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Filtros : "Ho, Linda Lee" "EP" Removidos: "Microbiologia" "Berssaneti, Fernando Tobal" Limpar

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  • Artigo de periodico

    Triaxial resilient modulus regression models for cold recycled asphalt mixtures (2023)

    Meneses, João Paulo Costa ; Vasconcelos, Kamilla ; Ho, Linda Lee ; Bernucci, Liedi Légi Bariani

    Source: Road Materials and Pavement Design. Unidade: EP

    Subjects: PAVIMENTAÇÃO ASFÁLTICA, REGRESSÃO LINEAR

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      MENESES, João Paulo Costa et al. Triaxial resilient modulus regression models for cold recycled asphalt mixtures. Road Materials and Pavement Design, p. 15 on-line, 2023Tradução . . Disponível em: https://doi.org/10.1080/14680629.2023.2192832. Acesso em: 12 jun. 2024.

    • APA

      Meneses, J. P. C., Vasconcelos, K., Ho, L. L., & Bernucci, L. L. B. (2023). Triaxial resilient modulus regression models for cold recycled asphalt mixtures. Road Materials and Pavement Design, 15 on-line. doi:10.1080/14680629.2023.2192832

    • NLM

      Meneses JPC, Vasconcelos K, Ho LL, Bernucci LLB. Triaxial resilient modulus regression models for cold recycled asphalt mixtures [Internet]. Road Materials and Pavement Design. 2023 ; 15 on-line.[citado 2024 jun. 12 ] Available from: https://doi.org/10.1080/14680629.2023.2192832

    • Vancouver

      Meneses JPC, Vasconcelos K, Ho LL, Bernucci LLB. Triaxial resilient modulus regression models for cold recycled asphalt mixtures [Internet]. Road Materials and Pavement Design. 2023 ; 15 on-line.[citado 2024 jun. 12 ] Available from: https://doi.org/10.1080/14680629.2023.2192832

  • Artigo de periodico

    The BerG generalized autoregressive moving average model for count time series (2022)

    Sales, Lucas de Oliveira Ferreira de ; Alencar, Airlane Pereira ; Ho, Linda Lee

    Source: Computers & Industrial Engineering. Unidades: IME, EP

    Assunto: ANÁLISE DE SÉRIES TEMPORAIS

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      SALES, Lucas de Oliveira Ferreira de e ALENCAR, Airlane Pereira e HO, Linda Lee. The BerG generalized autoregressive moving average model for count time series. Computers & Industrial Engineering, v. 168, n. artigo 108104, p. 1-13, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.cie.2022.108104. Acesso em: 12 jun. 2024.

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      Sales, L. de O. F. de, Alencar, A. P., & Ho, L. L. (2022). The BerG generalized autoregressive moving average model for count time series. Computers & Industrial Engineering, 168( artigo 108104), 1-13. doi:10.1016/j.cie.2022.108104

    • NLM

      Sales L de OF de, Alencar AP, Ho LL. The BerG generalized autoregressive moving average model for count time series [Internet]. Computers & Industrial Engineering. 2022 ; 168( artigo 108104): 1-13.[citado 2024 jun. 12 ] Available from: https://doi.org/10.1016/j.cie.2022.108104

    • Vancouver

      Sales L de OF de, Alencar AP, Ho LL. The BerG generalized autoregressive moving average model for count time series [Internet]. Computers & Industrial Engineering. 2022 ; 168( artigo 108104): 1-13.[citado 2024 jun. 12 ] Available from: https://doi.org/10.1016/j.cie.2022.108104

  • Artigo de periodico

    Asphalt binder linear amplitude sweep test: contribution related to the α-value estimation (2021)

    Meneses, João Paulo Costa ; Vasconcelos, Kamilla ; Ho, Linda Lee ; Kuchiishi, André Kazuo ; Bernucci, Liedi Légi Bariani

    Source: Journal of Materials in Civil Engineering. Unidade: EP

    Subjects: ASFALTO, FADIGA DOS MATERIAIS, REGRESSÃO LINEAR, LOGARITMOS, MÉTODO DE MONTE CARLO

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      MENESES, João Paulo Costa et al. Asphalt binder linear amplitude sweep test: contribution related to the α-value estimation. Journal of Materials in Civil Engineering, v. 33, n. 2, p. com 9 , 2021Tradução . . Disponível em: https://doi.org/10.1061/(ASCE)MT.1943-5533.0003569. Acesso em: 12 jun. 2024.

    • APA

      Meneses, J. P. C., Vasconcelos, K., Ho, L. L., Kuchiishi, A. K., & Bernucci, L. L. B. (2021). Asphalt binder linear amplitude sweep test: contribution related to the α-value estimation. Journal of Materials in Civil Engineering, 33( 2), com 9 . doi:10.1061/(ASCE)MT.1943-5533.0003569

    • NLM

      Meneses JPC, Vasconcelos K, Ho LL, Kuchiishi AK, Bernucci LLB. Asphalt binder linear amplitude sweep test: contribution related to the α-value estimation [Internet]. Journal of Materials in Civil Engineering. 2021 ; 33( 2): com 9 .[citado 2024 jun. 12 ] Available from: https://doi.org/10.1061/(ASCE)MT.1943-5533.0003569

    • Vancouver

      Meneses JPC, Vasconcelos K, Ho LL, Kuchiishi AK, Bernucci LLB. Asphalt binder linear amplitude sweep test: contribution related to the α-value estimation [Internet]. Journal of Materials in Civil Engineering. 2021 ; 33( 2): com 9 .[citado 2024 jun. 12 ] Available from: https://doi.org/10.1061/(ASCE)MT.1943-5533.0003569

  • Artigo de periodico

    Attribute inspection control charts for the joint monitoring of mean and variance (2020)

    Quinino, Roberto da Costa ; Cruz, Frederico Rodrigues Borges da ; Ho, Linda Lee

    Source: Computers & Industrial Engineering. Unidade: EP

    Subjects: MÉTODO DE MONTE CARLO, GRÁFICOS

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      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: 12 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. 12 ] 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. 12 ] Available from: https://doi.org/10.1016/j.cie.2019.106131

  • Artigo de periodico

    Control charts for monitoring the ratio of two Poisson rates (2020)

    Yamauchi, Tsubasa; Ho, Linda Lee

    Source: Quality and Reliability Engineering International. Unidade: EP

    Subjects: GRÁFICOS, MÉTODO DE MONTE CARLO, SIMULAÇÃO (ESTATÍSTICA)

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      YAMAUCHI, Tsubasa e HO, Linda Lee. Control charts for monitoring the ratio of two Poisson rates. Quality and Reliability Engineering International, v. 36, n. 1, p. 214-230, 2020Tradução . . Disponível em: https://doi.org/10.1002/qre.2567. Acesso em: 12 jun. 2024.

    • APA

      Yamauchi, T., & Ho, L. L. (2020). Control charts for monitoring the ratio of two Poisson rates. Quality and Reliability Engineering International, 36( 1), 214-230. doi:10.1002/qre.2567

    • NLM

      Yamauchi T, Ho LL. Control charts for monitoring the ratio of two Poisson rates [Internet]. Quality and Reliability Engineering International. 2020 ; 36( 1): 214-230.[citado 2024 jun. 12 ] Available from: https://doi.org/10.1002/qre.2567

    • Vancouver

      Yamauchi T, Ho LL. Control charts for monitoring the ratio of two Poisson rates [Internet]. Quality and Reliability Engineering International. 2020 ; 36( 1): 214-230.[citado 2024 jun. 12 ] Available from: https://doi.org/10.1002/qre.2567

  • Artigo de periodico

    The use of control chart for a continuous monitoring of the water-oil ratio in fields of the Potiguar basin/Brazil (2020)

    Assunção, Carla Simone de Lima Teixeira; Vieira, Marcela Marques; Ho, Linda Lee

    Source: Acta Scientiarum. Technology. Unidade: EP

    Subjects: GRÁFICOS, PETRÓLEO, RESÍDUOS DE COMBUSTÍVEL

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      ASSUNÇÃO, Carla Simone de Lima Teixeira e VIEIRA, Marcela Marques e HO, Linda Lee. The use of control chart for a continuous monitoring of the water-oil ratio in fields of the Potiguar basin/Brazil. Acta Scientiarum. Technology, v. 42, n. Ja/Dec. 2020, p. 9 on-line, 2020Tradução . . Disponível em: https://doi.org/10.4025/actascitechnol.v42i1.42066. Acesso em: 12 jun. 2024.

    • APA

      Assunção, C. S. de L. T., Vieira, M. M., & Ho, L. L. (2020). The use of control chart for a continuous monitoring of the water-oil ratio in fields of the Potiguar basin/Brazil. Acta Scientiarum. Technology, 42( Ja/Dec. 2020), 9 on-line. doi:10.4025/actascitechnol.v42i1.42066

    • NLM

      Assunção CS de LT, Vieira MM, Ho LL. The use of control chart for a continuous monitoring of the water-oil ratio in fields of the Potiguar basin/Brazil [Internet]. Acta Scientiarum. Technology. 2020 ;42( Ja/Dec. 2020): 9 on-line.[citado 2024 jun. 12 ] Available from: https://doi.org/10.4025/actascitechnol.v42i1.42066

    • Vancouver

      Assunção CS de LT, Vieira MM, Ho LL. The use of control chart for a continuous monitoring of the water-oil ratio in fields of the Potiguar basin/Brazil [Internet]. Acta Scientiarum. Technology. 2020 ;42( Ja/Dec. 2020): 9 on-line.[citado 2024 jun. 12 ] Available from: https://doi.org/10.4025/actascitechnol.v42i1.42066

  • Artigo de periodico

    Control charts for traffic intensity monitoring of Markovian multiserver queues (2020)

    Cruz, Frederico Rodrigues Borges da ; Quinino, Roberto da Costa ; Ho, Linda Lee

    Source: Quality and Reliability Engineering International. Unidade: EP

    Subjects: TEORIA DAS FILAS, MÉTODO DE MONTE CARLO, PROCESSOS DE MARKOV

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      CRUZ, Frederico Rodrigues Borges da e QUININO, Roberto da Costa e HO, Linda Lee. Control charts for traffic intensity monitoring of Markovian multiserver queues. Quality and Reliability Engineering International, v. 36, n. 1, p. 354-364, 2020Tradução . . Disponível em: https://doi.org/10.1002/qre.2578. Acesso em: 12 jun. 2024.

    • APA

      Cruz, F. R. B. da, Quinino, R. da C., & Ho, L. L. (2020). Control charts for traffic intensity monitoring of Markovian multiserver queues. Quality and Reliability Engineering International, 36( 1), 354-364. doi:10.1002/qre.2578

    • NLM

      Cruz FRB da, Quinino R da C, Ho LL. Control charts for traffic intensity monitoring of Markovian multiserver queues [Internet]. Quality and Reliability Engineering International. 2020 ; 36( 1): 354-364.[citado 2024 jun. 12 ] Available from: https://doi.org/10.1002/qre.2578

    • Vancouver

      Cruz FRB da, Quinino R da C, Ho LL. Control charts for traffic intensity monitoring of Markovian multiserver queues [Internet]. Quality and Reliability Engineering International. 2020 ; 36( 1): 354-364.[citado 2024 jun. 12 ] Available from: https://doi.org/10.1002/qre.2578

  • Artigo de periodico

    A control chart to monitor the process mean based on inspecting attributes using control limits of the traditional X-bar chart (2020)

    Quinino, Roberto da Costa ; Ho, Linda Lee ; Cruz, Frederico Rodrigues Borges da ; Bessegato, Lupércio França

    Source: Journal of Statistical Computation and Simulation. Unidade: EP

    Subjects: GRÁFICOS, ESTATÍSTICA

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      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: 12 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. 12 ] 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. 12 ] Available from: https://doi.org/10.1080/00949655.2020.1741588

  • Artigo de periodico

    Shewhart control chart for monitoring the mean of Poisson mixed integer autoregressive processes via Monte Carlo simulation (2020)

    Sales, Lucas de Oliveira Ferreira de ; Pinho, André Luís Santos de ; Vivacqua, Carla Almeida ; Ho, Linda Lee

    Source: Computers & Industrial Engineering. Unidade: EP

    Subjects: CONTROLE ESTATÍSTICO DO PROCESSO, ANÁLISE DE SÉRIES TEMPORAIS, GRÁFICOS, MÉTODO DE MONTE CARLO

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      SALES, Lucas de Oliveira Ferreira de et al. Shewhart control chart for monitoring the mean of Poisson mixed integer autoregressive processes via Monte Carlo simulation. Computers & Industrial Engineering, v. 140, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.cie.2019.106245. Acesso em: 12 jun. 2024.

    • APA

      Sales, L. de O. F. de, Pinho, A. L. S. de, Vivacqua, C. A., & Ho, L. L. (2020). Shewhart control chart for monitoring the mean of Poisson mixed integer autoregressive processes via Monte Carlo simulation. Computers & Industrial Engineering, 140. doi:10.1016/j.cie.2019.106245

    • NLM

      Sales L de OF de, Pinho ALS de, Vivacqua CA, Ho LL. Shewhart control chart for monitoring the mean of Poisson mixed integer autoregressive processes via Monte Carlo simulation [Internet]. Computers & Industrial Engineering. 2020 ; 140[citado 2024 jun. 12 ] Available from: https://doi.org/10.1016/j.cie.2019.106245

    • Vancouver

      Sales L de OF de, Pinho ALS de, Vivacqua CA, Ho LL. Shewhart control chart for monitoring the mean of Poisson mixed integer autoregressive processes via Monte Carlo simulation [Internet]. Computers & Industrial Engineering. 2020 ; 140[citado 2024 jun. 12 ] Available from: https://doi.org/10.1016/j.cie.2019.106245

  • Artigo de periodico

    Assessing the relationship between sugarcane expansion and human development at the municipal level: a case study of Mato Grosso do Sul, Brazil (2020)

    Tomei, Julia ; Oliveira, Lucas Lyrio de ; Ribeiro, Celma ; Ho, Linda Lee ; Montoya, Luis Guillermo

    Source: Biomass and Bioenergy. Unidade: EP

    Subjects: CANA-DE-AÇÚCAR, LEGISLAÇÃO AMBIENTAL

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      TOMEI, Julia et al. Assessing the relationship between sugarcane expansion and human development at the municipal level: a case study of Mato Grosso do Sul, Brazil. Biomass and Bioenergy, v. 141, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.biombioe.2020.105700. Acesso em: 12 jun. 2024.

    • APA

      Tomei, J., Oliveira, L. L. de, Ribeiro, C., Ho, L. L., & Montoya, L. G. (2020). Assessing the relationship between sugarcane expansion and human development at the municipal level: a case study of Mato Grosso do Sul, Brazil. Biomass and Bioenergy, 141. doi:10.1016/j.biombioe.2020.105700

    • NLM

      Tomei J, Oliveira LL de, Ribeiro C, Ho LL, Montoya LG. Assessing the relationship between sugarcane expansion and human development at the municipal level: a case study of Mato Grosso do Sul, Brazil [Internet]. Biomass and Bioenergy. 2020 ; 141[citado 2024 jun. 12 ] Available from: https://doi.org/10.1016/j.biombioe.2020.105700

    • Vancouver

      Tomei J, Oliveira LL de, Ribeiro C, Ho LL, Montoya LG. Assessing the relationship between sugarcane expansion and human development at the municipal level: a case study of Mato Grosso do Sul, Brazil [Internet]. Biomass and Bioenergy. 2020 ; 141[citado 2024 jun. 12 ] Available from: https://doi.org/10.1016/j.biombioe.2020.105700

  • Artigo de periodico

    Control charts for monitoring the median parameter of Birnbaum‐Saunders distribution (2020)

    Pereira, Marcelo Bourguignon ; Ho, Linda Lee ; Fernandes, Fidel Henrique

    Source: Quality and Reliability Engineering International. Unidade: EP

    Subjects: GRÁFICOS, DISTRIBUIÇÕES (PROBABILIDADE), ESTIMAÇÃO PARAMÉTRICA, SIMULAÇÃO

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      PEREIRA, Marcelo Bourguignon e HO, Linda Lee e FERNANDES, Fidel Henrique. Control charts for monitoring the median parameter of Birnbaum‐Saunders distribution. Quality and Reliability Engineering International, v. 36, n. 5 p. 1333–1363, 2020Tradução . . Disponível em: https://doi.org/10.1002/qre.2632. Acesso em: 12 jun. 2024.

    • APA

      Pereira, M. B., Ho, L. L., & Fernandes, F. H. (2020). Control charts for monitoring the median parameter of Birnbaum‐Saunders distribution. Quality and Reliability Engineering International, 36( 5 p. 1333–1363). doi:10.1002/qre.2632

    • NLM

      Pereira MB, Ho LL, Fernandes FH. Control charts for monitoring the median parameter of Birnbaum‐Saunders distribution [Internet]. Quality and Reliability Engineering International. 2020 ; 36( 5 p. 1333–1363):[citado 2024 jun. 12 ] Available from: https://doi.org/10.1002/qre.2632

    • Vancouver

      Pereira MB, Ho LL, Fernandes FH. Control charts for monitoring the median parameter of Birnbaum‐Saunders distribution [Internet]. Quality and Reliability Engineering International. 2020 ; 36( 5 p. 1333–1363):[citado 2024 jun. 12 ] Available from: https://doi.org/10.1002/qre.2632

  • Artigo de periodico

    Optimizing additive manufacturing parameters for the fused deposition modeling technology using a design of experiments (2019)

    Durão, Luiz Fernando Cardoso dos Santos ; Barkoczy, Richard Anderson; Zancul, Eduardo de Senzi ; Ho, Linda Lee ; Bonnard, Renan

    Source: Progress in Additive Manufacturing. Unidade: EP

    Subjects: IMAGEM 3D, PROJETOS DE PRODUTOS, INOVAÇÕES TECNOLÓGICAS

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      DURÃO, Luiz Fernando Cardoso dos Santos et al. Optimizing additive manufacturing parameters for the fused deposition modeling technology using a design of experiments. Progress in Additive Manufacturing, v. 4, n. 3, p. 291-313, 2019Tradução . . Disponível em: https://doi.org/10.1007/s40964-019-00075-9. Acesso em: 12 jun. 2024.

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      Durão, L. F. C. dos S., Barkoczy, R. A., Zancul, E. de S., Ho, L. L., & Bonnard, R. (2019). Optimizing additive manufacturing parameters for the fused deposition modeling technology using a design of experiments. Progress in Additive Manufacturing, 4( 3), 291-313. doi:10.1007/s40964-019-00075-9

    • NLM

      Durão LFC dos S, Barkoczy RA, Zancul E de S, Ho LL, Bonnard R. Optimizing additive manufacturing parameters for the fused deposition modeling technology using a design of experiments [Internet]. Progress in Additive Manufacturing. 2019 ;4( 3): 291-313.[citado 2024 jun. 12 ] Available from: https://doi.org/10.1007/s40964-019-00075-9

    • Vancouver

      Durão LFC dos S, Barkoczy RA, Zancul E de S, Ho LL, Bonnard R. Optimizing additive manufacturing parameters for the fused deposition modeling technology using a design of experiments [Internet]. Progress in Additive Manufacturing. 2019 ;4( 3): 291-313.[citado 2024 jun. 12 ] Available from: https://doi.org/10.1007/s40964-019-00075-9

  • Artigo de periodico

    Estimators of parameters of a mixture of three multinomial distributions based on simple majority results (2019)

    Morais, Ricardo Saldanha de; Quinino, Roberto da Costa ; Suyama, Emilio; Ho, Linda Lee

    Source: Statistical Papers. Unidade: EP

    Subjects: ESTIMAÇÃO PARAMÉTRICA, PROCESSOS DE FABRICAÇÃO

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      MORAIS, Ricardo Saldanha de et al. Estimators of parameters of a mixture of three multinomial distributions based on simple majority results. Statistical Papers, v. 60, n. 4, p. 1283–1316, 2019Tradução . . Disponível em: https://doi.org/10.1007/s00362-017-0875-y. Acesso em: 12 jun. 2024.

    • APA

      Morais, R. S. de, Quinino, R. da C., Suyama, E., & Ho, L. L. (2019). Estimators of parameters of a mixture of three multinomial distributions based on simple majority results. Statistical Papers, 60( 4), 1283–1316. doi:10.1007/s00362-017-0875-y

    • NLM

      Morais RS de, Quinino R da C, Suyama E, Ho LL. Estimators of parameters of a mixture of three multinomial distributions based on simple majority results [Internet]. Statistical Papers. 2019 ; 60( 4): 1283–1316.[citado 2024 jun. 12 ] Available from: https://doi.org/10.1007/s00362-017-0875-y

    • Vancouver

      Morais RS de, Quinino R da C, Suyama E, Ho LL. Estimators of parameters of a mixture of three multinomial distributions based on simple majority results [Internet]. Statistical Papers. 2019 ; 60( 4): 1283–1316.[citado 2024 jun. 12 ] Available from: https://doi.org/10.1007/s00362-017-0875-y

  • Artigo de periodico

    Multivariate control charts to monitor the monthly frequency of vehicle robberies in São Paulo city (2019)

    Moala, Adriano Buran; Ho, Linda Lee ; Quinino, Roberto da Costa

    Source: Spatial Statistics. Unidade: EP

    Subjects: GRÁFICOS, ROUBO, VEÍCULOS

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      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: 12 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. 12 ] 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. 12 ] Available from: https://doi.org/10.1016/j.spasta.2018.09.002

  • Artigo de periodico

    About Shewhart control charts to monitor the Weibull mean (2019)

    Fernandes, Fidel Henrique ; Ho, Linda Lee ; Pereira, Marcelo Bourguignon

    Source: Quality and Reliability Engineering International. Unidade: EP

    Subjects: DISTRIBUIÇÕES (PROBABILIDADE), GRÁFICOS, SIMULAÇÃO (ESTATÍSTICA)

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      FERNANDES, Fidel Henrique e HO, Linda Lee e PEREIRA, Marcelo Bourguignon. About Shewhart control charts to monitor the Weibull mean. Quality and Reliability Engineering International, v. No 2019, n. 7, p. 2343-2357, 2019Tradução . . Disponível em: https://doi.org/10.1002/qre.2515. Acesso em: 12 jun. 2024.

    • APA

      Fernandes, F. H., Ho, L. L., & Pereira, M. B. (2019). About Shewhart control charts to monitor the Weibull mean. Quality and Reliability Engineering International, No 2019( 7), 2343-2357. doi:10.1002/qre.2515

    • NLM

      Fernandes FH, Ho LL, Pereira MB. About Shewhart control charts to monitor the Weibull mean [Internet]. Quality and Reliability Engineering International. 2019 ; No 2019( 7): 2343-2357.[citado 2024 jun. 12 ] Available from: https://doi.org/10.1002/qre.2515

    • Vancouver

      Fernandes FH, Ho LL, Pereira MB. About Shewhart control charts to monitor the Weibull mean [Internet]. Quality and Reliability Engineering International. 2019 ; No 2019( 7): 2343-2357.[citado 2024 jun. 12 ] Available from: https://doi.org/10.1002/qre.2515

  • Dissertação (Mestrado)

    Control chart for monitoring the ratio of two Poisson rates (2019)

    Yamauchi, Tsubasa; Ho, Linda Lee (Orientador)

    Unidade: EP

    Subjects: GRÁFICOS, MÉTODO DE MONTE CARLO

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      YAMAUCHI, Tsubasa. Control chart for monitoring the ratio of two Poisson rates. 2019. Dissertação (Mestrado) – Universidade de São Paulo, São Paulo, 2019. Disponível em: https://teses.usp.br/teses/disponiveis/3/3136/tde-21112019-114542/. Acesso em: 12 jun. 2024.

    • APA

      Yamauchi, T. (2019). Control chart for monitoring the ratio of two Poisson rates (Dissertação (Mestrado). Universidade de São Paulo, São Paulo. Recuperado de https://teses.usp.br/teses/disponiveis/3/3136/tde-21112019-114542/

    • NLM

      Yamauchi T. Control chart for monitoring the ratio of two Poisson rates [Internet]. 2019 ;[citado 2024 jun. 12 ] Available from: https://teses.usp.br/teses/disponiveis/3/3136/tde-21112019-114542/

    • Vancouver

      Yamauchi T. Control chart for monitoring the ratio of two Poisson rates [Internet]. 2019 ;[citado 2024 jun. 12 ] Available from: https://teses.usp.br/teses/disponiveis/3/3136/tde-21112019-114542/

  • Artigo de periodico

    Control charts to monitor rates and proportions (2019)

    Ho, Linda Lee ; Fernandes, Fidel Henrique ; Pereira, Marcelo Bourguignon

    Source: Quality and Reliability Engineering International. Unidade: EP

    Subjects: GRÁFICOS, DISTRIBUIÇÕES (PROBABILIDADE)

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      HO, Linda Lee e FERNANDES, Fidel Henrique e PEREIRA, Marcelo Bourguignon. Control charts to monitor rates and proportions. Quality and Reliability Engineering International, v. 35, n. 1, p. 74-83, 2019Tradução . . Disponível em: https://doi.org/10.1002/qre.2381. Acesso em: 12 jun. 2024.

    • APA

      Ho, L. L., Fernandes, F. H., & Pereira, M. B. (2019). Control charts to monitor rates and proportions. Quality and Reliability Engineering International, 35( 1), 74-83. doi:10.1002/qre.2381

    • NLM

      Ho LL, Fernandes FH, Pereira MB. Control charts to monitor rates and proportions [Internet]. Quality and Reliability Engineering International. 2019 ; 35( 1): 74-83.[citado 2024 jun. 12 ] Available from: https://doi.org/10.1002/qre.2381

    • Vancouver

      Ho LL, Fernandes FH, Pereira MB. Control charts to monitor rates and proportions [Internet]. Quality and Reliability Engineering International. 2019 ; 35( 1): 74-83.[citado 2024 jun. 12 ] Available from: https://doi.org/10.1002/qre.2381

  • Artigo de periodico

    Generalized autoregressive and moving average models: multicollinearity, interpretation and a new modified model (2019)

    Esparza Albarracin, Orlando Yesid ; Alencar, Airlane Pereira ; Ho, Linda Lee

    Source: Journal of Statistical Computation and Simulation. Unidades: IME, EP

    Subjects: ANALISE DE SÉRIES TEMPORAIS, ANALISE DE REGRESSÃO E DE CORRELAÇÃO

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      ESPARZA ALBARRACIN, Orlando Yesid e ALENCAR, Airlane Pereira e HO, Linda Lee. Generalized autoregressive and moving average models: multicollinearity, interpretation and a new modified model. Journal of Statistical Computation and Simulation, v. 89, n. 10, p. 1819-1840, 2019Tradução . . Disponível em: https://doi.org/10.1080/00949655.2019.1599892. Acesso em: 12 jun. 2024.

    • APA

      Esparza Albarracin, O. Y., Alencar, A. P., & Ho, L. L. (2019). Generalized autoregressive and moving average models: multicollinearity, interpretation and a new modified model. Journal of Statistical Computation and Simulation, 89( 10), 1819-1840. doi:10.1080/00949655.2019.1599892

    • NLM

      Esparza Albarracin OY, Alencar AP, Ho LL. Generalized autoregressive and moving average models: multicollinearity, interpretation and a new modified model [Internet]. Journal of Statistical Computation and Simulation. 2019 ; 89( 10): 1819-1840.[citado 2024 jun. 12 ] Available from: https://doi.org/10.1080/00949655.2019.1599892

    • Vancouver

      Esparza Albarracin OY, Alencar AP, Ho LL. Generalized autoregressive and moving average models: multicollinearity, interpretation and a new modified model [Internet]. Journal of Statistical Computation and Simulation. 2019 ; 89( 10): 1819-1840.[citado 2024 jun. 12 ] Available from: https://doi.org/10.1080/00949655.2019.1599892

  • Artigo de periodico

    Use of regression trees to predict overweight trucks from historical weigh-in-motion data (2019)

    Bosso, Mariana; Vasconcelos, Kamilla ; Ho, Linda Lee ; Bernucci, Liedi Légi Bariani

    Source: Journal of Traffic and Transportation Engineering (English Edition). Unidade: EP

    Subjects: TRÁFEGO RODOVIÁRIO, PAVIMENTAÇÃO ASFÁLTICA

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    • ABNT

      BOSSO, Mariana et al. Use of regression trees to predict overweight trucks from historical weigh-in-motion data. Journal of Traffic and Transportation Engineering (English Edition), 2019Tradução . . Disponível em: https://doi.org/10.1016/j.jtte.2018.07.004. Acesso em: 12 jun. 2024.

    • APA

      Bosso, M., Vasconcelos, K., Ho, L. L., & Bernucci, L. L. B. (2019). Use of regression trees to predict overweight trucks from historical weigh-in-motion data. Journal of Traffic and Transportation Engineering (English Edition). doi:10.1016/j.jtte.2018.07.004

    • NLM

      Bosso M, Vasconcelos K, Ho LL, Bernucci LLB. Use of regression trees to predict overweight trucks from historical weigh-in-motion data [Internet]. Journal of Traffic and Transportation Engineering (English Edition). 2019 ;[citado 2024 jun. 12 ] Available from: https://doi.org/10.1016/j.jtte.2018.07.004

    • Vancouver

      Bosso M, Vasconcelos K, Ho LL, Bernucci LLB. Use of regression trees to predict overweight trucks from historical weigh-in-motion data [Internet]. Journal of Traffic and Transportation Engineering (English Edition). 2019 ;[citado 2024 jun. 12 ] Available from: https://doi.org/10.1016/j.jtte.2018.07.004

  • Artigo de periodico

    GS²: an optimized attribute control chart to monitor process variability (2018)

    Bezerra, Erica Leandro; Ho, Linda Lee ; Quinino, Roberto da Costa

    Source: International Journal of Production Economics. Unidade: EP

    Subjects: GRÁFICOS, ALGORITMOS GENÉTICOS

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      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: 12 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. 12 ] 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. 12 ] Available from: https://doi.org/10.1016/j.ijpe.2017.10.023

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