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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/790f0bc040ea0f2407d90ccf09ebdaf9af6
名前 / ファイル  ライセンス  アクション 

要旨・審査要旨 (241.1 kB)

Item type  学位論文 / Thesis or Dissertation(1)  

公開日  20100222  
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  
タイトル  Statistical analysis of plant ecological and worm ethological data  Some viewpoints of explanatory variables in base models   
言語  en  
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  20080930  
学位授与年度  
値  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 leastsquare 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 (2nonanone) 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 