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Volumn 38, Issue 19, 2009, Pages 3544-3560

Robust confidence intervals for the bernoulli parameter

Author keywords

Bernoulli parameter; Coverage probability; Expected interval width

Indexed keywords

BERNOULLI; BERNOULLI PARAMETER; BERNOULLI PROCESS; BINARY DATA; CONFIDENCE INTERVAL; CONFIDENCE-INTERVAL PROCEDURES; COVERAGE PROBABILITIES; COVERAGE PROBABILITY; DISCRETE NUMBERS; EXPECTED INTERVAL; EXPECTED INTERVAL WIDTH; PROBABILITY OF SUCCESS; SAMPLE SIZES; STANDARD DEVIATION;

EID: 70349640319     PISSN: 03610926     EISSN: 1532415X     Source Type: Journal    
DOI: 10.1080/03610920802602958     Document Type: Article
Times cited : (4)

References (9)
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    • Henderson, M., Meyer, M. C. (2001). Exploring the confidence interval for a binomial parameter in a .rst course in statistical computing. Amer. Statistician 55(4):337-344.
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    • Henderson, M.1    Meyer, M.C.2
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    • Kuhl, M. E., Steiger, N. M., Armstrong, F. B., Joines, J. A., eds. December 4-7. Orlando, FL. ACM 2005, ISBN 0-7803-9519-0. Piscataway, NJ: Institute of Electrical and Electronics Engineers. Norwood, NJ: Ablex Publishing Corp
    • Song, W.-M. T., Chiu, W. C., Goldsman, D. (2005). Importance sampling techniques for estimating the bit error rate in digital communication systems. In: Kuhl, M. E., Steiger, N. M., Armstrong, F. B., Joines, J. A., eds. Proc. 2005 Winter Simulation Conference. December 4-7, 2005. Orlando, FL. ACM 2005, ISBN 0-7803-9519-0. pp. 2710-2717. Piscataway, NJ: Institute of Electrical and Electronics Engineers. Norwood, NJ: Ablex Publishing Corp.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.