Filtros : "Quinino, Roberto da Costa" "Estados Unidos" Removido: "2011" Limpar

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  • Source: Communications in Statistics. Simulation and Computation. Unidade: EP

    Subjects: MÉTODO DE MONTE CARLO, PROCESSOS DE FABRICAÇÃO

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    • ABNT

      MORAIS, Ricardo Saldanha de et al. Inferences in dichotomous classifications with misclassifications based on sequential repetitive classifications. Communications in Statistics. Simulation and Computation, v. 46, n. 10, p. 8264-8282, 2017Tradução . . Disponível em: https://doi.org/10.1080/03610918.2016.1277745. Acesso em: 01 out. 2024.
    • APA

      Morais, R. S. de, Quinino, R. da C., Suyama, E., & Ho, L. L. (2017). Inferences in dichotomous classifications with misclassifications based on sequential repetitive classifications. Communications in Statistics. Simulation and Computation, 46( 10), 8264-8282. doi:10.1080/03610918.2016.1277745
    • NLM

      Morais RS de, Quinino R da C, Suyama E, Ho LL. Inferences in dichotomous classifications with misclassifications based on sequential repetitive classifications [Internet]. Communications in Statistics. Simulation and Computation. 2017 ; 46( 10): 8264-8282.[citado 2024 out. 01 ] Available from: https://doi.org/10.1080/03610918.2016.1277745
    • Vancouver

      Morais RS de, Quinino R da C, Suyama E, Ho LL. Inferences in dichotomous classifications with misclassifications based on sequential repetitive classifications [Internet]. Communications in Statistics. Simulation and Computation. 2017 ; 46( 10): 8264-8282.[citado 2024 out. 01 ] Available from: https://doi.org/10.1080/03610918.2016.1277745
  • Source: Communications in Statistics. Simulation and Computation. Unidade: EP

    Subjects: PROCESSOS DE MARKOV, NFERÊNCIA BAYESIANA, MATEMÁTICA DA COMPUTAÇÃO

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    • ABNT

      CRUZ, Frederico Rodrigues Borges da e QUININO, Roberto da Costa e HO, Linda Lee. Bayesian estimation of traffic intensity based on queue length in a multi-server M/M/s queue. Communications in Statistics. Simulation and Computation, v. 46, n. 9, p. 6907-6922, 2017Tradução . . Disponível em: https://doi.org/10.1080/03610918.2016.1236953. Acesso em: 01 out. 2024.
    • APA

      Cruz, F. R. B. da, Quinino, R. da C., & Ho, L. L. (2017). Bayesian estimation of traffic intensity based on queue length in a multi-server M/M/s queue. Communications in Statistics. Simulation and Computation, 46( 9), 6907-6922. doi:10.1080/03610918.2016.1236953
    • NLM

      Cruz FRB da, Quinino R da C, Ho LL. Bayesian estimation of traffic intensity based on queue length in a multi-server M/M/s queue [Internet]. Communications in Statistics. Simulation and Computation. 2017 ; 46( 9): 6907-6922.[citado 2024 out. 01 ] Available from: https://doi.org/10.1080/03610918.2016.1236953
    • Vancouver

      Cruz FRB da, Quinino R da C, Ho LL. Bayesian estimation of traffic intensity based on queue length in a multi-server M/M/s queue [Internet]. Communications in Statistics. Simulation and Computation. 2017 ; 46( 9): 6907-6922.[citado 2024 out. 01 ] Available from: https://doi.org/10.1080/03610918.2016.1236953
  • Source: Communications in Statistics - Theory and Methods. Unidade: EP

    Subjects: CADEIAS DE MARKOV, MODELOS PARA PROCESSOS ESTOCÁSTICOS

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    • ABNT

      HO, Linda Lee e QUININO, Roberto da Costa. The variable sampling interval (VSI) in an analysis of Taguchi's on-line quality monitoring procedure for variables. Communications in Statistics - Theory and Methods, v. 42, n. 6, p. 974-987, 2013Tradução . . Disponível em: https://doi.org/10.1080/03610926.2011.592251. Acesso em: 01 out. 2024.
    • APA

      Ho, L. L., & Quinino, R. da C. (2013). The variable sampling interval (VSI) in an analysis of Taguchi's on-line quality monitoring procedure for variables. Communications in Statistics - Theory and Methods, 42( 6), 974-987. doi:10.1080/03610926.2011.592251
    • NLM

      Ho LL, Quinino R da C. The variable sampling interval (VSI) in an analysis of Taguchi's on-line quality monitoring procedure for variables [Internet]. Communications in Statistics - Theory and Methods. 2013 ;42( 6): 974-987.[citado 2024 out. 01 ] Available from: https://doi.org/10.1080/03610926.2011.592251
    • Vancouver

      Ho LL, Quinino R da C. The variable sampling interval (VSI) in an analysis of Taguchi's on-line quality monitoring procedure for variables [Internet]. Communications in Statistics - Theory and Methods. 2013 ;42( 6): 974-987.[citado 2024 out. 01 ] Available from: https://doi.org/10.1080/03610926.2011.592251
  • Source: Communications in Statistics - Theory and Methods. Unidade: EP

    Subjects: CONTROLE DA QUALIDADE, CONTROLE DE PROCESSOS (ON-LINE), CADEIAS DE MARKOV

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      BESSEGATO, Lupércio França et al. On-line process control using attributes with misclassification errors: an economical design for short-run production. Communications in Statistics - Theory and Methods, v. 41, n. 10, p. 1813\20131832, 2012Tradução . . Disponível em: https://doi.org/10.1080/03610926.2010.551451. Acesso em: 01 out. 2024.
    • APA

      Bessegato, L. F., Quinino, R. da C., Duczmal, L. H., & Ho, L. L. (2012). On-line process control using attributes with misclassification errors: an economical design for short-run production. Communications in Statistics - Theory and Methods, 41( 10), 1813\20131832. doi:10.1080/03610926.2010.551451
    • NLM

      Bessegato LF, Quinino R da C, Duczmal LH, Ho LL. On-line process control using attributes with misclassification errors: an economical design for short-run production [Internet]. Communications in Statistics - Theory and Methods. 2012 ; 41( 10): 1813\20131832.[citado 2024 out. 01 ] Available from: https://doi.org/10.1080/03610926.2010.551451
    • Vancouver

      Bessegato LF, Quinino R da C, Duczmal LH, Ho LL. On-line process control using attributes with misclassification errors: an economical design for short-run production [Internet]. Communications in Statistics - Theory and Methods. 2012 ; 41( 10): 1813\20131832.[citado 2024 out. 01 ] Available from: https://doi.org/10.1080/03610926.2010.551451
  • Source: Quality Engineering. Unidade: EP

    Subjects: INOVAÇÕES TECNOLÓGICAS, PROCESSO (QUALIDADE), INFERÊNCIA ESTATÍSTICA, INFERÊNCIA BAYESIANA

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    • ABNT

      QUININO, Roberto da Costa e COSTA, A e HO, Linda Lee. A single statistic for monitoring the covariance matrix of bivariate processes. Quality Engineering, v. 24, n. 3, p. 423–430, 2012Tradução . . Disponível em: https://doi.org/10.1080/08982112.2012.682046. Acesso em: 01 out. 2024.
    • APA

      Quinino, R. da C., Costa, A., & Ho, L. L. (2012). A single statistic for monitoring the covariance matrix of bivariate processes. Quality Engineering, 24( 3), 423–430. doi:10.1080/08982112.2012.682046
    • NLM

      Quinino R da C, Costa A, Ho LL. A single statistic for monitoring the covariance matrix of bivariate processes [Internet]. Quality Engineering. 2012 ; 24( 3): 423–430.[citado 2024 out. 01 ] Available from: https://doi.org/10.1080/08982112.2012.682046
    • Vancouver

      Quinino R da C, Costa A, Ho LL. A single statistic for monitoring the covariance matrix of bivariate processes [Internet]. Quality Engineering. 2012 ; 24( 3): 423–430.[citado 2024 out. 01 ] Available from: https://doi.org/10.1080/08982112.2012.682046
  • Source: Applied Stochastic Models in Business and Industry. Unidade: EP

    Subjects: CONTROLE DA QUALIDADE, CADEIAS DE MARKOV

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      TRINDADE, Anderson Laécio Galindo e HO, Linda Lee e QUININO, Roberto da Costa. Monitoring process for attributes with quality deterioration and diagnosis errors. Applied Stochastic Models in Business and Industry, v. 23, n. 4, p. 339-358, 2007Tradução . . Disponível em: https://doi.org/10.1002/asmb.675. Acesso em: 01 out. 2024.
    • APA

      Trindade, A. L. G., Ho, L. L., & Quinino, R. da C. (2007). Monitoring process for attributes with quality deterioration and diagnosis errors. Applied Stochastic Models in Business and Industry, 23( 4), 339-358. doi:10.1002/asmb.675
    • NLM

      Trindade ALG, Ho LL, Quinino R da C. Monitoring process for attributes with quality deterioration and diagnosis errors [Internet]. Applied Stochastic Models in Business and Industry. 2007 ;23( 4): 339-358.[citado 2024 out. 01 ] Available from: https://doi.org/10.1002/asmb.675
    • Vancouver

      Trindade ALG, Ho LL, Quinino R da C. Monitoring process for attributes with quality deterioration and diagnosis errors [Internet]. Applied Stochastic Models in Business and Industry. 2007 ;23( 4): 339-358.[citado 2024 out. 01 ] Available from: https://doi.org/10.1002/asmb.675
  • Source: Quality Engineering. Unidade: EP

    Subjects: ANÁLISE NUMÉRICA, MÉTODO DE MONTE CARLO, MÉTODOS NUMÉRICOS

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      HO, Linda Lee e QUININO, Roberto da Costa. Optimum mean location in a poor-capability process. Quality Engineering, v. 16, n. 2, p. 257-263, 2003Tradução . . Disponível em: https://doi.org/10.1081/QEN-120024014. Acesso em: 01 out. 2024.
    • APA

      Ho, L. L., & Quinino, R. da C. (2003). Optimum mean location in a poor-capability process. Quality Engineering, 16( 2), 257-263. doi:10.1081/QEN-120024014
    • NLM

      Ho LL, Quinino R da C. Optimum mean location in a poor-capability process [Internet]. Quality Engineering. 2003 ; 16( 2): 257-263.[citado 2024 out. 01 ] Available from: https://doi.org/10.1081/QEN-120024014
    • Vancouver

      Ho LL, Quinino R da C. Optimum mean location in a poor-capability process [Internet]. Quality Engineering. 2003 ; 16( 2): 257-263.[citado 2024 out. 01 ] Available from: https://doi.org/10.1081/QEN-120024014

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