TWO ESTIMATED SNOW LOAD CURVES AND THE BOOTSTRAP SIGNIFICANCE TEST

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概要

• 論文の詳細を見る

• A new statistical hypothesis testing method is proposed for testing the equality of two curves. The overall difference between two curves is expressed as the difference of areas under the two curves. We adopt the area-difference as a test statistic whose sampling distribution is approximated by two kinds of bootstrap methods; resampling from the centered residuals and from the original paired data. Applying this method to several snow load datasets, we examine the validity of the snow load curve proposed by Matsushita and Izumi (1956) in architecture. This is done by comparing the curve with the one which is obtained by applying the least squares method to the logarithmic transformed data.

• 日本計算機統計学会の論文

著者

• Taguri Masaaki

  Faculty Of Science Chiba University

• Sakurai Hirohito

  Graduate School of Science and Technology, Chiba University

• Ishiduka Masaki

  Hitachi Government and Public Corporation System Engineering Ltd.

• Sakurai Hirohito

  Graduate School Of Science And Technology Chiba University

関連論文

• TWO ESTIMATED SNOW LOAD CURVES AND THE BOOTSTRAP SIGNIFICANCE TEST

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