메뉴 건너뛰기




Volumn 55, Issue 8, 2011, Pages 2516-2524

The complementary exponential geometric distribution: Model, properties, and a comparison with its counterpart

Author keywords

Censoring; Complementary risks; Exponential distribution; Exponential geometric distribution; Geometric distribution; Survival analysis

Indexed keywords

CENSORING; COMPLEMENTARY RISKS; EXPONENTIAL DISTRIBUTIONS; GEOMETRIC DISTRIBUTION; SURVIVAL ANALYSIS;

EID: 79954560902     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.csda.2011.02.018     Document Type: Article
Times cited : (68)

References (25)
  • 1
    • 0023326910 scopus 로고
    • How to identify a bathtub hazard rate
    • M.V. Aarset How to identify a bathtub hazard rate IEEE Transactions on Reliability 2 1 1987 106 108
    • (1987) IEEE Transactions on Reliability , vol.2 , Issue.1 , pp. 106-108
    • Aarset, M.V.1
  • 3
    • 0011339598 scopus 로고    scopus 로고
    • A lifetime distribution with decreasing failure rate
    • PII S0167715298000121
    • K. Adamidis, and S. Loukas A lifetime distribution with decreasing failure rate Statistics Probability Letters 39 1998 35 42 (Pubitemid 128354680)
    • (1998) Statistics and Probability Letters , vol.39 , Issue.1 , pp. 35-42
    • Adamidis, K.1    Loukas, S.2
  • 6
    • 0043000178 scopus 로고
    • Some recent development in competing risks theory
    • A. Basu, and J. Klein Some recent development in competing risks theory J. Crowley, R.A. Johnson, Survival Analysis vol. 1 (1) 1982 IMS Hayward 216 229
    • (1982) Survival Analysis , vol.11 , pp. 216-229
    • Basu, A.1    Klein, J.2
  • 10
    • 0040732820 scopus 로고
    • Goodness of fit tests for the gamma and exponential distributions
    • A. Dahiya, and J. Gurland Goodness of fit tests for the gamma and exponential distributions Technometrics 14 1972 791 801
    • (1972) Technometrics , vol.14 , pp. 791-801
    • Dahiya, A.1    Gurland, J.2
  • 11
    • 0038954666 scopus 로고
    • The gamma distribution as a mixture of exponential distributions
    • L.J. Gleser The gamma distribution as a mixture of exponential distributions The American Statistician 43 1989 115 117
    • (1989) The American Statistician , vol.43 , pp. 115-117
    • Gleser, L.J.1
  • 12
    • 0042496752 scopus 로고
    • A modified log rank test for competing risks with missing failure type
    • E. Goetghebeur, and L. Ryan A modified log rank test for competing risks with missing failure type Biometrika 77 2 1995 207 211
    • (1995) Biometrika , vol.77 , Issue.2 , pp. 207-211
    • Goetghebeur, E.1    Ryan, L.2
  • 14
    • 52949129903 scopus 로고    scopus 로고
    • On a connection between the polylogarithm function and the Bass diffusion model
    • P. Jodr On a connection between the polylogarithm function and the Bass diffusion model Proceedings of the Royal Society 464 2008 3081 3088
    • (2008) Proceedings of the Royal Society , vol.464 , pp. 3081-3088
    • Jodr, P.1
  • 15
    • 34147131788 scopus 로고    scopus 로고
    • A new lifetime distribution
    • DOI 10.1016/j.csda.2006.07.017, PII S0167947306002313
    • C. Kus A new lifetime distribution Computation Statist. Data Analysis 51 2007 4497 4509 (Pubitemid 46560908)
    • (2007) Computational Statistics and Data Analysis , vol.51 , Issue.9 , pp. 4497-4509
    • Kus, C.1
  • 17
    • 79954513025 scopus 로고    scopus 로고
    • Poly-hazard regression models for lifetime data
    • F. Louzada-Neto Poly-hazard regression models for lifetime data Biometrics 55 1999 1121 1125
    • (1999) Biometrics , vol.55 , pp. 1121-1125
    • Louzada-Neto, F.1
  • 18
    • 0035190476 scopus 로고    scopus 로고
    • Multiple imputation methods for estimating regression coefficients in the competing risks model with missing cause of failure
    • K. Lu, and A.A. Tsiatis Multiple imputation methods for estimating regression coefficients in the competing risks model with missing cause of failure Biometrics 57 4 2001 1191 1197 (Pubitemid 33108112)
    • (2001) Biometrics , vol.57 , Issue.4 , pp. 1191-1197
    • Lu, K.1    Tsiatis, A.A.2
  • 19
    • 14944350123 scopus 로고    scopus 로고
    • Comparison between two partial likelihood approaches for the competing risks model with missing cause of failure
    • DOI 10.1007/s10985-004-5638-0
    • K. Lu, and A.A. Tsiatis Comparison between two partial likelihood approaches for the competing risks model with missing cause of failure Lifetime Data Analysis 11 1 2005 29 40 (Pubitemid 40366417)
    • (2005) Lifetime Data Analysis , vol.11 , Issue.1 , pp. 29-40
    • Lu, K.1    Tsiatis, A.A.2
  • 20
    • 0029564269 scopus 로고
    • Testing for the presence of immune or cured individuals in censored survival data
    • DOI 10.2307/2533253
    • R.A. Maller, and S. Zhou Testing for the presence of immune or cured individuals in censored survival data Biometrics 51 4 1995 1197 1205 (Pubitemid 26030167)
    • (1995) Biometrics , vol.51 , Issue.4 , pp. 1197-1205
    • Maller, R.A.1    Zhou, S.2
  • 21
    • 77958077805 scopus 로고    scopus 로고
    • Doctoral thesis, Istitute of Computer Science and Matheamatics-University of São Paulo, São Paulo
    • Perdon, G.S.C., 2006, Modelos de Risco Aplicados Anlise de Sobrevivência. Doctoral thesis, Istitute of Computer Science and MatheamaticsUniversity of São Paulo, São Paulo.
    • (2006) Modelos de Risco Aplicados à Análise de Sobrevivência
    • Perdoná, G.S.C.1
  • 22
    • 0015806615 scopus 로고
    • Exponential survivals with censuring and explanatory variable
    • R.L. Prentice Exponential survivals with censuring and explanatory variable Biometrika 60 1973 279 288
    • (1973) Biometrika , vol.60 , pp. 279-288
    • Prentice, R.L.1
  • 23
    • 84946632766 scopus 로고
    • Theorical explanation of observed decreasing failure rate
    • F. Proschan Theorical explanation of observed decreasing failure rate Technometrics 5 1963 375 383
    • (1963) Technometrics , vol.5 , pp. 375-383
    • Proschan, F.1
  • 24
    • 5344244656 scopus 로고    scopus 로고
    • R Development Core Team R Foundation for Statistical Computing, Vienna, Austria
    • R Development Core Team (2008). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria.
    • (2008) R: A Language and Environment for Statistical Computing


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.