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Volumn 10, Issue 1, 2010, Pages 104-124

Creating synthetic discrete-response regression models

Author keywords

Hurdle; Logistic; Monte carlo; Multinomial; NB C; NB1; NB2; Offset; Ordered; Poisson; Probit; Pseudorandom; Simulation; St0186; Synthetic

Indexed keywords


EID: 77955014297     PISSN: 1536867X     EISSN: None     Source Type: Journal    
DOI: 10.1177/1536867x1001000110     Document Type: Article
Times cited : (10)

References (11)
  • 5
    • 77950991213 scopus 로고    scopus 로고
    • Boca Raton, FL: Chapman & Hall/CRC.
    • -. 2009. Logistic Regression Models. Boca Raton, FL: Chapman & Hall/CRC.
    • (2009) Logistic Regression Models
  • 7
    • 77955032502 scopus 로고    scopus 로고
    • College Station, TX: Stata Press.
    • Reprinted in Stata Technical Bulletin Reprints, vol. 5, pp. 118-121. College Station, TX: Stata Press.
    • Stata Technical Bulletin Reprints , vol.5 , pp. 118-121
  • 8
    • 33750050914 scopus 로고    scopus 로고
    • Sg44.1: Correction to random number generators
    • -. 1998. sg44.1: Correction to random number generators. Stata Technical Bulletin 41: 23.
    • (1998) Stata Technical Bulletin , vol.41 , pp. 23
  • 9
    • 77955032843 scopus 로고    scopus 로고
    • College Station, TX: Stata Press.
    • Reprinted in Stata Technical Bulletin Reprints, vol. 7, p. 166. College Station, TX: Stata Press.
    • Stata Technical Bulletin Reprints , vol.7 , pp. 166


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.