{"created":"2023-06-20T13:20:45.111089+00:00","id":790,"links":{},"metadata":{"_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":["2:429:17"]},"author_link":["0","0","0"],"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_12":{"attribute_name":"要旨","attribute_value_mlt":[{"subitem_description":"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.","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","filename":"甲1198_要旨.pdf","filesize":[{"value":"241.1 kB"}],"format":"application/pdf","licensetype":"license_11","mimetype":"application/pdf","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"],"pubdate":{"attribute_name":"公開日","attribute_value":"2010-02-22"},"publish_date":"2010-02-22","publish_status":"0","recid":"790","relation_version_is_last":true,"title":["Statistical analysis of plant ecological and worm ethological data - Some viewpoints of explanatory variables in base models -"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2023-06-20T16:11:42.505745+00:00"}