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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. 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.
    2. J. R. Stokes, 2024. "A Markov chain model of crop conditions and intrayear crop yield forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(3), pages 583-592, April.
    3. 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.
    4. 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.
    5. 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.
    6. 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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