ＲＭＳ誤差と確率誤差の関係
書誌事項
- タイトル別名
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- Relationshio between Root Mean Square Error and Probable Error.
説明
The relationship between Root Mean Square (RMS) error and probable error was investigated under the condition of normal distribution with independent x, y and z error components. In the ideal case of no bias and equal standard deviations (in the case of two or three dimensions), the ratios of 90% probable error to RMS error are 1.645 (one dimensional normal distribution), 2.144 (two dimension) and 2.333 (three dimension) . Similarly the ratios for 50% probable error are 0.674 (one dimension), 1.177 (two dimension) and 1.500 (three dimension) . The bias within one standard deviation causes the variation of the ratio of 90% probable error to RMS error by the value of 0.0295 (2% of the above ratio) in one dimensional case, 0.0433 (2%) in two dimensional case, and 0.1771 (8%) in three dimensional case. Similarly, the different values of standard deviation within 2 times each other causes the variation of the ratios of 90% probable error to RMS error by the value within 0.3104 (14% of the above ratio) in two dimensional case and 0.2404 (10%) in three dimensional case.
収録刊行物
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- 写真測量とリモートセンシング
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写真測量とリモートセンシング 33 (4), 15-22, 1994
一般社団法人 日本写真測量学会
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詳細情報 詳細情報について
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- CRID
- 1390282679054724096
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- NII論文ID
- 130004371748
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- ISSN
- 18839061
- 02855844
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可
