Zobrazeno 1 - 10 of 48 pro vyhledávání: '"non-sampling errors"'
3
Akademický článek
Artificial neural networks, quantile regression, and linear regression for site index prediction in the presence of outliers
Autor: Carlos Alberto Araújo Júnior, Pábulo Diogo de Souza, Adriana Leandra de Assis, Christian Dias Cabacinha, Helio Garcia Leite, Carlos Pedro Boechat Soares, Antonilmar Araújo Lopes da Silva, Renato Vinícius Oliveira Castro
Publikováno v: Pesquisa Agropecuária Brasileira, Vol 54 (2019)
Abstract: The objective of this work was to compare methods of obtaining the site index for eucalyptus (Eucalyptus spp.) stands, as well as to evaluate their impact on the stability of this index in databases with and without outliers. Three methods
Externí odkaz: https://doaj.org/article/72f33c1416bf4d9dbdf54e19f17252b9
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4
Akademický článek
An index of non-sampling error in area frame sampling based on remote sensing data
Autor: Mingquan Wu, Dailiang Peng, Yuchu Qin, Zheng Niu, Chenghai Yang, Wang Li, Pengyu Hao, Chunyang Zhang
Publikováno v: PeerJ, Vol 6, p e5824 (2018)
Agricultural areas are often surveyed using area frame sampling. Using non-updated area sampling frame causes significant non-sampling errors when land cover and usage changes between updates. To address this problem, a novel method is proposed to es
Externí odkaz: https://doaj.org/article/bdd29a04bc294a6f89187951374db922
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5
Akademický článek
Statistical Survey of Non-Formal Education
Autor: Ondřej Nývlt
Publikováno v: Statistika: Statistics and Economy Journal, Vol 49, Iss 4, Pp 27-34 (2012)
focused on a programme within a regular education system. Labour market flexibility and new requirements on employees create a new domain of education called non-formal education. Is there a reliable statistical source with a good methodological defi
Externí odkaz: https://doaj.org/article/094a25b321894bde8e0270208681342f
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7
Akademický článek
Survey Design Optimization for Estimating the Exploitable Biomass of a Fishery Accounting for Non-Sampling Errors
Autor: Smith, Philip J.
Publikováno v: Journal of the Royal Statistical Society. Series C (Applied Statistics), 1988 Jan 01. 37(3), 370-384.
Externí odkaz: https://www.jstor.org/stable/2347311
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8
Redes neurais artificiais, regressão quantílica e regressão linear para predição do índice de sítio na presença de 'outliers'
Autor: Carlos Alberto Araújo Júnior, Pábulo Diogo de Souza, Adriana Leandra de Assis, Christian Dias Cabacinha, Helio Garcia Leite, Carlos Pedro Boechat Soares, Antonilmar Araújo Lopes da Silva, Renato Vinícius Oliveira Castro
Publikováno v: LOCUS Repositório Institucional da UFV
Universidade Federal de Viçosa (UFV)
instacron:UFV
Pesquisa Agropecuária Brasileira v.54 2019
Pesquisa Agropecuária Brasileira
Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
Repositório Institucional da UFMG
Universidade Federal de Minas Gerais (UFMG)
instacron:UFMG
Pesquisa Agropecuária Brasileira, Vol 54 (2019)
The objective of this work was to compare methods of obtaining the site index for eucalyptus (Eucalyptus spp.) stands, as well as to evaluate their impact on the stability of this index in databases with and without outliers. Three methods were teste
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fcbfe9860d51be6716d0595f9245be73
https://doi.org/10.1590/s1678-3921.pab2019.v54.00078
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9
Artificial neural networks, quantile regression, and linear regression for site index prediction in the presence of outliers
Autor: Araújo Júnior, Carlos Alberto, Souza, Pábulo Diogo de, Assis, Adriana Leandra de, Cabacinha, Christian Dias, Leite, Helio Garcia, Soares, Carlos Pedro Boechat, Silva, Antonilmar Araújo Lopes da, Castro, Renato Vinícius Oliveira
Publikováno v: Pesquisa Agropecuária Brasileira, Volume: 54, Article number: e00078, Published: 27 MAY 2019
The objective of this work was to compare methods of obtaining the site index for eucalyptus (Eucalyptus spp.) stands, as well as to evaluate their impact on the stability of this index in databases with and without outliers. Three methods were teste
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______608::d741e4e9782d38ba2e554c7b508ae395
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2019000103200&lng=en&tlng=en
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10
Akademický článek
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