Filtros : "GRÁFICOS" "Universidade Federal de Minas Gerais - UFMG, Departamento de Estatística, Belo Horizonte, MG" Removidos: "Nascimento, Diego Carvalho do" "HIRATSUCA, SIMONE" Limpar

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  • Source: Computers & Industrial Engineering. Unidade: EP

    Subjects: MÉTODO DE MONTE CARLO, GRÁFICOS

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    • ABNT

      QUININO, Roberto da Costa e CRUZ, Frederico Rodrigues Borges da e HO, Linda Lee. Attribute inspection control charts for the joint monitoring of mean and variance. Computers & Industrial Engineering, v. 139, n. Ja 2020, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.cie.2019.106131. Acesso em: 27 jun. 2024.
    • APA

      Quinino, R. da C., Cruz, F. R. B. da, & Ho, L. L. (2020). Attribute inspection control charts for the joint monitoring of mean and variance. Computers & Industrial Engineering, 139( Ja 2020). doi:10.1016/j.cie.2019.106131
    • NLM

      Quinino R da C, Cruz FRB da, Ho LL. Attribute inspection control charts for the joint monitoring of mean and variance [Internet]. Computers & Industrial Engineering. 2020 ; 139( Ja 2020):[citado 2024 jun. 27 ] Available from: https://doi.org/10.1016/j.cie.2019.106131
    • Vancouver

      Quinino R da C, Cruz FRB da, Ho LL. Attribute inspection control charts for the joint monitoring of mean and variance [Internet]. Computers & Industrial Engineering. 2020 ; 139( Ja 2020):[citado 2024 jun. 27 ] Available from: https://doi.org/10.1016/j.cie.2019.106131
  • Source: Journal of Statistical Computation and Simulation. Unidade: EP

    Subjects: GRÁFICOS, ESTATÍSTICA

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    • ABNT

      QUININO, Roberto da Costa et al. A control chart to monitor the process mean based on inspecting attributes using control limits of the traditional X-bar chart. Journal of Statistical Computation and Simulation, v. 90, n. 9, p. 1639-1660, 2020Tradução . . Disponível em: https://doi.org/10.1080/00949655.2020.1741588. Acesso em: 27 jun. 2024.
    • APA

      Quinino, R. da C., Ho, L. L., Cruz, F. R. B. da, & Bessegato, L. F. (2020). A control chart to monitor the process mean based on inspecting attributes using control limits of the traditional X-bar chart. Journal of Statistical Computation and Simulation, 90( 9), 1639-1660. doi:10.1080/00949655.2020.1741588
    • NLM

      Quinino R da C, Ho LL, Cruz FRB da, Bessegato LF. A control chart to monitor the process mean based on inspecting attributes using control limits of the traditional X-bar chart [Internet]. Journal of Statistical Computation and Simulation. 2020 ; 90( 9): 1639-1660.[citado 2024 jun. 27 ] Available from: https://doi.org/10.1080/00949655.2020.1741588
    • Vancouver

      Quinino R da C, Ho LL, Cruz FRB da, Bessegato LF. A control chart to monitor the process mean based on inspecting attributes using control limits of the traditional X-bar chart [Internet]. Journal of Statistical Computation and Simulation. 2020 ; 90( 9): 1639-1660.[citado 2024 jun. 27 ] Available from: https://doi.org/10.1080/00949655.2020.1741588
  • Source: Spatial Statistics. Unidade: EP

    Subjects: GRÁFICOS, ROUBO, VEÍCULOS

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    • ABNT

      MOALA, Adriano Buran e HO, Linda Lee e QUININO, Roberto da Costa. Multivariate control charts to monitor the monthly frequency of vehicle robberies in São Paulo city. Spatial Statistics, v. 29, p. 49-65, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.spasta.2018.09.002. Acesso em: 27 jun. 2024.
    • APA

      Moala, A. B., Ho, L. L., & Quinino, R. da C. (2019). Multivariate control charts to monitor the monthly frequency of vehicle robberies in São Paulo city. Spatial Statistics, 29, 49-65. doi:10.1016/j.spasta.2018.09.002
    • NLM

      Moala AB, Ho LL, Quinino R da C. Multivariate control charts to monitor the monthly frequency of vehicle robberies in São Paulo city [Internet]. Spatial Statistics. 2019 ; 29 49-65.[citado 2024 jun. 27 ] Available from: https://doi.org/10.1016/j.spasta.2018.09.002
    • Vancouver

      Moala AB, Ho LL, Quinino R da C. Multivariate control charts to monitor the monthly frequency of vehicle robberies in São Paulo city [Internet]. Spatial Statistics. 2019 ; 29 49-65.[citado 2024 jun. 27 ] Available from: https://doi.org/10.1016/j.spasta.2018.09.002
  • Source: International Journal of Production Economics. Unidade: EP

    Subjects: GRÁFICOS, ALGORITMOS GENÉTICOS

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    • ABNT

      BEZERRA, Erica Leandro e HO, Linda Lee e QUININO, Roberto da Costa. GS²: an optimized attribute control chart to monitor process variability. International Journal of Production Economics, v. 195, n. Ja 2018, p. 287-295, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.ijpe.2017.10.023. Acesso em: 27 jun. 2024.
    • APA

      Bezerra, E. L., Ho, L. L., & Quinino, R. da C. (2018). GS²: an optimized attribute control chart to monitor process variability. International Journal of Production Economics, 195( Ja 2018), 287-295. doi:10.1016/j.ijpe.2017.10.023
    • NLM

      Bezerra EL, Ho LL, Quinino R da C. GS²: an optimized attribute control chart to monitor process variability [Internet]. International Journal of Production Economics. 2018 ; 195( Ja 2018): 287-295.[citado 2024 jun. 27 ] Available from: https://doi.org/10.1016/j.ijpe.2017.10.023
    • Vancouver

      Bezerra EL, Ho LL, Quinino R da C. GS²: an optimized attribute control chart to monitor process variability [Internet]. International Journal of Production Economics. 2018 ; 195( Ja 2018): 287-295.[citado 2024 jun. 27 ] Available from: https://doi.org/10.1016/j.ijpe.2017.10.023

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