Forest Stand Growth Analysis Based on Irregular Statistical Models

• Ninomiya Y.

  九州大学大学院数理学研究院

• Yanagihara H.

  広島大学大学院理学研究科

• Yoshimoto A.

  東北大学大学院環境科学研究科

Bibliographic Information

Other Title

• 非正則な統計モデルに基づく林分成長分析

Abstract

In growth analysis, irregular statistical models are needed to detect some property in a forest stand, such as thinning effect, self-thinning effect or difference of growth patterns. The irregular models do not permit to use usual statistical theory, and then, the properties of them were discussed by each problem. Recently, however, unified statistical theory for the irregular models has been developed. In this paper, some tests based on the locally conic model, which is representative irregular model, are elaborated. In addition, differences from usual tests are explained, and the need of the irregular models is investigated in growth analysis.

Journal

• FORMATH

  FORMATH 6 (0), 43-56, 2007

  FORMATH Research Society

Keywords

• change-point model
• forest planning
• growth analysis
• locally conic model
• mixture model

Details

• CRID: 1390285300162383104
• NII Article ID: 130007852355
• DOI: 10.15684/formath.06.005
• ISSN: 21885729
• Web Site: https://www.jstage.jst.go.jp/article/formath/6/0/6_06.005/_pdf
• Text Lang: ja
• Data Source:
  • JaLC
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed