Filtros : "Chemometrics and Intelligent Laboratory Systems" Limpar

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  • Source: Chemometrics and Intelligent Laboratory Systems. Unidade: FCF

    Subjects: ENDOTOXINAS, MEDICAMENTO

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      COUTO, Aldo Renato e PASSARIN, Paula Beatriz Silva e LOURENÇO, Felipe Rebello. Risk of false conformity decisions in LAL gel-clot test due to false-negative results. Chemometrics and Intelligent Laboratory Systems, v. 234, p. 1-6 art. 104760, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.chemolab.2023.104760. Acesso em: 03 jun. 2024.
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      Couto, A. R., Passarin, P. B. S., & Lourenço, F. R. (2023). Risk of false conformity decisions in LAL gel-clot test due to false-negative results. Chemometrics and Intelligent Laboratory Systems, 234, 1-6 art. 104760. doi:10.1016/j.chemolab.2023.104760
    • NLM

      Couto AR, Passarin PBS, Lourenço FR. Risk of false conformity decisions in LAL gel-clot test due to false-negative results [Internet]. Chemometrics and Intelligent Laboratory Systems. 2023 ; 234 1-6 art. 104760.[citado 2024 jun. 03 ] Available from: https://doi.org/10.1016/j.chemolab.2023.104760
    • Vancouver

      Couto AR, Passarin PBS, Lourenço FR. Risk of false conformity decisions in LAL gel-clot test due to false-negative results [Internet]. Chemometrics and Intelligent Laboratory Systems. 2023 ; 234 1-6 art. 104760.[citado 2024 jun. 03 ] Available from: https://doi.org/10.1016/j.chemolab.2023.104760
  • Source: Chemometrics and Intelligent Laboratory Systems. Unidade: ICMC

    Subjects: VEROSSIMILHANÇA, ESTATÍSTICA SUFICIENTE, INFERÊNCIA ESTATÍSTICA

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      GALEA ROJAS, Manuel Jesus e CASTRO, Mário de. Conditional likelihood inference in a heteroscedastic functional measurement error model. Chemometrics and Intelligent Laboratory Systems, v. 243, p. 1-6, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.chemolab.2023.105005. Acesso em: 03 jun. 2024.
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      Galea Rojas, M. J., & Castro, M. de. (2023). Conditional likelihood inference in a heteroscedastic functional measurement error model. Chemometrics and Intelligent Laboratory Systems, 243, 1-6. doi:10.1016/j.chemolab.2023.105005
    • NLM

      Galea Rojas MJ, Castro M de. Conditional likelihood inference in a heteroscedastic functional measurement error model [Internet]. Chemometrics and Intelligent Laboratory Systems. 2023 ; 243 1-6.[citado 2024 jun. 03 ] Available from: https://doi.org/10.1016/j.chemolab.2023.105005
    • Vancouver

      Galea Rojas MJ, Castro M de. Conditional likelihood inference in a heteroscedastic functional measurement error model [Internet]. Chemometrics and Intelligent Laboratory Systems. 2023 ; 243 1-6.[citado 2024 jun. 03 ] Available from: https://doi.org/10.1016/j.chemolab.2023.105005
  • Source: Chemometrics and Intelligent Laboratory Systems. Unidade: FCF

    Assunto: FÁRMACOS

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      CAFFARO, Arthur Massabki e LOURENÇO, Felipe Rebello. Total combined global risk assessment applied to pharmaceutical equivalence –a case study of ofloxacin medicines. Chemometrics and Intelligent Laboratory Systems, v. 241, p. 1-9 art. 104935, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.chemolab.2023.104935. Acesso em: 03 jun. 2024.
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      Caffaro, A. M., & Lourenço, F. R. (2023). Total combined global risk assessment applied to pharmaceutical equivalence –a case study of ofloxacin medicines. Chemometrics and Intelligent Laboratory Systems, 241, 1-9 art. 104935. doi:10.1016/j.chemolab.2023.104935
    • NLM

      Caffaro AM, Lourenço FR. Total combined global risk assessment applied to pharmaceutical equivalence –a case study of ofloxacin medicines [Internet]. Chemometrics and Intelligent Laboratory Systems. 2023 ; 241 1-9 art. 104935.[citado 2024 jun. 03 ] Available from: https://doi.org/10.1016/j.chemolab.2023.104935
    • Vancouver

      Caffaro AM, Lourenço FR. Total combined global risk assessment applied to pharmaceutical equivalence –a case study of ofloxacin medicines [Internet]. Chemometrics and Intelligent Laboratory Systems. 2023 ; 241 1-9 art. 104935.[citado 2024 jun. 03 ] Available from: https://doi.org/10.1016/j.chemolab.2023.104935
  • Source: Chemometrics and Intelligent Laboratory Systems. Unidade: FCF

    Subjects: MEDICAMENTO, ESTABILIDADE, MEDIÇÃO DE RISCO, MÉTODO DE MONTE CARLO

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      COUTO, Aldo Renato e LOURENÇO, Felipe Rebello. Definition of medicine shelf-life based on the assessment of the total risk of false conformity decisions due to measurement uncertainty: a multiparameter approach. Chemometrics and Intelligent Laboratory Systems, v. 229, p. 1-12, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.chemolab.2022.104649. Acesso em: 03 jun. 2024.
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      Couto, A. R., & Lourenço, F. R. (2022). Definition of medicine shelf-life based on the assessment of the total risk of false conformity decisions due to measurement uncertainty: a multiparameter approach. Chemometrics and Intelligent Laboratory Systems, 229, 1-12. doi:10.1016/j.chemolab.2022.104649
    • NLM

      Couto AR, Lourenço FR. Definition of medicine shelf-life based on the assessment of the total risk of false conformity decisions due to measurement uncertainty: a multiparameter approach [Internet]. Chemometrics and Intelligent Laboratory Systems. 2022 ; 229 1-12.[citado 2024 jun. 03 ] Available from: https://doi.org/10.1016/j.chemolab.2022.104649
    • Vancouver

      Couto AR, Lourenço FR. Definition of medicine shelf-life based on the assessment of the total risk of false conformity decisions due to measurement uncertainty: a multiparameter approach [Internet]. Chemometrics and Intelligent Laboratory Systems. 2022 ; 229 1-12.[citado 2024 jun. 03 ] Available from: https://doi.org/10.1016/j.chemolab.2022.104649
  • Source: Chemometrics and Intelligent Laboratory Systems. Unidades: IFSC, EESC

    Subjects: SENSOR, SENSORES QUÍMICOS, NANOCOMPOSITOS, SEMICONDUTORES

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      LIMA, Bruno Sanches de et al. Gas sensors data analysis system: a user-friendly interface for fast and reliable response-recovery analysis. Chemometrics and Intelligent Laboratory Systems, v. 220, n. Ja 2022, p. 104460-1-104460-7, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.chemolab.2021.104460. Acesso em: 03 jun. 2024.
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      Lima, B. S. de, Silva, W. A. dos S., Ndiaye, A. L., Mastelaro, V. R., & Brunet, J. (2022). Gas sensors data analysis system: a user-friendly interface for fast and reliable response-recovery analysis. Chemometrics and Intelligent Laboratory Systems, 220( Ja 2022), 104460-1-104460-7. doi:10.1016/j.chemolab.2021.104460
    • NLM

      Lima BS de, Silva WA dos S, Ndiaye AL, Mastelaro VR, Brunet J. Gas sensors data analysis system: a user-friendly interface for fast and reliable response-recovery analysis [Internet]. Chemometrics and Intelligent Laboratory Systems. 2022 ; 220( Ja 2022): 104460-1-104460-7.[citado 2024 jun. 03 ] Available from: https://doi.org/10.1016/j.chemolab.2021.104460
    • Vancouver

      Lima BS de, Silva WA dos S, Ndiaye AL, Mastelaro VR, Brunet J. Gas sensors data analysis system: a user-friendly interface for fast and reliable response-recovery analysis [Internet]. Chemometrics and Intelligent Laboratory Systems. 2022 ; 220( Ja 2022): 104460-1-104460-7.[citado 2024 jun. 03 ] Available from: https://doi.org/10.1016/j.chemolab.2021.104460
  • Source: Chemometrics and Intelligent Laboratory Systems. Unidade: FFCLRP

    Subjects: COMPOSTOS ORGÂNICOS, ANFETAMINAS, QUIMIOMETRIA

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      RODRIGUES, Caio Henrique Pinke e LEITE, Vitor B. P. e BRUNI, Aline Thaís. Can NMR spectroscopy discriminate between NPS amphetamines and cathinones ?: evaluation by in silico studies and chemometrics. Chemometrics and Intelligent Laboratory Systems, v. 210, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.chemolab.2021.104265. Acesso em: 03 jun. 2024.
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      Rodrigues, C. H. P., Leite, V. B. P., & Bruni, A. T. (2021). Can NMR spectroscopy discriminate between NPS amphetamines and cathinones ?: evaluation by in silico studies and chemometrics. Chemometrics and Intelligent Laboratory Systems, 210. doi:10.1016/j.chemolab.2021.104265
    • NLM

      Rodrigues CHP, Leite VBP, Bruni AT. Can NMR spectroscopy discriminate between NPS amphetamines and cathinones ?: evaluation by in silico studies and chemometrics [Internet]. Chemometrics and Intelligent Laboratory Systems. 2021 ; 210[citado 2024 jun. 03 ] Available from: https://doi.org/10.1016/j.chemolab.2021.104265
    • Vancouver

      Rodrigues CHP, Leite VBP, Bruni AT. Can NMR spectroscopy discriminate between NPS amphetamines and cathinones ?: evaluation by in silico studies and chemometrics [Internet]. Chemometrics and Intelligent Laboratory Systems. 2021 ; 210[citado 2024 jun. 03 ] Available from: https://doi.org/10.1016/j.chemolab.2021.104265
  • Source: Chemometrics and Intelligent Laboratory Systems. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, ANÁLISE DO SOLO, ESPECTROSCOPIA

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      SANTANA, Everton José et al. Improved prediction of soil properties with multi-target stacked generalisation on EDXRF spectra. Chemometrics and Intelligent Laboratory Systems, v. 209, p. 1-12, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.chemolab.2020.104231. Acesso em: 03 jun. 2024.
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      Santana, E. J., Santos, F. R. dos, Mastelini, S. M., Melquiades, F. L., & Barbon Júnior, S. (2021). Improved prediction of soil properties with multi-target stacked generalisation on EDXRF spectra. Chemometrics and Intelligent Laboratory Systems, 209, 1-12. doi:10.1016/j.chemolab.2020.104231
    • NLM

      Santana EJ, Santos FR dos, Mastelini SM, Melquiades FL, Barbon Júnior S. Improved prediction of soil properties with multi-target stacked generalisation on EDXRF spectra [Internet]. Chemometrics and Intelligent Laboratory Systems. 2021 ; 209 1-12.[citado 2024 jun. 03 ] Available from: https://doi.org/10.1016/j.chemolab.2020.104231
    • Vancouver

      Santana EJ, Santos FR dos, Mastelini SM, Melquiades FL, Barbon Júnior S. Improved prediction of soil properties with multi-target stacked generalisation on EDXRF spectra [Internet]. Chemometrics and Intelligent Laboratory Systems. 2021 ; 209 1-12.[citado 2024 jun. 03 ] Available from: https://doi.org/10.1016/j.chemolab.2020.104231
  • Source: Chemometrics and Intelligent Laboratory Systems. Unidade: FCF

    Assunto: ESTERILIDADE

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      SILVA, Sara Bertoletti da e LOURENÇO, Felipe Rebello. Risk of false compliance/non-compliance decisions for sterility test due to false-negative and false-positive test results. Chemometrics and Intelligent Laboratory Systems, v. 200, p. 1-6 art. 104005, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.chemolab.2020.104005. Acesso em: 03 jun. 2024.
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      Silva, S. B. da, & Lourenço, F. R. (2020). Risk of false compliance/non-compliance decisions for sterility test due to false-negative and false-positive test results. Chemometrics and Intelligent Laboratory Systems, 200, 1-6 art. 104005. doi:10.1016/j.chemolab.2020.104005
    • NLM

      Silva SB da, Lourenço FR. Risk of false compliance/non-compliance decisions for sterility test due to false-negative and false-positive test results [Internet]. Chemometrics and Intelligent Laboratory Systems. 2020 ; 200 1-6 art. 104005.[citado 2024 jun. 03 ] Available from: https://doi.org/10.1016/j.chemolab.2020.104005
    • Vancouver

      Silva SB da, Lourenço FR. Risk of false compliance/non-compliance decisions for sterility test due to false-negative and false-positive test results [Internet]. Chemometrics and Intelligent Laboratory Systems. 2020 ; 200 1-6 art. 104005.[citado 2024 jun. 03 ] Available from: https://doi.org/10.1016/j.chemolab.2020.104005
  • Source: Chemometrics and Intelligent Laboratory Systems. Unidade: FCF

    Subjects: BANCO DE DADOS, RISCO

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      SILVA, Ricardo Jorge Neves Bettencourt da et al. Spreadsheet for evaluation of global risks in conformity assessment of a multicomponent material or object. Chemometrics and Intelligent Laboratory Systems, v. 188, p. 1-5, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.chemolab.2019.02.010. Acesso em: 03 jun. 2024.
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      Silva, R. J. N. B. da, Lourenço, F. R., Pennecchi, F. R., Hibbert, D. B., & Kuselman, Y. (2019). Spreadsheet for evaluation of global risks in conformity assessment of a multicomponent material or object. Chemometrics and Intelligent Laboratory Systems, 188, 1-5. doi:10.1016/j.chemolab.2019.02.010
    • NLM

      Silva RJNB da, Lourenço FR, Pennecchi FR, Hibbert DB, Kuselman Y. Spreadsheet for evaluation of global risks in conformity assessment of a multicomponent material or object [Internet]. Chemometrics and Intelligent Laboratory Systems. 2019 ; 188 1-5.[citado 2024 jun. 03 ] Available from: https://doi.org/10.1016/j.chemolab.2019.02.010
    • Vancouver

      Silva RJNB da, Lourenço FR, Pennecchi FR, Hibbert DB, Kuselman Y. Spreadsheet for evaluation of global risks in conformity assessment of a multicomponent material or object [Internet]. Chemometrics and Intelligent Laboratory Systems. 2019 ; 188 1-5.[citado 2024 jun. 03 ] Available from: https://doi.org/10.1016/j.chemolab.2019.02.010
  • Source: Chemometrics and Intelligent Laboratory Systems. Unidade: FCF

    Subjects: MEDIÇÃO DE RISCO, QUIMIOMETRIA

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      SEPAROVIC, Luciana e SILVA, Ricardo J.N. Bettencourt da e LOURENÇO, Felipe Rebello. Improved spreadsheet method for determination of between components metrological correlation due to the sharing of analytical steps. Chemometrics and Intelligent Laboratory Systems, v. 189, p. 161-168, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.chemolab.2019.05.002. Acesso em: 03 jun. 2024.
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      Separovic, L., Silva, R. J. N. B. da, & Lourenço, F. R. (2019). Improved spreadsheet method for determination of between components metrological correlation due to the sharing of analytical steps. Chemometrics and Intelligent Laboratory Systems, 189, 161-168. doi:10.1016/j.chemolab.2019.05.002
    • NLM

      Separovic L, Silva RJNB da, Lourenço FR. Improved spreadsheet method for determination of between components metrological correlation due to the sharing of analytical steps [Internet]. Chemometrics and Intelligent Laboratory Systems. 2019 ; 189 161-168.[citado 2024 jun. 03 ] Available from: https://doi.org/10.1016/j.chemolab.2019.05.002
    • Vancouver

      Separovic L, Silva RJNB da, Lourenço FR. Improved spreadsheet method for determination of between components metrological correlation due to the sharing of analytical steps [Internet]. Chemometrics and Intelligent Laboratory Systems. 2019 ; 189 161-168.[citado 2024 jun. 03 ] Available from: https://doi.org/10.1016/j.chemolab.2019.05.002
  • Source: Chemometrics and Intelligent Laboratory Systems. Unidade: ICMC

    Subjects: INFERÊNCIA BAYESIANA, ESTATÍSTICA APLICADA, INFERÊNCIA ESTATÍSTICA

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      TOMAYA, Lorena Cáceres e CASTRO, Mário de. New estimation methods for the Grubbs model. Chemometrics and Intelligent Laboratory Systems, v. 176, p. 119-125, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.chemolab.2018.03.009. Acesso em: 03 jun. 2024.
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      Tomaya, L. C., & Castro, M. de. (2018). New estimation methods for the Grubbs model. Chemometrics and Intelligent Laboratory Systems, 176, 119-125. doi:10.1016/j.chemolab.2018.03.009
    • NLM

      Tomaya LC, Castro M de. New estimation methods for the Grubbs model [Internet]. Chemometrics and Intelligent Laboratory Systems. 2018 ; 176 119-125.[citado 2024 jun. 03 ] Available from: https://doi.org/10.1016/j.chemolab.2018.03.009
    • Vancouver

      Tomaya LC, Castro M de. New estimation methods for the Grubbs model [Internet]. Chemometrics and Intelligent Laboratory Systems. 2018 ; 176 119-125.[citado 2024 jun. 03 ] Available from: https://doi.org/10.1016/j.chemolab.2018.03.009
  • Source: Chemometrics and Intelligent Laboratory Systems. Unidade: EP

    Subjects: DEPÓSITOS MINERAIS, OURO, AMOSTRAGEM DE MINERAIS

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      VILLANOVA, Fernando Lucas dos Santos Peixoto de e CHIEREGATI, Ana Carolina. The use of equant grain particles to validate analytical sample size in gold deposits: a case study. Chemometrics and Intelligent Laboratory Systems, v. 181, p. 36-44, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.chemolab.2018.08.009. Acesso em: 03 jun. 2024.
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      Villanova, F. L. dos S. P. de, & Chieregati, A. C. (2018). The use of equant grain particles to validate analytical sample size in gold deposits: a case study. Chemometrics and Intelligent Laboratory Systems, 181, 36-44. doi:10.1016/j.chemolab.2018.08.009
    • NLM

      Villanova FL dos SP de, Chieregati AC. The use of equant grain particles to validate analytical sample size in gold deposits: a case study [Internet]. Chemometrics and Intelligent Laboratory Systems. 2018 ; 181 36-44.[citado 2024 jun. 03 ] Available from: https://doi.org/10.1016/j.chemolab.2018.08.009
    • Vancouver

      Villanova FL dos SP de, Chieregati AC. The use of equant grain particles to validate analytical sample size in gold deposits: a case study [Internet]. Chemometrics and Intelligent Laboratory Systems. 2018 ; 181 36-44.[citado 2024 jun. 03 ] Available from: https://doi.org/10.1016/j.chemolab.2018.08.009
  • Source: Chemometrics and Intelligent Laboratory Systems. Unidade: IQ

    Subjects: RELAÇÕES QUANTITATIVAS ENTRE ESTRUTURA QUÍMICA E ATIVIDADE BIOLÓGICA, ANTIPARASITÁRIOS

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      SCOTTI, Marcus Tullius et al. Variable-selection approaches to generate QSAR models for a set of antichagasic semicarbazones and analogues. Chemometrics and Intelligent Laboratory Systems, v. 154, p. 137-149, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.chemolab.2016.03.023. Acesso em: 03 jun. 2024.
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      Scotti, M. T., Scotti, L., Ishiki, H. M., Peron, L. M. de, Rezende, L. de, & Amaral, A. T. do. (2016). Variable-selection approaches to generate QSAR models for a set of antichagasic semicarbazones and analogues. Chemometrics and Intelligent Laboratory Systems, 154, 137-149. doi:10.1016/j.chemolab.2016.03.023
    • NLM

      Scotti MT, Scotti L, Ishiki HM, Peron LM de, Rezende L de, Amaral AT do. Variable-selection approaches to generate QSAR models for a set of antichagasic semicarbazones and analogues [Internet]. Chemometrics and Intelligent Laboratory Systems. 2016 ; 154 137-149.[citado 2024 jun. 03 ] Available from: https://doi.org/10.1016/j.chemolab.2016.03.023
    • Vancouver

      Scotti MT, Scotti L, Ishiki HM, Peron LM de, Rezende L de, Amaral AT do. Variable-selection approaches to generate QSAR models for a set of antichagasic semicarbazones and analogues [Internet]. Chemometrics and Intelligent Laboratory Systems. 2016 ; 154 137-149.[citado 2024 jun. 03 ] Available from: https://doi.org/10.1016/j.chemolab.2016.03.023
  • Source: Chemometrics and Intelligent Laboratory Systems. Unidade: IME

    Assunto: INFERÊNCIA ESTATÍSTICA

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      BLAS, Betsabé e BOLFARINE, Heleno e LACHOS, Victor Hugo. Heavy tailed calibration model with Berkson measurement errors for replicated data. Chemometrics and Intelligent Laboratory Systems, v. 156, p. 21-35, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.chemolab.2016.04.014. Acesso em: 03 jun. 2024.
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      Blas, B., Bolfarine, H., & Lachos, V. H. (2016). Heavy tailed calibration model with Berkson measurement errors for replicated data. Chemometrics and Intelligent Laboratory Systems, 156, 21-35. doi:10.1016/j.chemolab.2016.04.014
    • NLM

      Blas B, Bolfarine H, Lachos VH. Heavy tailed calibration model with Berkson measurement errors for replicated data [Internet]. Chemometrics and Intelligent Laboratory Systems. 2016 ; 156 21-35.[citado 2024 jun. 03 ] Available from: https://doi.org/10.1016/j.chemolab.2016.04.014
    • Vancouver

      Blas B, Bolfarine H, Lachos VH. Heavy tailed calibration model with Berkson measurement errors for replicated data [Internet]. Chemometrics and Intelligent Laboratory Systems. 2016 ; 156 21-35.[citado 2024 jun. 03 ] Available from: https://doi.org/10.1016/j.chemolab.2016.04.014
  • Source: Chemometrics and Intelligent Laboratory Systems. Unidade: IME

    Subjects: SISTEMAS DE CONTROLE, TEORIA DA CONFIABILIDADE

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      SINGER, Júlio da Motta et al. To triplicate or not to triplicate?. Chemometrics and Intelligent Laboratory Systems, v. 86, n. 1, p. 82-85, 2007Tradução . . Disponível em: https://doi.org/10.1016/j.chemolab.2006.08.008. Acesso em: 03 jun. 2024.
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      Singer, J. da M., Lima, A. C. P. de, Tanaka, N. I., & González-López, V. A. (2007). To triplicate or not to triplicate? Chemometrics and Intelligent Laboratory Systems, 86( 1), 82-85. doi:10.1016/j.chemolab.2006.08.008
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      Singer J da M, Lima ACP de, Tanaka NI, González-López VA. To triplicate or not to triplicate? [Internet]. Chemometrics and Intelligent Laboratory Systems. 2007 ; 86( 1): 82-85.[citado 2024 jun. 03 ] Available from: https://doi.org/10.1016/j.chemolab.2006.08.008
    • Vancouver

      Singer J da M, Lima ACP de, Tanaka NI, González-López VA. To triplicate or not to triplicate? [Internet]. Chemometrics and Intelligent Laboratory Systems. 2007 ; 86( 1): 82-85.[citado 2024 jun. 03 ] Available from: https://doi.org/10.1016/j.chemolab.2006.08.008
  • Source: Chemometrics and Intelligent Laboratory Systems. Unidades: ICMC, IME

    Subjects: ESTATÍSTICA APLICADA, REGRESSÃO LINEAR, TEORIA ANALÍTICA DOS NÚMEROS, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO

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      CASTRO, Mário de et al. Local influence in regression for the detection of analytical bias. Chemometrics and Intelligent Laboratory Systems, v. 83, n. 2, p. 139-147, 2006Tradução . . Disponível em: https://doi.org/10.1016/j.chemolab.2006.02.005. Acesso em: 03 jun. 2024.
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      Castro, M. de, Galea Rojas, M. J., Bolfarine, H., & Castilho, M. V. de. (2006). Local influence in regression for the detection of analytical bias. Chemometrics and Intelligent Laboratory Systems, 83( 2), 139-147. doi:10.1016/j.chemolab.2006.02.005
    • NLM

      Castro M de, Galea Rojas MJ, Bolfarine H, Castilho MV de. Local influence in regression for the detection of analytical bias [Internet]. Chemometrics and Intelligent Laboratory Systems. 2006 ; 83( 2): 139-147.[citado 2024 jun. 03 ] Available from: https://doi.org/10.1016/j.chemolab.2006.02.005
    • Vancouver

      Castro M de, Galea Rojas MJ, Bolfarine H, Castilho MV de. Local influence in regression for the detection of analytical bias [Internet]. Chemometrics and Intelligent Laboratory Systems. 2006 ; 83( 2): 139-147.[citado 2024 jun. 03 ] Available from: https://doi.org/10.1016/j.chemolab.2006.02.005
  • Source: Chemometrics and Intelligent Laboratory Systems. Unidade: IQ

    Subjects: VOLTAMETRIA, QUÍMICA, QUIMIOMETRIA

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      BORTOLOTI, João Alexandre et al. Split-plot design optimization for trace determination of lead by anodic stripping voltammetry in a homogeneous ternary solvent system. Chemometrics and Intelligent Laboratory Systems, v. 70, n. 2, p. 113-121, 2004Tradução . . Disponível em: https://doi.org/10.1016/j.chemolab.2003.09.004. Acesso em: 03 jun. 2024.
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      Bortoloti, J. A., Bruns, R. E., Andrade, J. C. de, & Vieira , R. K. (2004). Split-plot design optimization for trace determination of lead by anodic stripping voltammetry in a homogeneous ternary solvent system. Chemometrics and Intelligent Laboratory Systems, 70( 2), 113-121. doi:10.1016/j.chemolab.2003.09.004
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      Bortoloti JA, Bruns RE, Andrade JC de, Vieira RK. Split-plot design optimization for trace determination of lead by anodic stripping voltammetry in a homogeneous ternary solvent system [Internet]. Chemometrics and Intelligent Laboratory Systems. 2004 ; 70( 2): 113-121.[citado 2024 jun. 03 ] Available from: https://doi.org/10.1016/j.chemolab.2003.09.004
    • Vancouver

      Bortoloti JA, Bruns RE, Andrade JC de, Vieira RK. Split-plot design optimization for trace determination of lead by anodic stripping voltammetry in a homogeneous ternary solvent system [Internet]. Chemometrics and Intelligent Laboratory Systems. 2004 ; 70( 2): 113-121.[citado 2024 jun. 03 ] Available from: https://doi.org/10.1016/j.chemolab.2003.09.004
  • Source: Chemometrics and Intelligent Laboratory Systems. Unidade: IQ

    Subjects: ESTEROIDES, CARBONO, QUÍMICA ORGÂNICA

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      MILITÃO, Júlio Sancho Linhares Teixeira et al. Structure validation in computer-supported structure elucidation: 'ANTPOT. 13 C' NMR shift predictions for steroids. Chemometrics and Intelligent Laboratory Systems, v. 67, n. 1, p. 5-20, 2003Tradução . . Acesso em: 03 jun. 2024.
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      Militão, J. S. L. T., Emerenciano, V. de P., Ferreira, M. J. P., Cabrol-Bass, D., & Rouillard, M. (2003). Structure validation in computer-supported structure elucidation: 'ANTPOT. 13 C' NMR shift predictions for steroids. Chemometrics and Intelligent Laboratory Systems, 67( 1), 5-20.
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      Militão JSLT, Emerenciano V de P, Ferreira MJP, Cabrol-Bass D, Rouillard M. Structure validation in computer-supported structure elucidation: 'ANTPOT. 13 C' NMR shift predictions for steroids. Chemometrics and Intelligent Laboratory Systems. 2003 ; 67( 1): 5-20.[citado 2024 jun. 03 ]
    • Vancouver

      Militão JSLT, Emerenciano V de P, Ferreira MJP, Cabrol-Bass D, Rouillard M. Structure validation in computer-supported structure elucidation: 'ANTPOT. 13 C' NMR shift predictions for steroids. Chemometrics and Intelligent Laboratory Systems. 2003 ; 67( 1): 5-20.[citado 2024 jun. 03 ]
  • Source: Chemometrics and Intelligent Laboratory Systems. Unidade: ESALQ

    Subjects: AMIDO, MANDIOCA

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      REIS, M. M. e FERREIRA, M. M. C. e SARMENTO, Silene Bruder Silveira. A multi-way analysis of starch cassava properties. Chemometrics and Intelligent Laboratory Systems, v. 64, p. 123-135, 2002Tradução . . Disponível em: https://doi.org/10.1016/s0169-7439(02)00053-9. Acesso em: 03 jun. 2024.
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      Reis, M. M., Ferreira, M. M. C., & Sarmento, S. B. S. (2002). A multi-way analysis of starch cassava properties. Chemometrics and Intelligent Laboratory Systems, 64, 123-135. doi:10.1016/s0169-7439(02)00053-9
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      Reis MM, Ferreira MMC, Sarmento SBS. A multi-way analysis of starch cassava properties [Internet]. Chemometrics and Intelligent Laboratory Systems. 2002 ;64 123-135.[citado 2024 jun. 03 ] Available from: https://doi.org/10.1016/s0169-7439(02)00053-9
    • Vancouver

      Reis MM, Ferreira MMC, Sarmento SBS. A multi-way analysis of starch cassava properties [Internet]. Chemometrics and Intelligent Laboratory Systems. 2002 ;64 123-135.[citado 2024 jun. 03 ] Available from: https://doi.org/10.1016/s0169-7439(02)00053-9
  • Source: Chemometrics and Intelligent Laboratory Systems. Unidade: IQ

    Subjects: QUÍMICA ORGÂNICA, METABÓLITOS

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      ALVARENGA, S. A. V. et al. Chemosystematic studies of natural compounds isolated from Asteraceae: characterization of tribes by principal component analysis. Chemometrics and Intelligent Laboratory Systems, v. 56, n. 1, p. 27-37, 2001Tradução . . Disponível em: https://doi.org/10.1016/s0169-7439(01)00103-4. Acesso em: 03 jun. 2024.
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      Alvarenga, S. A. V., Ferreira, M. J. P., Emerenciano, V. de P., & Cabrol-Bass, D. (2001). Chemosystematic studies of natural compounds isolated from Asteraceae: characterization of tribes by principal component analysis. Chemometrics and Intelligent Laboratory Systems, 56( 1), 27-37. doi:10.1016/s0169-7439(01)00103-4
    • NLM

      Alvarenga SAV, Ferreira MJP, Emerenciano V de P, Cabrol-Bass D. Chemosystematic studies of natural compounds isolated from Asteraceae: characterization of tribes by principal component analysis [Internet]. Chemometrics and Intelligent Laboratory Systems. 2001 ; 56( 1): 27-37.[citado 2024 jun. 03 ] Available from: https://doi.org/10.1016/s0169-7439(01)00103-4
    • Vancouver

      Alvarenga SAV, Ferreira MJP, Emerenciano V de P, Cabrol-Bass D. Chemosystematic studies of natural compounds isolated from Asteraceae: characterization of tribes by principal component analysis [Internet]. Chemometrics and Intelligent Laboratory Systems. 2001 ; 56( 1): 27-37.[citado 2024 jun. 03 ] Available from: https://doi.org/10.1016/s0169-7439(01)00103-4

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