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Artigo de periodico
Acute influence of myofascial self-mobilization using foam roller on muscle strength and flexibility (2023)
Sargentini, Rafael; Sarôa, Elisama Cavalcante Fuzzatti; Paula, Carolina de; Achcar, Jorge Alberto; Falcai, Maurício José; Amaral, André Capaldo
Fonte: International Physical Medicine & Rehabilitation Journal. Unidade: FMRP
Assuntos: FLEXIBILIDADE, FORÇA MUSCULAR, QUADRIL, ATIVIDADE FÍSICA
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ABNT
SARGENTINI, Rafael et al. Acute influence of myofascial self-mobilization using foam roller on muscle strength and flexibility. International Physical Medicine & Rehabilitation Journal, v. 8, n. 2, p. 155-159, 2023Tradução . . Disponível em: https://doi.org/10.15406/ipmrj.2023.08.00352. Acesso em: 01 set. 2024.
APA
Sargentini, R., Sarôa, E. C. F., Paula, C. de, Achcar, J. A., Falcai, M. J., & Amaral, A. C. (2023). Acute influence of myofascial self-mobilization using foam roller on muscle strength and flexibility. International Physical Medicine & Rehabilitation Journal, 8( 2), 155-159. doi:10.15406/ipmrj.2023.08.00352
NLM
Sargentini R, Sarôa ECF, Paula C de, Achcar JA, Falcai MJ, Amaral AC. Acute influence of myofascial self-mobilization using foam roller on muscle strength and flexibility [Internet]. International Physical Medicine & Rehabilitation Journal. 2023 ; 8( 2): 155-159.[citado 2024 set. 01 ] Available from: https://doi.org/10.15406/ipmrj.2023.08.00352
Vancouver
Sargentini R, Sarôa ECF, Paula C de, Achcar JA, Falcai MJ, Amaral AC. Acute influence of myofascial self-mobilization using foam roller on muscle strength and flexibility [Internet]. International Physical Medicine & Rehabilitation Journal. 2023 ; 8( 2): 155-159.[citado 2024 set. 01 ] Available from: https://doi.org/10.15406/ipmrj.2023.08.00352
Artigo de periodico
A non-mixture cure rate model for analyzing the survival lifetimes of cardiovascular heart failure patients (2023)
Oliveira, Ricardo Puziol de; Peres, Marcos Vinicius de Oliveira; Bertoli, Wesley; Achcar, Jorge Alberto
Fonte: Model Assisted Statistics and Applications. Unidade: FMRP
Assuntos: INSUFICIÊNCIA CARDÍACA, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, ANÁLISE DE SOBREVIVÊNCIA
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ABNT
OLIVEIRA, Ricardo Puziol de et al. A non-mixture cure rate model for analyzing the survival lifetimes of cardiovascular heart failure patients. Model Assisted Statistics and Applications, v. 18, p. 45-55, 2023Tradução . . Disponível em: https://doi.org/10.3233/MAS-221341. Acesso em: 01 set. 2024.
APA
Oliveira, R. P. de, Peres, M. V. de O., Bertoli, W., & Achcar, J. A. (2023). A non-mixture cure rate model for analyzing the survival lifetimes of cardiovascular heart failure patients. Model Assisted Statistics and Applications, 18, 45-55. doi:10.3233/MAS-221341
NLM
Oliveira RP de, Peres MV de O, Bertoli W, Achcar JA. A non-mixture cure rate model for analyzing the survival lifetimes of cardiovascular heart failure patients [Internet]. Model Assisted Statistics and Applications. 2023 ; 18 45-55.[citado 2024 set. 01 ] Available from: https://doi.org/10.3233/MAS-221341
Vancouver
Oliveira RP de, Peres MV de O, Bertoli W, Achcar JA. A non-mixture cure rate model for analyzing the survival lifetimes of cardiovascular heart failure patients [Internet]. Model Assisted Statistics and Applications. 2023 ; 18 45-55.[citado 2024 set. 01 ] Available from: https://doi.org/10.3233/MAS-221341
Artigo de periodico
Development of multiparticulate systems based on natural polymers for morin controlled release (2023)
Sales, Luciana Solera; Gimenes, Milena da Silva; Meneguin, Andréia Bagliotti; Barud, Hernane da Silva; Achcar, Jorge Alberto ; Brighenti, Fernanda Lourenção
Fonte: International Journal of Biological Macromolecules. Unidades: IQSC, FMRP
Assuntos: BIOFILMES, POLÍMEROS (QUÍMICA ORGÂNICA), STREPTOCOCCUS MUTANS, POLISSACARÍDEOS BACTERIANOS
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ABNT
SALES, Luciana Solera et al. Development of multiparticulate systems based on natural polymers for morin controlled release. International Journal of Biological Macromolecules, v. 228, p. 1-12, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.ijbiomac.2022.12.146. Acesso em: 01 set. 2024.
APA
Sales, L. S., Gimenes, M. da S., Meneguin, A. B., Barud, H. da S., Achcar, J. A., & Brighenti, F. L. (2023). Development of multiparticulate systems based on natural polymers for morin controlled release. International Journal of Biological Macromolecules, 228, 1-12. doi:10.1016/j.ijbiomac.2022.12.146
NLM
Sales LS, Gimenes M da S, Meneguin AB, Barud H da S, Achcar JA, Brighenti FL. Development of multiparticulate systems based on natural polymers for morin controlled release [Internet]. International Journal of Biological Macromolecules. 2023 ; 228 1-12.[citado 2024 set. 01 ] Available from: https://doi.org/10.1016/j.ijbiomac.2022.12.146
Vancouver
Sales LS, Gimenes M da S, Meneguin AB, Barud H da S, Achcar JA, Brighenti FL. Development of multiparticulate systems based on natural polymers for morin controlled release [Internet]. International Journal of Biological Macromolecules. 2023 ; 228 1-12.[citado 2024 set. 01 ] Available from: https://doi.org/10.1016/j.ijbiomac.2022.12.146
Artigo de periodico
Ovarian microenvironment modulation by adipose-mesenchymal stem cells and photobiomodulation can alter osteoblasts functions in vitro (2023)
Alves, E. D.; Benevenuto, Luíz Guilherme Dercore; Morais, Beatriz Pereira de; Barros, M. A.; Achcar, Jorge Alberto; Montrezor, Luís Henrique
Fonte: Regenerative Engineering and Translational Medicine. Unidade: FMRP
Assuntos: CÉLULAS-TRONCO, TECIDO ADIPOSO, BIOTECNOLOGIA, OSTEOBLASTO
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ABNT
ALVES, E. D. et al. Ovarian microenvironment modulation by adipose-mesenchymal stem cells and photobiomodulation can alter osteoblasts functions in vitro. Regenerative Engineering and Translational Medicine, v. 9, p. 506-517, 2023Tradução . . Disponível em: https://doi.org/10.1007/s40883-023-00297-y. Acesso em: 01 set. 2024.
APA
Alves, E. D., Benevenuto, L. G. D., Morais, B. P. de, Barros, M. A., Achcar, J. A., & Montrezor, L. H. (2023). Ovarian microenvironment modulation by adipose-mesenchymal stem cells and photobiomodulation can alter osteoblasts functions in vitro. Regenerative Engineering and Translational Medicine, 9, 506-517. doi:10.1007/s40883-023-00297-y
NLM
Alves ED, Benevenuto LGD, Morais BP de, Barros MA, Achcar JA, Montrezor LH. Ovarian microenvironment modulation by adipose-mesenchymal stem cells and photobiomodulation can alter osteoblasts functions in vitro [Internet]. Regenerative Engineering and Translational Medicine. 2023 ; 9 506-517.[citado 2024 set. 01 ] Available from: https://doi.org/10.1007/s40883-023-00297-y
Vancouver
Alves ED, Benevenuto LGD, Morais BP de, Barros MA, Achcar JA, Montrezor LH. Ovarian microenvironment modulation by adipose-mesenchymal stem cells and photobiomodulation can alter osteoblasts functions in vitro [Internet]. Regenerative Engineering and Translational Medicine. 2023 ; 9 506-517.[citado 2024 set. 01 ] Available from: https://doi.org/10.1007/s40883-023-00297-y
Artigo de periodico
Semiparametric transformation model: a hierarchical Bayesian approach (2023)
Achcar, Jorge Alberto; Barili, Emerson; Martinez, Edson Zangiacomi
Fonte: Model Assisted Statistics and Applications. Unidade: FMRP
Assuntos: DADOS CENSURADOS, INFERÊNCIA BAYESIANA, MÉTODOS MCMC
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ABNT
ACHCAR, Jorge Alberto e BARILI, Emerson e MARTINEZ, Edson Zangiacomi. Semiparametric transformation model: a hierarchical Bayesian approach. Model Assisted Statistics and Applications, v. 18, p. 245-256, 2023Tradução . . Disponível em: https://doi.org/10.3233/MAS-221408. Acesso em: 01 set. 2024.
APA
Achcar, J. A., Barili, E., & Martinez, E. Z. (2023). Semiparametric transformation model: a hierarchical Bayesian approach. Model Assisted Statistics and Applications, 18, 245-256. doi:10.3233/MAS-221408
NLM
Achcar JA, Barili E, Martinez EZ. Semiparametric transformation model: a hierarchical Bayesian approach [Internet]. Model Assisted Statistics and Applications. 2023 ; 18 245-256.[citado 2024 set. 01 ] Available from: https://doi.org/10.3233/MAS-221408
Vancouver
Achcar JA, Barili E, Martinez EZ. Semiparametric transformation model: a hierarchical Bayesian approach [Internet]. Model Assisted Statistics and Applications. 2023 ; 18 245-256.[citado 2024 set. 01 ] Available from: https://doi.org/10.3233/MAS-221408
Artigo de periodico
Use of segmented linear regression under a bayesian approach to detect climate change in different regions of the world (2023)
Barili, Emerson; Achcar, Jorge Alberto
Fonte: Biomedical Science and Clinical Research. Unidade: FMRP
Assuntos: MUDANÇA CLIMÁTICA, REGRESSÃO LINEAR, PRECIPITAÇÃO ATMOSFÉRICA
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ABNT
BARILI, Emerson e ACHCAR, Jorge Alberto. Use of segmented linear regression under a bayesian approach to detect climate change in different regions of the world. Biomedical Science and Clinical Research, v. 2, n. 1, p. 149-158, 2023Tradução . . Disponível em: https://doi.org/10.33140/BSCR. Acesso em: 01 set. 2024.
APA
Barili, E., & Achcar, J. A. (2023). Use of segmented linear regression under a bayesian approach to detect climate change in different regions of the world. Biomedical Science and Clinical Research, 2( 1), 149-158. doi:10.33140/BSCR
NLM
Barili E, Achcar JA. Use of segmented linear regression under a bayesian approach to detect climate change in different regions of the world [Internet]. Biomedical Science and Clinical Research. 2023 ; 2( 1): 149-158.[citado 2024 set. 01 ] Available from: https://doi.org/10.33140/BSCR
Vancouver
Barili E, Achcar JA. Use of segmented linear regression under a bayesian approach to detect climate change in different regions of the world [Internet]. Biomedical Science and Clinical Research. 2023 ; 2( 1): 149-158.[citado 2024 set. 01 ] Available from: https://doi.org/10.33140/BSCR
Artigo de periodico
Bacterial cellulose-based cell culture platform modified by oxygen plasma for tissue engineering applications (2023)
Benevenuto, Luíz Guilherme Dercore; Barud, Hernane da Silva; Cruz, Sandra Andrea; Caillier, Bruno; Paiva, Robert da Silva; Achcar, Jorge Alberto; Montrezor, Luís Henrique
Fonte: Cellulose. Unidade: FMRP
Assuntos: CELULOSE, PLASMA, OSTEOBLASTO, BIOTECNOLOGIA
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ABNT
BENEVENUTO, Luíz Guilherme Dercore et al. Bacterial cellulose-based cell culture platform modified by oxygen plasma for tissue engineering applications. Cellulose, v. 30, p. 9625-9634, 2023Tradução . . Disponível em: https://doi.org/10.1007/s10570-023-05478-0. Acesso em: 01 set. 2024.
APA
Benevenuto, L. G. D., Barud, H. da S., Cruz, S. A., Caillier, B., Paiva, R. da S., Achcar, J. A., & Montrezor, L. H. (2023). Bacterial cellulose-based cell culture platform modified by oxygen plasma for tissue engineering applications. Cellulose, 30, 9625-9634. doi:10.1007/s10570-023-05478-0
NLM
Benevenuto LGD, Barud H da S, Cruz SA, Caillier B, Paiva R da S, Achcar JA, Montrezor LH. Bacterial cellulose-based cell culture platform modified by oxygen plasma for tissue engineering applications [Internet]. Cellulose. 2023 ; 30 9625-9634.[citado 2024 set. 01 ] Available from: https://doi.org/10.1007/s10570-023-05478-0
Vancouver
Benevenuto LGD, Barud H da S, Cruz SA, Caillier B, Paiva R da S, Achcar JA, Montrezor LH. Bacterial cellulose-based cell culture platform modified by oxygen plasma for tissue engineering applications [Internet]. Cellulose. 2023 ; 30 9625-9634.[citado 2024 set. 01 ] Available from: https://doi.org/10.1007/s10570-023-05478-0
Artigo de periodico
A hierarchical Bayesian analysis for bivariate Weibull distribution under left-censoring scheme (2023)
Peralta, Danielle; Oliveira, Ricardo Puziol de; Achcar, Jorge Alberto
Fonte: Journal of Applied Statistics. Unidade: FMRP
Assuntos: DISTRIBUIÇÕES (PROBABILIDADE), INFERÊNCIA BAYESIANA, DADOS CENSURADOS
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ABNT
PERALTA, Danielle e OLIVEIRA, Ricardo Puziol de e ACHCAR, Jorge Alberto. A hierarchical Bayesian analysis for bivariate Weibull distribution under left-censoring scheme. Journal of Applied Statistics, v. 51, n. 9, p. 1772-1791, 2023Tradução . . Disponível em: https://doi.org/10.1080/02664763.2023.2235093. Acesso em: 01 set. 2024.
APA
Peralta, D., Oliveira, R. P. de, & Achcar, J. A. (2023). A hierarchical Bayesian analysis for bivariate Weibull distribution under left-censoring scheme. Journal of Applied Statistics, 51( 9), 1772-1791. doi:10.1080/02664763.2023.2235093
NLM
Peralta D, Oliveira RP de, Achcar JA. A hierarchical Bayesian analysis for bivariate Weibull distribution under left-censoring scheme [Internet]. Journal of Applied Statistics. 2023 ; 51( 9): 1772-1791.[citado 2024 set. 01 ] Available from: https://doi.org/10.1080/02664763.2023.2235093
Vancouver
Peralta D, Oliveira RP de, Achcar JA. A hierarchical Bayesian analysis for bivariate Weibull distribution under left-censoring scheme [Internet]. Journal of Applied Statistics. 2023 ; 51( 9): 1772-1791.[citado 2024 set. 01 ] Available from: https://doi.org/10.1080/02664763.2023.2235093
Artigo de periodico
Aplicações de previsão de demanda por meio de séries temporais (2023)
Cambuí, Caio Matheus Comar; Piratelli, Claudio Luís; Achcar, Jorge Alberto; Pinto, Rafael Henrique Faia; Pacheco, Bruna Cristine Scarduelli
Fonte: Revista de Gestão e Secretariado. Unidade: FMRP
Assuntos: ANÁLISE DE SÉRIES TEMPORAIS, DEMANDA, TOMADA DE DECISÃO (ADMINISTRAÇÃO EXECUTIVA)
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ABNT
CAMBUÍ, Caio Matheus Comar et al. Aplicações de previsão de demanda por meio de séries temporais. Revista de Gestão e Secretariado, v. 14, n. 2, p. 1477-1490, 2023Tradução . . Disponível em: https://doi.org/10.7769/gesec.v14i2.1627. Acesso em: 01 set. 2024.
APA
Cambuí, C. M. C., Piratelli, C. L., Achcar, J. A., Pinto, R. H. F., & Pacheco, B. C. S. (2023). Aplicações de previsão de demanda por meio de séries temporais. Revista de Gestão e Secretariado, 14( 2), 1477-1490. doi:10.7769/gesec.v14i2.1627
NLM
Cambuí CMC, Piratelli CL, Achcar JA, Pinto RHF, Pacheco BCS. Aplicações de previsão de demanda por meio de séries temporais [Internet]. Revista de Gestão e Secretariado. 2023 ; 14( 2): 1477-1490.[citado 2024 set. 01 ] Available from: https://doi.org/10.7769/gesec.v14i2.1627
Vancouver
Cambuí CMC, Piratelli CL, Achcar JA, Pinto RHF, Pacheco BCS. Aplicações de previsão de demanda por meio de séries temporais [Internet]. Revista de Gestão e Secretariado. 2023 ; 14( 2): 1477-1490.[citado 2024 set. 01 ] Available from: https://doi.org/10.7769/gesec.v14i2.1627
Artigo de periodico
Bayesian statistical analysis of daily returns runs in Brazilian stock exchange (2023)
Oliveira, Ricardo Puziol de; Peres, Marcos Vinicius de Oliveira; Cremoneze, Isabela Zara; Achcar, Jorge Alberto
Fonte: Electronic Journal of Applied Statistical Analysis. Unidade: FMRP
Assuntos: INFERÊNCIA BAYESIANA, DISTRIBUIÇÕES (PROBABILIDADE), MERCADO FINANCEIRO, BOLSA DE VALORES
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ABNT
OLIVEIRA, Ricardo Puziol de et al. Bayesian statistical analysis of daily returns runs in Brazilian stock exchange. Electronic Journal of Applied Statistical Analysis, v. 16, n. 2, p. 192-207, 2023Tradução . . Disponível em: https://doi.org/10.1285/i20705948v16n2p192. Acesso em: 01 set. 2024.
APA
Oliveira, R. P. de, Peres, M. V. de O., Cremoneze, I. Z., & Achcar, J. A. (2023). Bayesian statistical analysis of daily returns runs in Brazilian stock exchange. Electronic Journal of Applied Statistical Analysis, 16( 2), 192-207. doi:10.1285/i20705948v16n2p192
NLM
Oliveira RP de, Peres MV de O, Cremoneze IZ, Achcar JA. Bayesian statistical analysis of daily returns runs in Brazilian stock exchange [Internet]. Electronic Journal of Applied Statistical Analysis. 2023 ; 16( 2): 192-207.[citado 2024 set. 01 ] Available from: https://doi.org/10.1285/i20705948v16n2p192
Vancouver
Oliveira RP de, Peres MV de O, Cremoneze IZ, Achcar JA. Bayesian statistical analysis of daily returns runs in Brazilian stock exchange [Internet]. Electronic Journal of Applied Statistical Analysis. 2023 ; 16( 2): 192-207.[citado 2024 set. 01 ] Available from: https://doi.org/10.1285/i20705948v16n2p192
Artigo de periodico
Climate Change Data: Use of an Autoregressive (AR) Model in Presence of Change Points under a Bayesian Approach (2023)
Achcar, Jorge Alberto; Barili, Emerson
Fonte: International Journal of Environment and Climate Change. Unidade: FMRP
Assuntos: CLIMA, MÉTODOS MCMC, INFERÊNCIA BAYESIANA
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ABNT
ACHCAR, Jorge Alberto e BARILI, Emerson. Climate Change Data: Use of an Autoregressive (AR) Model in Presence of Change Points under a Bayesian Approach. International Journal of Environment and Climate Change, v. 13, n. 6, p. 23-47, 2023Tradução . . Disponível em: https://doi.org/10.9734/ijecc/2023/v13i61795. Acesso em: 01 set. 2024.
APA
Achcar, J. A., & Barili, E. (2023). Climate Change Data: Use of an Autoregressive (AR) Model in Presence of Change Points under a Bayesian Approach. International Journal of Environment and Climate Change, 13( 6), 23-47. doi:10.9734/ijecc/2023/v13i61795
NLM
Achcar JA, Barili E. Climate Change Data: Use of an Autoregressive (AR) Model in Presence of Change Points under a Bayesian Approach [Internet]. International Journal of Environment and Climate Change. 2023 ; 13( 6): 23-47.[citado 2024 set. 01 ] Available from: https://doi.org/10.9734/ijecc/2023/v13i61795
Vancouver
Achcar JA, Barili E. Climate Change Data: Use of an Autoregressive (AR) Model in Presence of Change Points under a Bayesian Approach [Internet]. International Journal of Environment and Climate Change. 2023 ; 13( 6): 23-47.[citado 2024 set. 01 ] Available from: https://doi.org/10.9734/ijecc/2023/v13i61795
Artigo de periodico
A new class of bivariate Sushila distributions in presence of right-censored and cure fraction (2023)
Oliveira, Ricardo Puziol de; Peres, Marcos Vinicius de Oliveira; Achcar, Jorge Alberto; Martinez, Edson Zangiacomi
Fonte: Brazilian Journal of Probability and Statistics. Unidade: FMRP
Assuntos: FRAÇÕES CONTÍNUAS, INFERÊNCIA BAYESIANA, SIMULAÇÃO (ESTATÍSTICA), MÉTODOS MCMC
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ABNT
OLIVEIRA, Ricardo Puziol de et al. A new class of bivariate Sushila distributions in presence of right-censored and cure fraction. Brazilian Journal of Probability and Statistics, v. 37, n. 1, p. 55-72, 2023Tradução . . Disponível em: https://doi.org/10.1214/22-BJPS560. Acesso em: 01 set. 2024.
APA
Oliveira, R. P. de, Peres, M. V. de O., Achcar, J. A., & Martinez, E. Z. (2023). A new class of bivariate Sushila distributions in presence of right-censored and cure fraction. Brazilian Journal of Probability and Statistics, 37( 1), 55-72. doi:10.1214/22-BJPS560
NLM
Oliveira RP de, Peres MV de O, Achcar JA, Martinez EZ. A new class of bivariate Sushila distributions in presence of right-censored and cure fraction [Internet]. Brazilian Journal of Probability and Statistics. 2023 ; 37( 1): 55-72.[citado 2024 set. 01 ] Available from: https://doi.org/10.1214/22-BJPS560
Vancouver
Oliveira RP de, Peres MV de O, Achcar JA, Martinez EZ. A new class of bivariate Sushila distributions in presence of right-censored and cure fraction [Internet]. Brazilian Journal of Probability and Statistics. 2023 ; 37( 1): 55-72.[citado 2024 set. 01 ] Available from: https://doi.org/10.1214/22-BJPS560
Artigo de periodico
A stochastic bayesian artificial intelligence framework to assess climatological water balance under missing variables for evapotranspiration estimates (2023)
Ribeiro, Vitor P; Desuó Neto, Luiz; Marques, Patricia A. A; Achcar, Jorge Alberto ; Junqueira, Adriano M; Chinatto Junior, Adilson W; Junqueira, Cynthia C. M; Maciel, Carlos Dias ; Balestieri, José Antonio P
Fonte: Agronomy. Unidades: EESC, FMRP, ESALQ
Assuntos: BALANÇO HÍDRICO, EVAPOTRANSPIRAÇÃO, INFERÊNCIA BAYESIANA, INTELIGÊNCIA ARTIFICIAL, IRRIGAÇÃO, MODELOS PARA PROCESSOS ESTOCÁSTICOS, SISTEMAS DE APOIO À DECISÃO
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ABNT
RIBEIRO, Vitor P et al. A stochastic bayesian artificial intelligence framework to assess climatological water balance under missing variables for evapotranspiration estimates. Agronomy, v. 13, p. 1-28, 2023Tradução . . Disponível em: https://dx.doi.org/10.3390/agronomy13122970. Acesso em: 01 set. 2024.
APA
Ribeiro, V. P., Desuó Neto, L., Marques, P. A. A., Achcar, J. A., Junqueira, A. M., Chinatto Junior, A. W., et al. (2023). A stochastic bayesian artificial intelligence framework to assess climatological water balance under missing variables for evapotranspiration estimates. Agronomy, 13, 1-28. doi:10.3390/agronomy13122970
NLM
Ribeiro VP, Desuó Neto L, Marques PAA, Achcar JA, Junqueira AM, Chinatto Junior AW, Junqueira CCM, Maciel CD, Balestieri JAP. A stochastic bayesian artificial intelligence framework to assess climatological water balance under missing variables for evapotranspiration estimates [Internet]. Agronomy. 2023 ; 13 1-28.[citado 2024 set. 01 ] Available from: https://dx.doi.org/10.3390/agronomy13122970
Vancouver
Ribeiro VP, Desuó Neto L, Marques PAA, Achcar JA, Junqueira AM, Chinatto Junior AW, Junqueira CCM, Maciel CD, Balestieri JAP. A stochastic bayesian artificial intelligence framework to assess climatological water balance under missing variables for evapotranspiration estimates [Internet]. Agronomy. 2023 ; 13 1-28.[citado 2024 set. 01 ] Available from: https://dx.doi.org/10.3390/agronomy13122970
Artigo de periodico
Annual mean temperature and rain precipitation in North America using NHPP to detect climate changes (2023)
Achcar, Jorge Alberto; Rodrigues, Eliane R.; Oliveira, Ricardo Puziol de; Barili, Emerson
Fonte: International Journal of Environment and Climate Change. Unidade: FMRP
Assuntos: MUDANÇA CLIMÁTICA, INFERÊNCIA BAYESIANA, MÉTODOS MCMC
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ACHCAR, Jorge Alberto et al. Annual mean temperature and rain precipitation in North America using NHPP to detect climate changes. International Journal of Environment and Climate Change, v. 13, n. 8, p. 141-161, 2023Tradução . . Disponível em: https://doi.org/10.9734/IJECC/2023/v13i81940. Acesso em: 01 set. 2024.
APA
Achcar, J. A., Rodrigues, E. R., Oliveira, R. P. de, & Barili, E. (2023). Annual mean temperature and rain precipitation in North America using NHPP to detect climate changes. International Journal of Environment and Climate Change, 13( 8), 141-161. doi:10.9734/IJECC/2023/v13i81940
NLM
Achcar JA, Rodrigues ER, Oliveira RP de, Barili E. Annual mean temperature and rain precipitation in North America using NHPP to detect climate changes [Internet]. International Journal of Environment and Climate Change. 2023 ; 13( 8): 141-161.[citado 2024 set. 01 ] Available from: https://doi.org/10.9734/IJECC/2023/v13i81940
Vancouver
Achcar JA, Rodrigues ER, Oliveira RP de, Barili E. Annual mean temperature and rain precipitation in North America using NHPP to detect climate changes [Internet]. International Journal of Environment and Climate Change. 2023 ; 13( 8): 141-161.[citado 2024 set. 01 ] Available from: https://doi.org/10.9734/IJECC/2023/v13i81940
Artigo de periodico
Exponentiated weibull models applied to medical data in presence of right-censoring, cure fraction and covariates (2022)
Martinez, Edson Zangiacomi ; Freitas, Bruno Caparroz Lopes de; Achcar, Jorge Alberto ; Aragon, Davi Casale; Peres, Marcos Vinícius de Oliveira
Fonte: Statistics, Optimization & Information Computing. Unidades: FMRP, ICMC
Assuntos: PROBABILIDADE, ANÁLISE DE SOBREVIVÊNCIA, DADOS CENSURADOS, INFERÊNCIA BAYESIANA, MÉTODOS MCMC
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MARTINEZ, Edson Zangiacomi et al. Exponentiated weibull models applied to medical data in presence of right-censoring, cure fraction and covariates. Statistics, Optimization & Information Computing, v. 10, n. 2, p. 548-571, 2022Tradução . . Disponível em: https://doi.org/10.19139/soic-2310-5070-1266. Acesso em: 01 set. 2024.
APA
Martinez, E. Z., Freitas, B. C. L. de, Achcar, J. A., Aragon, D. C., & Peres, M. V. de O. (2022). Exponentiated weibull models applied to medical data in presence of right-censoring, cure fraction and covariates. Statistics, Optimization & Information Computing, 10( 2), 548-571. doi:10.19139/soic-2310-5070-1266
NLM
Martinez EZ, Freitas BCL de, Achcar JA, Aragon DC, Peres MV de O. Exponentiated weibull models applied to medical data in presence of right-censoring, cure fraction and covariates [Internet]. Statistics, Optimization & Information Computing. 2022 ; 10( 2): 548-571.[citado 2024 set. 01 ] Available from: https://doi.org/10.19139/soic-2310-5070-1266
Vancouver
Martinez EZ, Freitas BCL de, Achcar JA, Aragon DC, Peres MV de O. Exponentiated weibull models applied to medical data in presence of right-censoring, cure fraction and covariates [Internet]. Statistics, Optimization & Information Computing. 2022 ; 10( 2): 548-571.[citado 2024 set. 01 ] Available from: https://doi.org/10.19139/soic-2310-5070-1266
Artigo de periodico
Discrete bilal distribution in the presence of right-censored data and a cure fraction (2022)
Freitas, Bruno Caparroz Lopes de; Achcar, Jorge Alberto ; Peres, Marcos Vinicius de Oliveira; Martinez, Edson Zangiacomi
Fonte: Statistics, Optimization & Information Computing. Unidade: FMRP
Assuntos: ANÁLISE DE SOBREVIVÊNCIA, VEROSSIMILHANÇA, CURA, INFERÊNCIA BAYESIANA, DISTRIBUIÇÃO DISCRETA, DADOS CENSURADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FREITAS, Bruno Caparroz Lopes de et al. Discrete bilal distribution in the presence of right-censored data and a cure fraction. Statistics, Optimization & Information Computing, v. 10, n. 4, p. 1168-1186, 2022Tradução . . Disponível em: https://doi.org/10.19139/soic-2310-5070-1414. Acesso em: 01 set. 2024.
APA
Freitas, B. C. L. de, Achcar, J. A., Peres, M. V. de O., & Martinez, E. Z. (2022). Discrete bilal distribution in the presence of right-censored data and a cure fraction. Statistics, Optimization & Information Computing, 10( 4), 1168-1186. doi:10.19139/soic-2310-5070-1414
NLM
Freitas BCL de, Achcar JA, Peres MV de O, Martinez EZ. Discrete bilal distribution in the presence of right-censored data and a cure fraction [Internet]. Statistics, Optimization & Information Computing. 2022 ; 10( 4): 1168-1186.[citado 2024 set. 01 ] Available from: https://doi.org/10.19139/soic-2310-5070-1414
Vancouver
Freitas BCL de, Achcar JA, Peres MV de O, Martinez EZ. Discrete bilal distribution in the presence of right-censored data and a cure fraction [Internet]. Statistics, Optimization & Information Computing. 2022 ; 10( 4): 1168-1186.[citado 2024 set. 01 ] Available from: https://doi.org/10.19139/soic-2310-5070-1414
Artigo de periodico
Modeling epidemic growth curves using nonlinear rational polynomial equations: an application to Brazil s COVID-19 data (2022)
Oliveira, Ricardo Puziol de; Achcar, Jorge Alberto ; Bertoli, Wesley; Mazucheli, Josmar; Miranda, Yara Campos
Fonte: Revista Tecnologia e Sociedade. Unidade: FMRP
Assuntos: DADOS DE CONTAGEM, COVID-19, PROCESSOS GAUSSIANOS, MODELOS NÃO LINEARES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
OLIVEIRA, Ricardo Puziol de et al. Modeling epidemic growth curves using nonlinear rational polynomial equations: an application to Brazil s COVID-19 data. Revista Tecnologia e Sociedade, v. 18, n. 50, p. 35-47, 2022Tradução . . Disponível em: https://doi.org/10.3895/rts.v18n50.13534. Acesso em: 01 set. 2024.
APA
Oliveira, R. P. de, Achcar, J. A., Bertoli, W., Mazucheli, J., & Miranda, Y. C. (2022). Modeling epidemic growth curves using nonlinear rational polynomial equations: an application to Brazil s COVID-19 data. Revista Tecnologia e Sociedade, 18( 50), 35-47. doi:10.3895/rts.v18n50.13534
NLM
Oliveira RP de, Achcar JA, Bertoli W, Mazucheli J, Miranda YC. Modeling epidemic growth curves using nonlinear rational polynomial equations: an application to Brazil s COVID-19 data [Internet]. Revista Tecnologia e Sociedade. 2022 ; 18( 50): 35-47.[citado 2024 set. 01 ] Available from: https://doi.org/10.3895/rts.v18n50.13534
Vancouver
Oliveira RP de, Achcar JA, Bertoli W, Mazucheli J, Miranda YC. Modeling epidemic growth curves using nonlinear rational polynomial equations: an application to Brazil s COVID-19 data [Internet]. Revista Tecnologia e Sociedade. 2022 ; 18( 50): 35-47.[citado 2024 set. 01 ] Available from: https://doi.org/10.3895/rts.v18n50.13534
Artigo de periodico
Spatial-temporal factors affecting monthly rainfall in some Central Asian countries assuming a Weibull regression model (2022)
Barili, Emerson; Achcar, Jorge Alberto ; Oliveira, Ricardo Puziol de
Fonte: Pakistan Journal of Statistics and Operation Research. Unidade: FMRP
Assuntos: SÉRIES ESPAÇO-TEMPORAIS, VEROSSIMILHANÇA, MUDANÇA CLIMÁTICA, PRECIPITAÇÃO ATMOSFÉRICA, ANÁLISE DE DADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BARILI, Emerson e ACHCAR, Jorge Alberto e OLIVEIRA, Ricardo Puziol de. Spatial-temporal factors affecting monthly rainfall in some Central Asian countries assuming a Weibull regression model. Pakistan Journal of Statistics and Operation Research, v. 18, n. 2, p. 465-482, 2022Tradução . . Disponível em: https://doi.org/10.18187/pjsor.v18i2.3976. Acesso em: 01 set. 2024.
APA
Barili, E., Achcar, J. A., & Oliveira, R. P. de. (2022). Spatial-temporal factors affecting monthly rainfall in some Central Asian countries assuming a Weibull regression model. Pakistan Journal of Statistics and Operation Research, 18( 2), 465-482. doi:10.18187/pjsor.v18i2.3976
NLM
Barili E, Achcar JA, Oliveira RP de. Spatial-temporal factors affecting monthly rainfall in some Central Asian countries assuming a Weibull regression model [Internet]. Pakistan Journal of Statistics and Operation Research. 2022 ; 18( 2): 465-482.[citado 2024 set. 01 ] Available from: https://doi.org/10.18187/pjsor.v18i2.3976
Vancouver
Barili E, Achcar JA, Oliveira RP de. Spatial-temporal factors affecting monthly rainfall in some Central Asian countries assuming a Weibull regression model [Internet]. Pakistan Journal of Statistics and Operation Research. 2022 ; 18( 2): 465-482.[citado 2024 set. 01 ] Available from: https://doi.org/10.18187/pjsor.v18i2.3976
Artigo de periodico
Bayesian estimation for the stable distributions in the presence of covariates with applications in clinical issues (2022)
Achcar, Jorge Alberto ; Souza, Roberto Molina de; Bussola, Daiane; Moala, Fernando A.
Fonte: Pesquisa Operacional. Unidade: FMRP
Assuntos: DISTRIBUIÇÕES (PROBABILIDADE), INFERÊNCIA BAYESIANA, MÉTODOS MCMC, VEROSSIMILHANÇA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ACHCAR, Jorge Alberto et al. Bayesian estimation for the stable distributions in the presence of covariates with applications in clinical issues. Pesquisa Operacional, v. 42, 2022Tradução . . Disponível em: https://doi.org/10.1590/0101-7438.2022.042.00254533. Acesso em: 01 set. 2024.
APA
Achcar, J. A., Souza, R. M. de, Bussola, D., & Moala, F. A. (2022). Bayesian estimation for the stable distributions in the presence of covariates with applications in clinical issues. Pesquisa Operacional, 42. doi:10.1590/0101-7438.2022.042.00254533
NLM
Achcar JA, Souza RM de, Bussola D, Moala FA. Bayesian estimation for the stable distributions in the presence of covariates with applications in clinical issues [Internet]. Pesquisa Operacional. 2022 ; 42[citado 2024 set. 01 ] Available from: https://doi.org/10.1590/0101-7438.2022.042.00254533
Vancouver
Achcar JA, Souza RM de, Bussola D, Moala FA. Bayesian estimation for the stable distributions in the presence of covariates with applications in clinical issues [Internet]. Pesquisa Operacional. 2022 ; 42[citado 2024 set. 01 ] Available from: https://doi.org/10.1590/0101-7438.2022.042.00254533
Artigo de periodico
Bayesian multi-targets strategy to track Apis mellifera movements at colony level (2022)
Oliveira Júnior, Jordão Natal de; Santos, Jônatas Cruz; Jumbo, Luis O. Viteri; Almeida, Carlos H. S.; Toledo, Pedro F. S.; Rezende, Sarah M.; Haddi, Khalid; Santana, Weyder C.; Bessani, Michel; Achcar, Jorge Alberto ; Oliveira, Eugenio E.; Maciel, Carlos Dias
Fonte: Insects. Unidades: FMRP, EESC
Assuntos: ENTROPIA, ABELHAS, PESTICIDAS, COLÔNIAS (BIOLOGIA), ALGORITMOS, INFERÊNCIA BAYESIANA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
OLIVEIRA JÚNIOR, Jordão Natal de et al. Bayesian multi-targets strategy to track Apis mellifera movements at colony level. Insects, v. 13, n. 2, p. 1-12, 2022Tradução . . Disponível em: https://doi.org/10.3390/insects13020181. Acesso em: 01 set. 2024.
APA
Oliveira Júnior, J. N. de, Santos, J. C., Jumbo, L. O. V., Almeida, C. H. S., Toledo, P. F. S., Rezende, S. M., et al. (2022). Bayesian multi-targets strategy to track Apis mellifera movements at colony level. Insects, 13( 2), 1-12. doi:10.3390/insects13020181
NLM
Oliveira Júnior JN de, Santos JC, Jumbo LOV, Almeida CHS, Toledo PFS, Rezende SM, Haddi K, Santana WC, Bessani M, Achcar JA, Oliveira EE, Maciel CD. Bayesian multi-targets strategy to track Apis mellifera movements at colony level [Internet]. Insects. 2022 ; 13( 2): 1-12.[citado 2024 set. 01 ] Available from: https://doi.org/10.3390/insects13020181
Vancouver
Oliveira Júnior JN de, Santos JC, Jumbo LOV, Almeida CHS, Toledo PFS, Rezende SM, Haddi K, Santana WC, Bessani M, Achcar JA, Oliveira EE, Maciel CD. Bayesian multi-targets strategy to track Apis mellifera movements at colony level [Internet]. Insects. 2022 ; 13( 2): 1-12.[citado 2024 set. 01 ] Available from: https://doi.org/10.3390/insects13020181

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