• Title/Summary/Keyword: Least squares fit

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PROJECTION ALGORITHMS WITH CORRECTION

  • Nicola, Aurelian;Popa, Constantin;Rude, Ulrich
    • Journal of applied mathematics & informatics
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    • v.29 no.3_4
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    • pp.697-712
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    • 2011
  • We present in this paper two versions of a general correction procedure applied to a classical linear iterative method. This gives us the possibility, under certain assumptions, to obtain an extension of it to inconsistent linear least-squares problems. We prove that some well known extended projection type algorithms from image reconstruction in computerized tomography fit into one or the other of these general versions and are derived as particular cases of them. We also present some numerical experiments on two phantoms widely used in image reconstruction literature. The experiments show the importance of these extension procedures, reflected in the quality of reconstructed images.

A Study on the Determination of Point Probability Rainfall-Depth in Korea by the LinearLeast Squares method (Seoul, Daegu and Mokpo) (회귀선에 의한 국내 지점 확률항우량산정에 관한 연구 (서울, 대구, 목포 지점을 중심으로))

  • 이원환;김재한
    • Water for future
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    • v.9 no.1
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    • pp.81-85
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    • 1976
  • This study is tried to determine the probability rainfall-depth of Seoul, Daegu and Mokpo easily by using a regression line. The correlation between the probability rainfalldepth of each duration from 10-minute to 120-minute and return period is derived so as to become the linear least squares curve fit, and the analytical method that the probability rainfall-depth about the given duration is able to be gotten directory on it is studied. In this research, fair correlation among them is shown, and when the variables are transformed suitably, the application of this method to other points besides three cities are considered to be possible.

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Development of the 1st-Order Similarity Measure and the 2nd-Order Similarity Measure Based on the Least-Squares Method (최소 자승법에 의한 1차 유사도 및 2차 유사도의 개발)

  • 강환일;석민수
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.20 no.6
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    • pp.23-28
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    • 1983
  • Two measures of similarity between contours, the 1 st-order similarity measure and the 2nd-order similarity measure are proposed. They are based on the residual errors of the least squares fit. In particular, the 2nd-order similarity measure has a good reliability with respect to contours of many variations such as imperfection, affine transform or combination of these properties. By taking experiments of aircraft identification and recognition we show that in the matching performance the 2nd -order similarity measure is superior not only to the 1 st-order similarity measure but also to the previous matching techniques.

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Molecular modeling of COX-2 inhibitors: 3D-QSAR and docking studies

  • Kim, Hye-Jung;Chae, Chong-Hak;Yoo, Sung-Eun;Yi, Kyu-Yang;Park, Kyung-Lae
    • Proceedings of the PSK Conference
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    • 2003.10b
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    • pp.65.2-65.2
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    • 2003
  • 88 selective COX-2 inhibitors belonging to three chemical classes (triaryl rings, diaryl cycloalkanopyrazoles, and diphenyl hydrazides) were studied using comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA). Partial least squares analysis produced statistically significant models with q values of 0.84 and 0.79 for CoMFA and CoMSIA, respectively. The key spatial properties were detected by careful analysis of the isocontour maps. The binding energies calculated from flexible docking correlated with inhibitory activities by the least-squares fit method. (omitted)

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A Comparision on CERES & Robust-CERES

  • Oh, Kwang-Sik;Do, Soo-Hee;Kim, Dae-Hak
    • 한국데이터정보과학회:학술대회논문집
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    • 2003.10a
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    • pp.93-100
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    • 2003
  • It is necessary to check the curvature of selected covariates in regression diagnostics. There are various graphical methods using residual plots based on least squares fitting. The sensitivity of LS fitting to outliers can distort their residuals, making the identification of the unknown function difficult to impossible. In this paper, we compare combining conditional expectation and residual plots(CERES Plots) between least square fit and robust fits using Huber M-estimator. Robust CERES will be far less distorted than their LS counterparts in the presence of outliers and hence, will be more useful in identifying the unknown function.

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Comparison of Analytical Bond Models between Reinforcement and Concrete (보강근과 콘크리트 사이의 해석적 부착모델 비교)

  • You Young Jun;Park Ji Sun;Park Young Hwan;Kim Hyeong Yeol;You Young Chan;Kim Keung Hwan
    • Proceedings of the Korea Concrete Institute Conference
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    • 2005.11a
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    • pp.33-36
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    • 2005
  • This paper presents the comparison of the goodness-of-fit test of analytical bond models between concrete and steel or GFRP reinforcements. Bond test specimens were made by the CSA code and the rebars used in the test were steel and two kinds of GFRP rebar commercially utilized. The comparison of goodness-of-fit test for existing bond models and new proposed bond model was carried out by the least squares method. The result indicates that the new proposed bond model has better goodness-of-fit test than the existing ones.

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Consistency of a Modified W Test for Exponentiality

  • Kim, Namhyun
    • Communications for Statistical Applications and Methods
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    • v.9 no.3
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    • pp.629-637
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    • 2002
  • Shapiro and Wilk(1972) developed a test for exponentiality with origin and scale unknown. The procedure consists of comparing the generalized least squares estimate of scale with the estimate of scale given by the sample variance. However the test based on the statistic is inconsistent Kim(2001a) proposed a modified Shapiro-Wilk's test statistic using the ratio of two asymptotically efficient estimators of scale. In this paper, we study the consistency of the proposed test.

Calibration of Parameters in QUAL2E using the Least-squares Method (최소지승법에 의한 QUAL2E 모델 반응계수 보정)

  • Kim, Kyung-Sub;Yoon, Dong-Gu;Lee, Gi-Young
    • Journal of Korea Water Resources Association
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    • v.37 no.9
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    • pp.719-727
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    • 2004
  • Water quality models can be applied to manage the regional water quality problems and to estimate the target and allowable pollution load in watershed effectively. The optimization of state variables in the given water quality model Is necessary to build up more effective model. The least-squares method is applied to fit field observations in QUAL2E developed by U.S. EPA, which is most widely used one in the world to simulate the stream water quality, and the optimization model with constraints is constructed to estimate the parameters. The objective function of the optimization model is solved by Solver in Microsoft Excel and Monte Carlo simulation is conducted to know the influence of parameter in conventional pollutants. It is found that this technique is easily implemented and rapidly convergent computational procedure to calibrate the parameters after appling this approach in Anyang stream located in Kyonggi province mainly.

Studies on the Resistivity Inversion -1. Automatic Interpretation of Electrical Resistivity Sounding Data- (비저항반전(比抵抗反轉)에 관한 연구(硏究) (1. 전기비저항수직탐사(電氣比抵抗垂直探査) 데이터의 자동해석(自動解析)))

  • Kim, Hee Joon
    • Economic and Environmental Geology
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    • v.14 no.3
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    • pp.193-201
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    • 1981
  • The problem of automatic inversion of apparent resistivity sounding curves resulting from horizontally layered earth models is solved using the least-squares technique. This method, which makes use of damped least-squares algorithm in conjunction with digital filtering technique, is found to be speedier and more accurate than the conventional curve-matching method. Four sounding curves were chosen to test the inversion scheme. The analysis of the theoretical sounding data associated with a three-layer model illustrates clear advantages over the conventional curve-matching method. The usefulness of the inversion method is also shown when applied to the actual field data. It was found that the best fit earth models coincide with the subsurface structures confirmed by drilling.

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Longevity Bond Pricing by a Cohort-based Stochastic Mortality (코호트 사망률을 이용한 장수채권 가격산출)

  • Jho, Jae Hoon;Lee, Kangsoo
    • The Korean Journal of Applied Statistics
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    • v.28 no.4
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    • pp.703-719
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    • 2015
  • We propose an extension of the Lee and Jho (2015) mean reverting the two factor mortality model by incorporating a period-specific cohort effect. We found that the consideration of cohort effect improves the mortality fit of Korea male data above age 65. Parameters are estimated by the weighted least squares method and Metropolis algorithm. We also emphasize that the cohort effect is necessary to choose the base survival index to calculate longevity bond issue price. A key contribution of the article is the proposal and development of a method to calculate the longevity bond price to hedge the longevity risk exposed to Korea National Pension Services.