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Least squares estimation in finite Markov processes

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  • Albert Madansky

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Suggested Citation

  • Albert Madansky, 1959. "Least squares estimation in finite Markov processes," Psychometrika, Springer;The Psychometric Society, vol. 24(2), pages 137-144, June.
    • Handle: RePEc:spr:psycho:v:24:y:1959:i:2:p:137-144
    DOI: 10.1007/BF02289825
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    Cited by:

    1. Christina M. L. Kelton, 1984. "Nonstationary Markov Modeling: An Application to Wage-Influenced Industrial Relocation," International Regional Science Review, , vol. 9(1), pages 75-90, September.
    2. Miller, Douglas J., 1994. "Entropy Methods For Recovering Information From Economic Models," 1994 Quantifying Long Run Agricultural Risks and Evaluating Farmer Responses Risk, Technical Committee Meeting, March 24-26, 1994, Gulf Shores State Park, Alabama 271680, Regional Research Projects > S-232: Quantifying Long Run Agricultural Risks and Evaluating Farmer Responses to Risk.
    3. Florence Lindsay W & Fellingham Gilbert W & Vehrs Pat R. & Mortensen Nina P., 2008. "Skill Evaluation in Women's Volleyball," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 4(2), pages 1-16, April.
    4. Dent, Warren Thomas & Ballintine, Richard, 1971. "A Review Of The Estimation Of Transition Probabilities In Markov Chains," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 15(2), pages 1-13, August.
    5. Schaible, Glenn D. & Kim, C.S., 1989. "Forecasting Irrigation Technology with Transition Probabilities in the Pacific Northwest," WAEA/ WFEA Conference Archive (1929-1995) 244966, Western Agricultural Economics Association.

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