Item type |
紀要論文 / Departmental Bulletin Paper(1) |
公開日 |
2023-03-30 |
タイトル |
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タイトル |
Non-parametric Modeling and Its Application on Real-life Data |
言語 |
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言語 |
eng |
キーワード |
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主題Scheme |
Other |
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主題 |
Kernel |
キーワード |
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主題Scheme |
Other |
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主題 |
Spline |
キーワード |
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主題Scheme |
Other |
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主題 |
Loess |
キーワード |
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主題Scheme |
Other |
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主題 |
Parametric model |
キーワード |
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主題Scheme |
Other |
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主題 |
Non-parametric model |
キーワード |
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主題Scheme |
Other |
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主題 |
R2 criterion |
資源タイプ |
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資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
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資源タイプ |
departmental bulletin paper |
著者 |
Pal, Prasenjit
Pal, Subhabaha
Pal, Satyabrata
Kageyama, Sanpei
景山, 三平
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抄録 |
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内容記述タイプ |
Abstract |
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内容記述 |
Some non-parametric models (kernel, loess and spline) have been compared with different parametric models in order to judge their precision by measuring the proximity between the observed and the predicted values based on the data-sets on the pest incidence (measured in terms of the number of pests) in respect of two important crops, namely, brinjal and chilli, with a view to describing the pattern of the incidence of pests over the year based on weekly incidence data (28 weeks). The importance of such studies stems from the fact that the farmers need the specialized scientific information in the form of advisory services in respect of the pattern of pest incidence over the year in advance and creation of pest-models helps us to obtain such important information. This paper is devoted to generate pest incidence models in cases of brinjal and chilli crops. Such pieces of generated information assist the farmers in their planning and execution of the cultivation of the said crops over the year. It is revealed that the precision levels (as are obtained by calculating the actual values of the well-known R2 criterion) are much higher when the non-parametric models are applied on the data-sets considered under the purview of the paper, in comparison to other methods exploited to obtaining the above-said information. |
書誌情報 |
広島工業大学紀要. 研究編
巻 46,
p. 173-179,
発行日 2012-02
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出版者 |
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出版者 |
広島工業大学 |
ISSN |
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収録物識別子タイプ |
ISSN |
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収録物識別子 |
13469975 |
書誌レコードID |
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収録物識別子タイプ |
NCID |
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収録物識別子 |
AA11599110 |
論文ID(NAID) |
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関連タイプ |
isIdenticalTo |
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識別子タイプ |
NAID |
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関連識別子 |
40019182685 |
フォーマット |
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内容記述タイプ |
Other |
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内容記述 |
application/pdf |
著者版フラグ |
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出版タイプ |
VoR |
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出版タイプResource |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |