著者
小林 和夫
出版者
Japan Society of Photogrammetry and Remote Sensing
雑誌
写真測量とリモートセンシング (ISSN:02855844)
巻号頁・発行日
vol.30, no.3, pp.42-48, 1991-07-10 (Released:2010-03-19)
参考文献数
4

We have been provided confusion to some extent by several explanations of dissimilar meanings with respect to a scientif ical terminology.This paper shows a semantic problem concerning stochastic error term stood for “mean square error” (MSE) which does not exhibit only “root of mean of squared errors” in surveying and photogrammetry, but also indicates “average of squared errors” (or residuals) in statistics.Therefore, it is highly recommended even in surveying and photogrammetry that precision and accuracy illustrated a dispersion and an extent of measurements, respectively, should be utilized variance and MSE (square of “RMS” (root mean square) error) which can be obtained with sum of squared differences between measurements and most probable parameter (or true value), divided by number of observations, or redundancy of them. Similarly, definition of “MSE” in statistics makes variance added to squared bias (systematic error) .

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極秘業務からようやく開放されて自分の仕事.地理学会の発表準備をしたりJ-ARCnet関係助成金の報告書を書いたり.学会発表は多摩川Hagibis洪水ネタでJ-ARC関係はGeoidネタ,と異なるのだけど,測量誤差に関する共通の問題がある.今日教えてもらった論文で随分理解が進んだ.https://t.co/akwNNJ6Qun

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