{"_buckets": {"deposit": "f3699c9e-fc0e-4b6d-a029-b231f25748d0"}, "_deposit": {"created_by": 1, "id": "790", "owners": [1], "pid": {"revision_id": 0, "type": "depid", "value": "790"}, "status": "published"}, "_oai": {"id": "oai:ir.soken.ac.jp:00000790", "sets": ["17"]}, "author_link": ["0", "0", "0"], "item_1_biblio_info_21": {"attribute_name": "書誌情報（ソート用）", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2008-09-30", "bibliographicIssueDateType": "Issued"}, "bibliographic_titles": [{}]}]}, "item_1_creator_2": {"attribute_name": "著者名", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "奥田, 将己"}], "nameIdentifiers": [{"nameIdentifier": "0", "nameIdentifierScheme": "WEKO"}]}]}, "item_1_creator_3": {"attribute_name": "フリガナ", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "オクダ, マサキ"}], "nameIdentifiers": [{"nameIdentifier": "0", "nameIdentifierScheme": "WEKO"}]}]}, "item_1_date_granted_11": {"attribute_name": "学位授与年月日", "attribute_value_mlt": [{"subitem_dategranted": "2008-09-30"}]}, "item_1_degree_grantor_5": {"attribute_name": "学位授与機関", "attribute_value_mlt": [{"subitem_degreegrantor": [{"subitem_degreegrantor_name": "総合研究大学院大学"}]}]}, "item_1_degree_name_6": {"attribute_name": "学位名", "attribute_value_mlt": [{"subitem_degreename": "博士（学術）"}]}, "item_1_description_1": {"attribute_name": "ID", "attribute_value_mlt": [{"subitem_description": "2008517", "subitem_description_type": "Other"}]}, "item_1_description_12": {"attribute_name": "要旨", "attribute_value_mlt": [{"subitem_description": "This thesis gives some methods for evaluating statistical data via a\u003cbr /\u003e model selection and shows some applications of the methods. 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}