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Especially,\u003cbr /.\u003e plant ecological and worm ethological data with spatial information are\u003cbr /\u003e treated. Characteristic problems arising in each data are shown through the\u003cbr /\u003e data analysis of explanatory variables in base models.\u003cbr /\u003e Firstly, the problem of selecting topographical attribute as the\u003cbr /\u003eexplanatory variable is discussed through contingency table statistics. As an\u003cbr /\u003e example, an analysis of observed data about relative altitudes and about\u003cbr /\u003edistribution of moss is shown. In order to consider the relationship between\u003cbr /\u003etopography and distribution of plants, data of altitude and mosses in study\u003cbr /\u003eplots in continental Antarctica were collected by the present author when he\u003cbr /\u003e had a chance to visit there. The altitude data was processed as an\u003cbr /\u003e explanatory variable of model about the existence of moss. As one of the\u003cbr /\u003e important topographical attributes that are calculated from altitude data, \u003cbr /\u003e the relief from standard surface was adopted. Under the assumption that the\u003cbr /\u003e probability of moss existence is proportional to the value of residuals from\u003cbr /\u003e standard surface, the strength of relationship between topography and moss\u003cbr /\u003e distribution was obtained by using 2 X 2 contingency table statistics. It\u003cbr /\u003e suggested that a simpler standard surface had a better ability, than an\u003cbr /\u003e adjusted standard surface, of determining topographical attribute which\u003cbr /\u003e strongly related to the moss existence. Then, the standard surface estimated\u003cbr /\u003e by robust methods presented in this paper had a little better ability than by\u003cbr /\u003e a prevailing least-square method. Totally, the accurate regression methods\u003cbr /\u003e were overfitting as a method of determining the standard surface. \u003cbr /\u003e Secondly, a modeling with spatial information is treated. The problem\u003cbr /\u003e of selecting a model is discussed through linear models and linear mixed\u003cbr /\u003emodels. As examples, the analyses of the distribution of dwarf pine in mixed\u003cbr /\u003e forest and of the moving track of nematode are shown. In the analysis of\u003cbr /\u003e dwarf pine, data of forest study was collected in central Kamchatka by the\u003cbr /\u003e research group in which the present author has participated. There, the size\u003cbr /\u003e of stem diameter at the base of the lowest live branch of dwarf pine\u003cbr /\u003e individuals and their distance from canopy trees were used for parameters of\u003cbr /\u003e growth models. Consequently, as in many previous works of growth model\u003cbr /\u003e about canopy trees, an adequateness of using the inverse of distance in\u003cbr /\u003e competitive effect terms was shown. In the analysis of nematode, data\u003cbr /\u003e collected by an automatic tracking system of the center of gravity about the\u003cbr /\u003e individuals at an experiment of learning action to detestable odorant for\u003cbr /\u003e nematode was used. The avoidance action of nematode from the odorant was\u003cbr /\u003e explained by the factors involving time and coordinate. In the detestable\u003cbr /\u003e odorant (2-nonanone) exposed condition, the selected linear model retained\u003cbr /\u003e the term of distance with positive coefficient and did not retain the term of\u003cbr /\u003e time. On the other hand, the selected linear mixed models retained the terms\u003cbr /\u003e of time with positive coefficient and the distance with negative coefficient in\u003cbr /\u003e selected models about avoidance action. However, in the solvent (ethyl\u003cbr /\u003e alcohol) exposed condition, different variable selection rules lead quite\u003cbr /\u003e different results in linear mixed models and stable interpretation cannot be\u003cbr /\u003e done. As a result of model selection, it is shown that the linear mixed models\u003cbr /\u003e have substantially better reproduction ability of moving track than the other\u003cbr /\u003e models. \u003cbr /\u003e In summary, by applying statistical methods and models presented in\u003cbr /\u003e this thesis, it is shown that many significant results in ecology and ethology\u003cbr /\u003e are derived which are useful and suggestive in respective scientific fields.", "subitem_description_type": "Other"}]}, "item_1_description_7": {"attribute_name": "学位記番号", "attribute_value_mlt": [{"subitem_description": "総研大甲第1198号", "subitem_description_type": "Other"}]}, "item_1_select_14": {"attribute_name": "所蔵", "attribute_value_mlt": [{"subitem_select_item": "有"}]}, "item_1_select_8": {"attribute_name": "研究科", "attribute_value_mlt": [{"subitem_select_item": "複合科学研究科"}]}, "item_1_select_9": {"attribute_name": "専攻", "attribute_value_mlt": [{"subitem_select_item": "15 統計科学専攻"}]}, "item_1_text_10": {"attribute_name": "学位授与年度", "attribute_value_mlt": [{"subitem_text_value": "2008"}]}, "item_creator": {"attribute_name": "著者", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "OKUDA, Masaki", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "0", "nameIdentifierScheme": "WEKO"}]}]}, "item_files": {"attribute_name": "ファイル情報", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_date", "date": [{"dateType": "Available", "dateValue": "2016-02-17"}], "displaytype": "simple", "download_preview_message": "", "file_order": 0, "filename": "甲1198_要旨.pdf", "filesize": [{"value": "241.1 kB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_11", "mimetype": "application/pdf", "size": 241100.0, "url": {"label": "要旨・審査要旨", "url": "https://ir.soken.ac.jp/record/790/files/甲1198_要旨.pdf"}, "version_id": "ab792251-ca5e-413f-877c-eb497978d465"}]}, "item_language": {"attribute_name": "言語", "attribute_value_mlt": [{"subitem_language": "eng"}]}, "item_resource_type": {"attribute_name": "資源タイプ", "attribute_value_mlt": [{"resourcetype": "thesis", "resourceuri": "http://purl.org/coar/resource_type/c_46ec"}]}, "item_title": "Statistical analysis of plant ecological and worm ethological data - Some viewpoints of explanatory variables in base models -", "item_titles": {"attribute_name": "タイトル", "attribute_value_mlt": [{"subitem_title": "Statistical analysis of plant ecological and worm ethological data - Some viewpoints of explanatory variables in base models -"}, {"subitem_title": "Statistical analysis of plant ecological and worm ethological data - Some viewpoints of explanatory variables in base models -", "subitem_title_language": "en"}]}, "item_type_id": "1", "owner": "1", "path": ["17"], "permalink_uri": "https://ir.soken.ac.jp/records/790", "pubdate": {"attribute_name": "公開日", "attribute_value": "2010-02-22"}, "publish_date": "2010-02-22", "publish_status": "0", "recid": "790", "relation": {}, "relation_version_is_last": true, "title": ["Statistical analysis of plant ecological and worm ethological data - Some viewpoints of explanatory variables in base models -"], "weko_shared_id": -1}
Statistical analysis of plant ecological and worm ethological data - Some viewpoints of explanatory variables in base models -
https://ir.soken.ac.jp/records/790
https://ir.soken.ac.jp/records/790f0bc040e-a0f2-407d-90cc-f09ebdaf9af6
名前 / ファイル | ライセンス | アクション |
---|---|---|
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Item type | 学位論文 / Thesis or Dissertation(1) | |||||
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公開日 | 2010-02-22 | |||||
タイトル | ||||||
タイトル | Statistical analysis of plant ecological and worm ethological data - Some viewpoints of explanatory variables in base models - | |||||
タイトル | ||||||
言語 | en | |||||
タイトル | Statistical analysis of plant ecological and worm ethological data - Some viewpoints of explanatory variables in base models - | |||||
言語 | ||||||
言語 | eng | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_46ec | |||||
資源タイプ | thesis | |||||
著者名 |
奥田, 将己
× 奥田, 将己 |
|||||
フリガナ |
オクダ, マサキ
× オクダ, マサキ |
|||||
著者 |
OKUDA, Masaki
× OKUDA, Masaki |
|||||
学位授与機関 | ||||||
学位授与機関名 | 総合研究大学院大学 | |||||
学位名 | ||||||
学位名 | 博士(学術) | |||||
学位記番号 | ||||||
内容記述タイプ | Other | |||||
内容記述 | 総研大甲第1198号 | |||||
研究科 | ||||||
値 | 複合科学研究科 | |||||
専攻 | ||||||
値 | 15 統計科学専攻 | |||||
学位授与年月日 | ||||||
学位授与年月日 | 2008-09-30 | |||||
学位授与年度 | ||||||
2008 | ||||||
要旨 | ||||||
内容記述タイプ | Other | |||||
内容記述 | This thesis gives some methods for evaluating statistical data via a<br /> model selection and shows some applications of the methods. Especially,<br /.> plant ecological and worm ethological data with spatial information are<br /> treated. Characteristic problems arising in each data are shown through the<br /> data analysis of explanatory variables in base models.<br /> Firstly, the problem of selecting topographical attribute as the<br />explanatory variable is discussed through contingency table statistics. As an<br /> example, an analysis of observed data about relative altitudes and about<br />distribution of moss is shown. In order to consider the relationship between<br />topography and distribution of plants, data of altitude and mosses in study<br />plots in continental Antarctica were collected by the present author when he<br /> had a chance to visit there. The altitude data was processed as an<br /> explanatory variable of model about the existence of moss. As one of the<br /> important topographical attributes that are calculated from altitude data, <br /> the relief from standard surface was adopted. Under the assumption that the<br /> probability of moss existence is proportional to the value of residuals from<br /> standard surface, the strength of relationship between topography and moss<br /> distribution was obtained by using 2 X 2 contingency table statistics. It<br /> suggested that a simpler standard surface had a better ability, than an<br /> adjusted standard surface, of determining topographical attribute which<br /> strongly related to the moss existence. Then, the standard surface estimated<br /> by robust methods presented in this paper had a little better ability than by<br /> a prevailing least-square method. Totally, the accurate regression methods<br /> were overfitting as a method of determining the standard surface. <br /> Secondly, a modeling with spatial information is treated. The problem<br /> of selecting a model is discussed through linear models and linear mixed<br />models. As examples, the analyses of the distribution of dwarf pine in mixed<br /> forest and of the moving track of nematode are shown. In the analysis of<br /> dwarf pine, data of forest study was collected in central Kamchatka by the<br /> research group in which the present author has participated. There, the size<br /> of stem diameter at the base of the lowest live branch of dwarf pine<br /> individuals and their distance from canopy trees were used for parameters of<br /> growth models. Consequently, as in many previous works of growth model<br /> about canopy trees, an adequateness of using the inverse of distance in<br /> competitive effect terms was shown. In the analysis of nematode, data<br /> collected by an automatic tracking system of the center of gravity about the<br /> individuals at an experiment of learning action to detestable odorant for<br /> nematode was used. The avoidance action of nematode from the odorant was<br /> explained by the factors involving time and coordinate. In the detestable<br /> odorant (2-nonanone) exposed condition, the selected linear model retained<br /> the term of distance with positive coefficient and did not retain the term of<br /> time. On the other hand, the selected linear mixed models retained the terms<br /> of time with positive coefficient and the distance with negative coefficient in<br /> selected models about avoidance action. However, in the solvent (ethyl<br /> alcohol) exposed condition, different variable selection rules lead quite<br /> different results in linear mixed models and stable interpretation cannot be<br /> done. As a result of model selection, it is shown that the linear mixed models<br /> have substantially better reproduction ability of moving track than the other<br /> models. <br /> In summary, by applying statistical methods and models presented in<br /> this thesis, it is shown that many significant results in ecology and ethology<br /> are derived which are useful and suggestive in respective scientific fields. | |||||
所蔵 | ||||||
値 | 有 |