• 제목/요약/키워드: squared residuals

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Two Sample Test Procedures for Linear Rank Statistics for Garch Processes

  • Chandra S. Ajay;Vanualailai Jito;Raj Sushil D.
    • Communications for Statistical Applications and Methods
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    • 제12권3호
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    • pp.557-587
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    • 2005
  • This paper elucidates the limiting Gaussian distribution of a class of rank order statistics {$T_N$} for two sample problem pertaining to empirical processes of the squared residuals from two independent samples of GARCH processes. A distinctive feature is that, unlike the residuals of ARMA processes, the asymptotics of {$T_N$} depend on those of GARCH volatility estimators. Based on the asymptotics of {$T_N$}, we empirically assess the relative asymptotic efficiency and effect of the GARCH specification for some GARCH residual distributions. In contrast with the independent, identically distributed or ARMA settings, these studies illuminate some interesting features of GARCH residuals.

GAUSS DISCREPANCY TYPE MEASURE OF DEGREE OF RESIDUALS FROM SYMMETRY FOR SQUARE CONTINGENCY TABLES

  • Tomizawa, Sadao;Murata, Mariko
    • Journal of the Korean Statistical Society
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    • 제21권1호
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    • pp.59-69
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    • 1992
  • A measure is proposed to represent the degree of residuals from the symmetry model for square contingency tables with nominal categories. The measure is derivedby modifying the sum of squared singular values for a skew symmetric matrix of the residuals from the symmetry model. The proposed measure would be useful for comparing the degree of residuals from the symmetry model in several tables.

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점프크기추정량에 의한 수정된 로그잔차를 이용한 불연속 로그분산함수의 추정 (Discontinuous log-variance function estimation with log-residuals adjusted by an estimator of jump size)

  • 홍혜선;허집
    • 응용통계연구
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    • 제30권2호
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    • pp.259-269
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    • 2017
  • 분산함수가 불연속점을 가지는 경우, 대부분의 비모수적 함수 추정 연구에서 분산함수가 음수 값을 갖지 않기에 잔차제곱을 이용한 Nadaraya-Watson 추정량인 국소상수항추정량을 이용하였다. 한편, Huh (2014, 2016a)는 Chen 등 (2009)과 Yu와 Jones (2004)의 연구를 바탕으로 불연속 분산함수를 로그 변환한 로그분산함수를 추정 대상으로 삼아 잔차제곱이나 로그잔차제곱으로 경계점 문제를 가지지 않는 국소선형추정량을 이용하여 비모수적으로 추정하였다. Huh (2016b)는 불연속점에서 점프크기추정량을 활용하여 잔차제곱을 분산함수가 연속인 회귀모형에서 얻어진 잔차제곱인 것처럼 수정한 후 이들을 이용하여 불연속 분산함수의 추정을 연구하였다. 본 연구에서는 불연속 로그분산함수의 점프크기추정량을 이용하여 로그잔차제곱을 수정하고 불연속 로그분산함수를 국소선형추정량을 이용하여 추정하고자 한다. 제안된 추정량의 우수성을 모의실험을 통하여 Chen 등 (2009)의 로그분산함수 추정량을 이용한 Huh (2014)의 불연속 로그분산함수 추정량과 비교하고 실제자료에 적용하고자 한다.

A Simultaneous Test for Multivariate Normality and Independence with Application to Univariate Residuals

  • Park, Cheol-Yong
    • Journal of the Korean Data and Information Science Society
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    • 제17권1호
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    • pp.115-122
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    • 2006
  • A test is suggested for detecting deviations from both multivariate normality and independence. This test can be used for assessing the normality and independence of univariate time series residuals. We derive the limiting distribution of the test statistic and a simulation study is conducted to study the accuracy of the limiting distribution in finite samples. Finally, we apply our method to a real data of time series.

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A Simple Nonparametric Test of Complete Independence

  • Park, Cheol-Yong
    • Communications for Statistical Applications and Methods
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    • 제5권2호
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    • pp.411-416
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    • 1998
  • A simple nonparametric test of complete or total independence is suggested for continuous multivariate distributions. This procedure first discretizes the original variables based on their order statistics, and then tests the hypothesis of complete independence for the resulting contingency table. Under the hypothesis of independence, the chi-squared test statistic has an asymptotic chi-squared distribution. We present a simulation study to illustrate the accuracy in finite samples of the limiting distribution of the test statistic. We compare our method to another nonparametric test of complete independence via a simulation study. Finally, we apply our method to the residuals from a real data set.

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A Study on the Least Squared Estimator of Autoregressive Models when Consecutive Missing Observations Exist

  • Ryu, Gui-Yeol
    • Communications for Statistical Applications and Methods
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    • 제3권3호
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    • pp.59-74
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    • 1996
  • The properties of the residuals are investigated when K-consecutive observations are interpolated. The central limit theorem is also proved for the LSE for autoregressive parameters when $\kappa4--consecutive observations are contaminated. The performance of the interpolated LSE in small samples is investigated by simulation. And the interpolated with the Yule-Walker type estimator.

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불연속 로그분산함수의 커널추정량들의 비교 연구 (Comparison study on kernel type estimators of discontinuous log-variance)

  • 허집
    • Journal of the Korean Data and Information Science Society
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    • 제25권1호
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    • pp.87-95
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    • 2014
  • 분산함수가 불연속인 경우 Kang과 Huh (2006)는 잔차제곱을 이용한 Nadaraya-Watson 추정량으로 분산함수를 추정하였다. 음의 실수 값도 가질 수 있는 로그분산함수를 추정 대상으로 하여, 오차제곱의 분포를 ${\chi}^2$-분포로 가정하고 국소선형적합을 이용한 불연속 로그분산함수의 추정이 Huh(2013)에 의해 연구되었다. Chen 등 (2009)은 연속인 로그분산함수를 로그잔차제곱을 이용한 국소선형적합으로 추정하였다. 본 연구는 Chen 등의 추정법을 이용하여 불연속인 로그분산함수의 추정량을 제시하였다. 기존의 제안된 불연속인 로그분산함수의 추정량들과 제안된 추정량을 모의실험을 통하여 비교연구하고자 한다. 한편, 로그분산함수가 연속이지만 그 미분된 함수가 불연속일 경우, Huh (2013)의 방법과 제안된 방법으로 적합된 국소선형의 기울기를 이용하여 불연속인 미분된 로그 분산함수의 추정량을 제시하고자 한다. 이들 추정량의 비교 연구 또한 모의실험을 통하여 제시하고자 한다.

강소성 변형 해석을 위한 최소 제곱 무요소법 (The Least-Squares Meshfree Method for the Analysis of Rigid-Plastic Deformation)

  • 윤성기;권기찬
    • 대한기계학회논문집A
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    • 제28권12호
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    • pp.2019-2031
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    • 2004
  • The least-squares formulation for rigid-plasticity based on J$_2$-flow rule and infinitesimal theory and its meshfree implementation using moving least-squares approximation are proposed. In the least-squares formulation the squared residuals of the constitutive and equilibrium equations are minimized. Those residuals are represented in a form of first-order differential system using the velocity and stress components as independent variables. For the enforcement of the boundary and frictional contact conditions, penalty scheme is employed. Also the reshaping of nodal supports is introduced to avoid the difficulties due to the severe local deformation near the contact interface. The proposed least-squares meshfree method does not require any structure of extrinsic cells during the whole process of analysis. Through some numerical examples of metal forming processes, the validity and effectiveness of the method are investigated.

PRELIMINARY DETECTION FOR ARCH-TYPE HETEROSCEDASTICITY IN A NONPARAMETRIC TIME SERIES REGRESSION MODEL

  • HWANG S. Y.;PARK CHEOLYONG;KIM TAE YOON;PARK BYEONG U.;LEE Y. K.
    • Journal of the Korean Statistical Society
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    • 제34권2호
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    • pp.161-172
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    • 2005
  • In this paper a nonparametric method is proposed for detecting conditionally heteroscedastic errors in a nonparametric time series regression model where the observation points are equally spaced on [0,1]. It turns out that the first-order sample autocorrelation of the squared residuals from the kernel regression estimates provides essential information. Illustrative simulation study is presented for diverse errors such as ARCH(1), GARCH(1,1) and threshold-ARCH(1) models.

미숙아의 장관영양 시 위 잔류 확인의 유용성 평가 (The Usefulness of the Evaluation of Gastric Residuals in Premature Infants)

  • 이경민;최수정
    • 중환자간호학회지
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    • 제12권3호
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    • pp.74-83
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    • 2019
  • Purpose : The routine evaluation of gastric residuals (RGR) is considered standard care for premature infants. This study evaluated the usefulness of RGR in premature infants. Methods : The study retrospectively investigated 208 premature infants (gestational aged under 34 weeks) who underwent gavage feeding in a neonatal intensive care unit at a tertiary hospital. The patients were divided into two groups: RGR (n=104) and no-RGR (n=104). Those in the no-RGR group had their gastric residuals checked only if signs of feeding intolerance were present. Clinical outcomes, including the time to reach full enteral feeding (FEF) and the incidences of gastrointestinal disorders such as feeding intolerance (FI) and necrotizing enterocolitis (NEC), were compared. Data were analyzed with SPSS ver. 21, using a Mann-Whitney U test, chi-squared test, and Fisher's exact test. Results : There was no statistically significant difference for the time to FEF (z=-0.61, p=.541), incidence of FI ($X^2=0.38$, p=.540), and NEC ($X^2=1.42$, p=.234) between the two groups. Conclusion : No-RGR did not increase the risk for FI or NEC. These results suggest that RGR evaluation may not improve nutritional outcomes in premature infants. Recommendations for further research and practice guidelines will be provided.