Source: Application of computers and operations research in the mineral industry. Unidade: IGC
Assunto: KRIGAGEM
ABNT
YAMAMOTO, Jorge Kazuo. Comparing ordinary kriging interpolation variance and indicator kriging condidional variance for assessing uncertainties at unsampled locations. Application of computers and operations research in the mineral industry. Tradução . New York: A.A. Balkema, 2005. . Disponível em: https://repositorio.usp.br/directbitstream/675d09a9-056c-4129-927d-d93d291454c6/1761248.pdf. Acesso em: 28 set. 2024.APA
Yamamoto, J. K. (2005). Comparing ordinary kriging interpolation variance and indicator kriging condidional variance for assessing uncertainties at unsampled locations. In Application of computers and operations research in the mineral industry. New York: A.A. Balkema. Recuperado de https://repositorio.usp.br/directbitstream/675d09a9-056c-4129-927d-d93d291454c6/1761248.pdfNLM
Yamamoto JK. Comparing ordinary kriging interpolation variance and indicator kriging condidional variance for assessing uncertainties at unsampled locations [Internet]. In: Application of computers and operations research in the mineral industry. New York: A.A. Balkema; 2005. [citado 2024 set. 28 ] Available from: https://repositorio.usp.br/directbitstream/675d09a9-056c-4129-927d-d93d291454c6/1761248.pdfVancouver
Yamamoto JK. Comparing ordinary kriging interpolation variance and indicator kriging condidional variance for assessing uncertainties at unsampled locations [Internet]. In: Application of computers and operations research in the mineral industry. New York: A.A. Balkema; 2005. [citado 2024 set. 28 ] Available from: https://repositorio.usp.br/directbitstream/675d09a9-056c-4129-927d-d93d291454c6/1761248.pdf