Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Parametric and nonparametric models"'
Publikováno v:
Economía Agraria y Recursos Naturales, Vol 22, Iss 1, Pp 31-52 (2022)
This paper examines the inverse relationship hypothesis (IR-H) between farm size and agricultural productivity in Nicaragua using parametric and nonparametric methods designed specifically for panel data. The data employed are from the World Bank’s
Externí odkaz:
https://doaj.org/article/affd804c3d8542ada3542521c1445e66
Publikováno v:
Forecasting, Vol 2, Iss 2, Pp 163-179 (2020)
The increasing shortage of electricity in Pakistan disturbs almost all sectors of its economy. As, for accurate policy formulation, precise and efficient forecasts of electricity consumption are vital, this paper implements a forecasting procedure ba
Externí odkaz:
https://doaj.org/article/c9c7804710944b5485ab37dae4ec7560
Publikováno v:
IEEE Access, Vol 8, Pp 123104-123113 (2020)
Over the last three decades, accurate modeling and forecasting of electricity prices has become a key issue in competitive electricity markets. As electricity price series usually exhibit several complex features, such as high volatility, seasonality
Externí odkaz:
https://doaj.org/article/424a3265b5ba4d90a5a40e483c88b595
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
Universidade de São Paulo (USP)
instacron:USP
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
[EN] This paper examines the inverse relationship hypothesis (IR-H) between farm size and agricultural productivity in Nicaragua using parametric and nonparametric methods designed specifically for panel data. The data employed are from the World Ban
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c53f57230371e33330586117118bd3d
https://doi.org/10.7201/earn.2022.01.02
https://doi.org/10.7201/earn.2022.01.02
Autor:
Arfang Badji, Lewis Machida, Daniel Bomet Kwemoi, Frank Kumi, Dennis Okii, Natasha Mwila, Symphorien Agbahoungba, Angele Ibanda, Astere Bararyenya, Selma Ndapewa Nghituwamhata, Thomas Odong, Peter Wasswa, Michael Otim, Mildred Ochwo-Ssemakula, Herbert Talwana, Godfrey Asea, Samuel Kyamanywa, Patrick Rubaihayo
Publikováno v:
Plants, Vol 10, Iss 1, p 29 (2020)
Genomic selection (GS) can accelerate variety improvement when training set (TS) size and its relationship with the breeding set (BS) are optimized for prediction accuracies (PAs) of genomic prediction (GP) models. Sixteen GP algorithms were run on p
Externí odkaz:
https://doaj.org/article/d2298dbf658f4013b6eb91b54d027342
Publikováno v:
Forecasting, Vol 2, Iss 9, Pp 163-179 (2020)
Forecasting
Volume 2
Issue 2
Pages 9-179
Forecasting
Volume 2
Issue 2
Pages 9-179
The increasing shortage of electricity in Pakistan disturbs almost all sectors of its economy. As, for accurate policy formulation, precise and efficient forecasts of electricity consumption are vital, this paper implements a forecasting procedure ba
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f9564b1083444c8f7f42346fcdd0346d
https://doi.org/10.3390/forecast2020009
https://doi.org/10.3390/forecast2020009
Publikováno v:
IEEE Access, Vol 8, Pp 123104-123113 (2020)
Over the last three decades, accurate modeling and forecasting of electricity prices has become a key issue in competitive electricity markets. As electricity price series usually exhibit several complex features, such as high volatility, seasonality
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::13146de76c21f71117db60664bd20413
https://doi.org/10.1109/access.2020.3007189
https://doi.org/10.1109/access.2020.3007189
[EN] This paper examines the inverse relationship hypothesis (IR-H) between farm size and ag-ricultural productivity in Nicaragua using parametric and nonparametric methods designed specifically for panel data. The data employed are from the World Ba
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9dc3e0279c384270ff59f9175372ca9a
Autor:
Patrick Rubaihayo, Lewis Machida, Arfang Badji, Symphorien Agbahoungba, Dennis Okii, Frank Kumi, Astere Bararyenya, Angele Ibanda, Godfrey Asea, Selma Ndapewa Nghituwamhata, Samuel Kyamanywa, Thomas Odong, Michael Otim, M. Ochwo-Ssemakula, Herbert Talwana, Peter Wasswa, Natasha Mwila, Daniel Bomet Kwemoi
Publikováno v:
Plants
Plants, Vol 10, Iss 29, p 29 (2021)
Volume 10
Issue 1
Plants, Vol 10, Iss 29, p 29 (2021)
Volume 10
Issue 1
Genomic selection (GS) can accelerate variety release by shortening the variety development phase when factors that influence prediction accuracies (PA) of genomic prediction (GP) models such as training set (TS) size and relationship with the breedi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5918df46d12098ff73a35469e794d658
https://pubmed.ncbi.nlm.nih.gov/33374402
https://pubmed.ncbi.nlm.nih.gov/33374402
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