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Volumn 72, Issue 2, 2010, Pages 376-406

Minimum disparity inference and the empty cell penalty: Asymptotic results

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EID: 85034591429     PISSN: 0976836X     EISSN: 09768378     Source Type: Journal    
DOI: 10.1007/s13171-010-0022-5     Document Type: Article
Times cited : (6)

References (16)
  • 1
    • 0032388536 scopus 로고    scopus 로고
    • Penalized minimum disparity methods for multinomial models
    • Basu, A. and Basu, S. (1998). Penalized minimum disparity methods for multinomial models. Statist. Sinica, 8, 841–860.
    • (1998) Statist. Sinica , vol.8 , pp. 841-860
    • Basu, A.1    Basu, S.2
  • 2
    • 0030139587 scopus 로고    scopus 로고
    • Test of hypothesis in discrete models based on the penalized Hellinger distance
    • Basu, A., Harris, I.R. and Basu, S. (1996). Test of hypothesis in discrete models based on the penalized Hellinger distance. Statist. Probab. Lett., 27, 367–373.
    • (1996) Statist. Probab. Lett. , vol.27 , pp. 367-373
    • Basu, A.1    Harris, I.R.2    Basu, S.3
  • 3
    • 0002635276 scopus 로고    scopus 로고
    • Minimum distance estimation: The approach using density-based distances
    • North-Holland, Amsterdam
    • Basu, A. and Harris, I.R. and Basu, S. (1997). Minimum distance estimation: The approach using density-based distances. In Handbook of Statistics, 15, 21–48. North-Holland, Amsterdam.
    • (1997) Handbook of Statistics, 15 , pp. 21-48
    • Basu, A.1    Harris, I.R.2    Basu, S.3
  • 4
    • 0000204608 scopus 로고
    • Minimum Hellinger Distance Estimates for Parametric Models
    • Beran, R. (1977). Minimum Hellinger Distance Estimates for Parametric Models. Ann. Statist., 5, 445–463.
    • (1977) Ann. Statist. , vol.5 , pp. 445-463
    • Beran, R.1
  • 6
    • 84963223966 scopus 로고
    • Hellinger distance as a penalized log likelihood
    • Harris, I.R. and Basu, A. (1994). Hellinger distance as a penalized log likelihood. Comm. Statist. Simulation and Comput., 23, 1097–1113.
    • (1994) Comm. Statist. Simulation and Comput. , vol.23 , pp. 1097-1113
    • Harris, I.R.1    Basu, A.2
  • 9
    • 0011652314 scopus 로고
    • Efficiency versus robustness: the case for minimum Hellinger distance and related methods
    • Lindsay, B.G. (1994). Efficiency versus robustness: the case for minimum Hellinger distance and related methods. Ann. Statist., 22, 1081–1114.
    • (1994) Ann. Statist. , vol.22 , pp. 1081-1114
    • Lindsay, B.G.1
  • 11
    • 0000752292 scopus 로고
    • Criteria of estimation in large samples
    • Rao, C.R. (1963). Criteria of estimation in large samples. Sankhyā, Ser. A, 25, 189–206.
    • (1963) Sankhyā, Ser. A , vol.25 , pp. 189-206
    • Rao, C.R.1
  • 14
    • 0000167105 scopus 로고
    • Minimum Hellinger distance estimation for the analysis of count data
    • Simpson, D.G. (1987). Minimum Hellinger distance estimation for the analysis of count data. J. Amer. Statist. Assoc., 82, 802–807.
    • (1987) J. Amer. Statist. Assoc. , vol.82 , pp. 802-807
    • Simpson, D.G.1
  • 15
    • 0001739061 scopus 로고
    • Hellinger deviance test: efficiency, breakdown points, and examples
    • Simpson, D.G. (1989). Hellinger deviance test: efficiency, breakdown points, and examples. J. Amer. Statist. Assoc., 84, 107–113.
    • (1989) J. Amer. Statist. Assoc. , vol.84 , pp. 107-113
    • Simpson, D.G.1
  • 16
    • 84950915739 scopus 로고
    • Minimum Hellinger distance estimation for multivariate location and covariance
    • Tamura, R.N. and Boos, D.D. (1986). Minimum Hellinger distance estimation for multivariate location and covariance. J. Amer. Statist. Assoc., 81, 223–229.
    • (1986) J. Amer. Statist. Assoc. , vol.81 , pp. 223-229
    • Tamura, R.N.1    Boos, D.D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.