Data transforms and unbiased back transforms in geostatistics (2009)
- Authors:
- Autor USP: YAMAMOTO, JORGE KAZUO - IGC
- Unidade: IGC
- Assunto: GEOESTATÍSTICA
- Language: Inglês
- Source:
- Título: IAMG 2009 - Computational Methods for the Earth, Energy and Environmental Sciences
- Volume/Número/Paginação/Ano: Code 105721
- Conference titles: International Congress for Mathematical Geology: Computational Methods for the Earth, Energy and Environmental Sciences
-
ABNT
YAMAMOTO, Jorge Kazuo e FURUIE, Rafael. Data transforms and unbiased back transforms in geostatistics. 2009, Anais.. [S.l.]: Instituto de Geociências, Universidade de São Paulo, 2009. Disponível em: https://repositorio.usp.br/directbitstream/e0db61cd-5b14-4177-9f58-60b29dd4ecc1/3102398.pdf. Acesso em: 03 out. 2024. -
APA
Yamamoto, J. K., & Furuie, R. (2009). Data transforms and unbiased back transforms in geostatistics. In IAMG 2009 - Computational Methods for the Earth, Energy and Environmental Sciences. Instituto de Geociências, Universidade de São Paulo. Recuperado de https://repositorio.usp.br/directbitstream/e0db61cd-5b14-4177-9f58-60b29dd4ecc1/3102398.pdf -
NLM
Yamamoto JK, Furuie R. Data transforms and unbiased back transforms in geostatistics [Internet]. IAMG 2009 - Computational Methods for the Earth, Energy and Environmental Sciences. 2009 ;[citado 2024 out. 03 ] Available from: https://repositorio.usp.br/directbitstream/e0db61cd-5b14-4177-9f58-60b29dd4ecc1/3102398.pdf -
Vancouver
Yamamoto JK, Furuie R. Data transforms and unbiased back transforms in geostatistics [Internet]. IAMG 2009 - Computational Methods for the Earth, Energy and Environmental Sciences. 2009 ;[citado 2024 out. 03 ] Available from: https://repositorio.usp.br/directbitstream/e0db61cd-5b14-4177-9f58-60b29dd4ecc1/3102398.pdf - Modelos digitais de terrenos: novas soluções gráficas para resolução de problemas em geologia de engenharia
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- Computation of global estimation variance in mineral deposits
- A review of numerical methods for the interpolation of geological data
- An alternative measure of the reliability of ordinary kriging estimates
- Quantification of uncertainty in ore-reserve estimation: applications to Chapada copper deposit, state of Goiás, Brazil
- Métodos convencionais
- Métodos computacionais
- Análise Geoestatistica
- Pós-processamento das estimativas de krigagem com deriva externa
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