLINGTON   (United States)

Author keywords

Central limit theorem; Finite population sampling; Generalized least squares

Indexed keywords

HAZARDS;

AGGREGATE DATUM; CENTRAL LIMIT THEOREM; ESTIMATION PRECISION; FINITE POPULATION; FINITE POPULATION SAMPLING; GENERALIZED LEAST SQUARE; GENERALIZED NONLINEAR LEAST SQUARES; PARAMETER SPACES; PROBABILITY ESTIMATE; TRANSITION PROBABILITIES;

AGGREGATES;

ACCURACY; ARTICLE; POPULATION; PROBABILITY; SAMPLING;

EID: 0029970136     PISSN: 0006341X     EISSN: None     Source Type: Journal    
DOI: 10.2307/2532901     Document Type: Article

References (6)

1. Cochran, W. G. (1977). Sampling Techniques. New York: Wiley.
2. Di Clemente, C. C., Prochaska, J. O., and Gibertini, M. (1985). Self-efficacy and the stages of self-change of smoking. Cognitive Therapy and Research 9, 181-200.
3. Hawkins, D. L., Han, C. P., and Eisenfeld, J. (1995). Estimating transition probabilities from aggregate samples augmented by haphazard matches. Technical Report 302, Department of Mathematics, University of Texas-Arlington, Arlington.
4. Kabfleish, J. D. and Lawless, J. F. (1984). Least squares estimation of transition probabilities from aggregate data. The Canadian Journal of Statistics 12, 169-182.
5. Lawless, J. F. and McLeish, D. L. (1984). The information in aggregate data from Markov chains. Biometrika 71, 419-430.
6. Lee, T. C., Judge, G. G., and Zellner, A. (1977). Estimating the Parameters of the Markov Probability Model from Aggregate Time Series Data. Amsterdam: North Holland.