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Volumn 62, Issue 4, 2000, Pages 787-793

Cochran's rule for simple random sampling

Author keywords

Confidence interval; Coverage probability; Edgeworth expansion; Kurtosis; Sampling fraction; Simple random sampling; Skewness

Indexed keywords


EID: 0034354147     PISSN: 13697412     EISSN: None     Source Type: Journal    
DOI: 10.1111/1467-9868.00264     Document Type: Article
Times cited : (23)

References (14)
  • 1
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    • Bai, Z. D. and Rao, C. R. (1991) Edgeworth expansion of a function of sample means. Ann. Statist., 19, 1295-1315.
    • (1991) Ann. Statist. , vol.19 , pp. 1295-1315
    • Bai, Z.D.1    Rao, C.R.2
  • 2
    • 0001775226 scopus 로고
    • Measurement of precision attained in sampling
    • book 1
    • Bowley, A. (1926) Measurement of precision attained in sampling. Bull. Int. Statist. Inst., 22, book 1, 1-45.
    • (1926) Bull. Int. Statist. Inst. , vol.22 , pp. 1-45
    • Bowley, A.1
  • 4
    • 0002491575 scopus 로고
    • On the central limit theorem for samples from a finite population
    • Erdös, P. and Rényi, A. (1959) On the central limit theorem for samples from a finite population. Publ. Math. Inst. Hung. Acad. Sci., 4, 49-57.
    • (1959) Publ. Math. Inst. Hung. Acad. Sci. , vol.4 , pp. 49-57
    • Erdös, P.1    Rényi, A.2
  • 5
    • 0000403640 scopus 로고
    • Limiting distributions in simple random sampling from a finite population
    • Hájek, J. (1960) Limiting distributions in simple random sampling from a finite population. Publ. Math. Inst. Hung. Acad. Sci., 5, 361-374.
    • (1960) Publ. Math. Inst. Hung. Acad. Sci. , vol.5 , pp. 361-374
    • Hájek, J.1
  • 8
    • 0001897525 scopus 로고
    • On the limiting distributions of estimates based on samples from finite universes
    • Madow, W. G. (1948) On the limiting distributions of estimates based on samples from finite universes. Ann. Math. Statist., 19, 535-545.
    • (1948) Ann. Math. Statist. , vol.19 , pp. 535-545
    • Madow, W.G.1
  • 9
    • 0001945963 scopus 로고
    • A simple proof of the nonapplicability of the Central Limit Theorem to finite populations
    • Plane, D. R. and Gordon, K. R. (1982) A simple proof of the nonapplicability of the Central Limit Theorem to finite populations. Am. Statistn, 36, 175-176.
    • (1982) Am. Statistn , vol.36 , pp. 175-176
    • Plane, D.R.1    Gordon, K.R.2
  • 10
    • 0001531075 scopus 로고
    • An asymptotic expansion for samples from a finite population
    • Robinson, J. (1978) An asymptotic expansion for samples from a finite population. Ann. Statist., 6, 1005-1011.
    • (1978) Ann. Statist. , vol.6 , pp. 1005-1011
    • Robinson, J.1
  • 11
    • 0032243133 scopus 로고    scopus 로고
    • Bounds for probabilities of small relative errors for empirical saddlepoint and bootstrap tail approximations
    • Robinson, J. and Skovgaard, I. M. (1998) Bounds for probabilities of small relative errors for empirical saddlepoint and bootstrap tail approximations. Ann. Statist., 26, 2369-2394.
    • (1998) Ann. Statist. , vol.26 , pp. 2369-2394
    • Robinson, J.1    Skovgaard, I.M.2
  • 12
    • 0001630482 scopus 로고
    • Asymptotic theory for successive sampling with varying probabilities without replacement, parts I and II
    • Rosén, B. (1972) Asymptotic theory for successive sampling with varying probabilities without replacement, parts I and II. Ann. Math. Statist., 43, 373-397, 748-776.
    • (1972) Ann. Math. Statist. , vol.43 , pp. 373-397
    • Rosén, B.1
  • 13
    • 0031575030 scopus 로고    scopus 로고
    • Edgeworth approximations to the distribution of the sample mean under simple random sampling
    • Sugden, R. A. and Smith, T. M. F. (1997) Edgeworth approximations to the distribution of the sample mean under simple random sampling. Statist. Probab. Lett., 34, 293-299.
    • (1997) Statist. Probab. Lett. , vol.34 , pp. 293-299
    • Sugden, R.A.1    Smith, T.M.F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.