関連する実験動画

Updated: Sep 10, 2025

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

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ランダムなデータがない部分線形モデルの統一推定方法

Yang Zhao1

  • 1Department of Mathematics and Statistics, University of Regina, Regina, Saskatchewan, Canada.

Biometrical journal. Biometrische Zeitschrift
|August 27, 2025
PubMed
まとめ

この研究では,欠けているデータを持つ部分的に線形モデルを推定するための新しい方法が導入されています. このアプローチは推定効率を向上させ,複雑なデータパターンを欠いた場合でも堅牢です.

キーワード:
ランダムに消えた単調でない欠落パターン部分的に線形な作業モデルローカル・リニア・カーネル・メソッド

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