• Title, Summary, Keyword: RMSE

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A Study on Error of Frequence Rainfall Estimates Using Random Variate (무작위변량을 이용한 강우빈도분석시 내외삽오차에 관한 연구)

  • Chai, Han Kyu;Eam, Ki Ok
    • Journal of Industrial Technology
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    • v.20 no.A
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    • pp.159-167
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    • 2000
  • In the study rainfall frequency analysis attemped the many specific property data record duration it is differance from occur to error-term and probability ditribution of concern manifest. error-term analysis of method are fact sample data using method in other hand it is not appear to be fault that sample data of number to be small random variates. Therefore, day-rainfall data: to randomicity consider of this study sample data to the Monte Carlo method by randomize after data recode duration of form was choice method which compared an assumed maternal distribution from splitting frequency analysis consequence. In the conclusion, frequency analysis of chuncheon region rainfall appeared samll RMSE to the Gamma II distribution. In the rainfall frequency analysis estimate RMSE using random variates great transform, RMSE is appear that return period increasing little by little RMSE incresed and data number incresing to RMSE decreseing.

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Efficiency of pairwise winning percentage estimators in Korean professional baseball (한국프로야구에서 쌍별 승률추정량의 효율성)

  • Lee, Jang Taek
    • Journal of the Korean Data and Information Science Society
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    • v.28 no.2
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    • pp.309-316
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    • 2017
  • In baseball, estimation of winning percentage is critical and many studies for this topic have been actively performed. Pairwise winning percentage estimation using Pythagorean winning percentages of individual teams against other individual teams has the property that the sum of estimated winning percentage totals must be a constant. In this paper, we consider two types of pairwise estimation including linear formula and Pythagorean formula to the Korean baseball data of seasons from 2013 to 2016 under the criterions of RMSE and MAD. In conclusion, pairwise Pythagorean methods have the smaller RMSE and MAD than traditional Pythagorean methods. We suggest the optimal pairwise Pythagorean formula with a fixed exponent. Also we show that there are very little differences of RMSE and MAD between variation in exponent values.

Actual Condition of Inconsistency at the Boundary Areas of Administrative Districts (행정구역 경계지역에서의 지적불부합지 실태분석)

  • Hong, Sung-Eon
    • Journal of Korean Society for Geospatial Information Science
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    • v.16 no.1
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    • pp.57-65
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    • 2008
  • This research is aimed at offering a fundamental data for the adjustment of cadastral inconsistency of administrative boundary areas from this time onward by analyzing actual conditions of cadastral inconsistency at the study areas by the use of digital topographic map and digital cadastral map of si-gun-gu boundary area. As a result of examining the actual condition of cadastral inconsistency at the surveyed areas, the extent of cadastral inconsistency of the neighboring administrative boundary areas was assessed as ${\pm}3.15m$ of RMSE on X coordinates and also assessed as ${\pm}2.85\;m$ of RMSE on Y coordinates; in addition, RMSE of the neighboring district of the administrative boundary areas on X coordinates was assessed as ${\pm}1.33\;m$, and ${\pm}0.75\;m$ of RMSE on Y coordinates respectively-thus, this research could suggest the fact that there has arisen a lot of cadastral inconsistency areas at administrative boundary areas.

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A Study on the Efficient Application for Cadastral Surveying of RTK-GPS (RTK-GPS의 지적측량에 효율적 적용 연구)

  • Hong, Sung-Eon;Lee, Woo-Hwa
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.13 no.1
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    • pp.59-65
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    • 2012
  • The study conducted the measurement of RTK-GPS with changing the number of observation as the method to differ reference stations of RTK-GPS. Also it aimed to suggest an effective application plan for cadastral surveying based on the accuracy analysis accordingly. According to the result of selecting the study region, observing with different reference stations, and comparing with previous TS performance, the 1st reference station was calculated as ${\pm}0.024m$ for x-coordinate's RMSE and ${\pm}0.029m$ for y-coordinate's RMSE, and the 2nd reference station was calculated as ${\pm}0.040m$ for x-coordinate's RMSE and ${\pm}0.029m$ for y-coordinate's RMSE. All these results (the 1st and the 2nd reference stations) are allowed as acceptable performance within the margin of error according to the existing cadastral regulations, and there was no significant difference between two performances. Therefore, unless there was no problem in receiving GPS satellite data, it would be possible to secure stable performance enough with 1 observation. Depending on surveying environment that has possible problems in receiving data, however, 2 or more observations would be necessary to secure stable performance.

Statistical analysis for RMSE of 3D space calibration using the DLT (DLT를 이용한 3차원 공간검증시 RMSE에 대한 통계학적 분석)

  • Lee, Hyun-Seob;Kim, Ky-Hyeung
    • Korean Journal of Sport Biomechanics
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    • v.13 no.1
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    • pp.1-12
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    • 2003
  • The purpose of this study was to design the method of 3D space calibration to reduce RMSE by statistical analysis when using the DLT algorithm and control frame. Control frame for 3D space calibration was consist of $1{\times}3{\times}2m$ and 162 contort points adhere to it. For calculate of 3D coordination used two methods about 2D coordination on image frame, 2D coordinate on each image frame and mean coordination. The methods of statistical analysis used one-way ANOVA and T-test. Significant level was ${\alpha}=.05$. The compose of methods for reduce RMSE were as follow. 1. Use the control frame composed of 24-44 control points arranged equally. 2. When photographing, locate control frame to center of image plane(image frame) o. use the lens of a few distortion. 3. When calculate of 3D coordination, use mean of 2D coordinate obtainable from all image frames.

Calibration and Verification of HSPF Model for Total Maximum Daily Loads (오염총량관리를 위한 HSPF 모형의 보정과 검정)

  • Kim, Sang Min;Park, Seung Woo
    • Proceedings of the Korea Water Resources Association Conference
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    • pp.527-531
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    • 2004
  • 본 연구에서는 미국 환경청에서 개발하여 유역 오염총량관리를 위한 수질모형으로 이용되고 있는 HSPF 모형을 선정하여 발안 $HP\#6$ 시험유역을 내상으로 모형의 적용성을 분석하였다. HSPF 모형을 이용하여 $HP\#6$ 시험유역에서 모형의 보정기간인 1996년부터 1997년까지 유출량을 모의한 겉과, RMSE는 2.1mm, RMAE는 0.4mm, $R^2$는 0.92로 모의되었으며, 모형의 검정기간인 1999년부터 2000년의 모의 길과 RMSE는 6.03mm, RMAE는 0.49mm, $R^2$는 0.84로 모의되었다. 총질소에 대한 모형의 보정결과 RMSE는 0.086kg/ha/day, RMAE는 0.534kg/ha/day, $R^2$는 0.812로 나타났으며, 모형의 검정결과 RMSE는 0.326kg/ha/day, RMAE는 0.708kg/ha/day, $R^2$는 0.427로 분석되었다. 총인에 대한 모형의 보정결과 RMSE는 0.0117 kg/ha/day, RMAE는 0.622kg/ha/day, $R^2$는 0.70으로 모의되었으며, 모형의 검정결과 RMSE는 0.063kg/ha/day, RMAE는 2.269kg/ha/day, $R^2$는 0.756으로 분석되었다.

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Sensitivity Analysis for Operation a Reservoir System to Hydrologic Forecast Accuracy (수문학적 예측의 정확도에 따른 저수지 시스템 운영의 민감도 분석)

  • Kim, Yeong-O
    • Journal of Korea Water Resources Association
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    • v.31 no.6
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    • pp.855-862
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    • 1998
  • This paper investigates the impact of the forecast error on performance of a reservoir system for hydropower production. Forecast error is measured as th Root Mean Square Error (RMSE) and parametrically varied within a Generalized Maintenance Of Variance Extension (GMOVE) procedure. A set of transition probabilities are calculated as a function of the RMSE of the GMOVE procedure and then incorporated into a Bayesian Stochastic Dynamic Programming model which derives monthly operating policies and assesses their performance. As a case study, the proposed methodology is applied to the Skagit Hydropower System (SHS) in Washington state. The results show that the system performance is a nonlinear function of RMSE and therefor suggested that continued improvements in the current forecast accuracy correspond to gradually greater increase in performance of the SHS.

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Alternative Methods for Assessments of DEMs' Erros (DEM의 오차 평가 방법에 관한 연구)

  • Hwang, Chul-Sue
    • Journal of Korean Society for Geospatial Information Science
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    • v.7 no.2
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    • pp.23-34
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    • 1999
  • The most widely used measure for indicating the accuracy of DEM is RMSE(nut Mean Square Error), which is used by many national mapping agencies such as the USGS and the Ordnance Survey. Its prevalent use can be followed by the relative ease of calculation and understanding the concepts. However, there are many problems with the measure and the way from which it is often derived. First of all, the index does not involve my description of the mean donation between the two measures of elevation,. This means that it cannot interpret the distributions or patterns of errors involved in DEMs. The distribution of errors in DEMs will show some forms of spatial patterning. In order to explore the real quality of DEMs as a useful database, alternative approaches are needed. In this paper, we examined so called ESDA(Exploratory Spatial Data Analysis) approaches, which were attributed by both aspatial and spatial exploration methods. Our experimental research shows that even simple ESDA methods reveal new aspects of errors, especially spikes, striation, and terracing effect in DEMs, which my be ignored by RMSE measure.

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Study of Stochastic Techniques for Runoff Forecasting Accuracy in Gongju basin (추계학적 기법을 통한 공주지점 유출예측 연구)

  • Ahn, Jung Min;Hur, Young Teck;Hwang, Man Ha;Cheon, Geun Ho
    • Journal of The Korean Society of Civil Engineers
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    • v.31 no.1B
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    • pp.21-27
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    • 2011
  • When execute runoff forecasting, can not remove perfectly uncertainty of forecasting results. But, reduce uncertainty by various techniques analysis. This study applied various forecasting techniques for runoff prediction's accuracy elevation in Gongju basin. statics techniques is ESP, Period Average & Moving average, Exponential Smoothing, Winters, Auto regressive moving average process. Authoritativeness estimation with results of runoff forecasting by each techniques used MAE (Mean Absolute Error), RMSE (Root Mean Squared Error), RRMSE (Relative Root Mean Squared Error), Mean Absolute Percentage Error (MAPE), TIC (Theil Inequality Coefficient). Result that use MAE, RMSE, RRMSE, MAPE, TIC and confirm improvement effect of runoff forecasting, ESP techniques than the others displayed the best result.

The development of statistical methods for retrieving MODIS missing data: Mean bias, regressions analysis and local variation method (MODIS 손실 자료 복원을 위한 통계적 방법 개발: 평균 편차 방법, 회귀 분석 방법과 지역 변동 방법)

  • Kim, Min Wook;Yi, Jonghyuk;Park, Yeon Gu;Song, Junghyun
    • Journal of Satellite, Information and Communications
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    • v.11 no.4
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    • pp.94-101
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    • 2016
  • Satellite data for remote sensing technology has limitations, especially with visible range sensor, cloud and/or other environmental factors cause missing data. In this study, using land surface temperature data from the MODerate resolution Imaging Spectro-radiometer(MODIS), we developed retrieving methods for satellite missing data and developed three methods; mean bias, regression analysis and local variation method. These methods used the previous day data as reference data. In order to validate these methods, we selected a specific measurement ratio using artificial missing data from 2014 to 2015. The local variation method showed low accuracy with root mean square error(RMSE) more than 2 K in some cases, and the regression analysis method showed reliable results in most cases with small RMSE values, 1.13 K, approximately. RMSE with the mean bias method was similar to RMSE with the regression analysis method, 1.32 K, approximately.