A NON-STUDENT DISTRIBUTION OF JACK-KNIFE RESIDUALS AND IDENTIFICATION OF OUTLIERS

Authors

  • G.S. David Sam Jayakumar Jamal Institute of Management, Tiruchirappalli, India,
  • A. Sulthan Jamal Institute of Management, Tiruchirappalli, India,

Keywords:

Jack Knife Residuals, External Studentized Residual, Outliers, T-Ratio, F- Ratio, Moments, Critical Points.

Abstract

This paper proposes the exact distribution of Jack-Knife residual which is formally called as external studentized residual and used to evaluate the outliers in linear multiple regression analysis. The authors have proved that the Jackknife residuals do not follow student’s t-distribution and they have explored the relationship among Jack-Knife residual, t-ratio and F- ratio and have expressed the derived density function of the residual in terms of series expression form. Moreover, the new form of the distribution is symmetric, first two moments of the distribution are derived and the authors have computed the critical points of Jack Knife residual at 5% and 1% level of significance and for varying sample sizes and predictors. Finally, the numerical example shows that the results extracted from the proposed approach and classical approach are similar even though the proposed distribution of the Jackknife residuals is different.

Downloads

Download data is not yet available.

References

Ali S. Hadi (1992). A new measure of overall potential influence in linear

regression, Computational Statistics & Data Analysis, 14(1), p. 1-27.

Behnken, D. W. and Draper, N. R. (1972). Residuals and their tariance

patterns, Technometrics, 14, p. 101-111.

Belsley, D.A., Kuh, E. and Welsch, R.E. (1980). Regression Diagnostics:

Identifying Influential Data and Sources of Collinearity, Wiley, New York.

Cook, R.D. (1977). Detection of influential observation in linear regression,

Technometrics, 19, p. 15-18.

Chatterjee, S. and Hadi, A. S. (1988). Sensitivity Analysis in Linear

Regression, New York: John Wiley and Sons.

Cook, R. D. and Weisberg, S. (1982). Residuals and Influence in Regression,

Vol. 5, New York: Chapman and Hall.

Davies, R. B. and Hutton, B. (1975). The effects of errors in the independent

variables in linear regression, Biometrika, 62, p. 383-391.

Dı́az-Garcı́a, J. A., and González-Farı́as, G. (2004). A note on the Cook's

distance, Journal of Statistical Planning and Inference, 120(1), p. 119-136.

Eubank, R.L(1985). Diagnostics for smoothing splines, J. Roy. Statist. Soc.

Ser. B, 47, p. 332–341.

Hoaglin, D.C, and Welsch, R.E. (1978). The Hat matrix in regression and

ANOVA, The Amer. Statist., 32, p. 17-22.

Huber, P. J. (1975). Robustness and Designs, in A Survey of Statistical Design

and Linear Models. North-Holland, Amsterdam.

Kendall, M.G., Stuart, A. (1973). The Advanced Theory of Statistics, Volume

: Inference and Relationship, Griffin

Kim, C. (1996). Cook’s distance in spline smoothing, Statist. Probab. Lett., 31,

p. 139–144.

Kim, C. and Kim, W. (1998). Some diagnostics results in nonparametric

density estimation, Comm. Statist., Theory Methods, 27, p. 291–303.

Kim, C., Lee, Y. and Park, B.U. (2001). Cook’s distance in local polynomial

regression, Statist. Probab. Lett., 54, p. 33–40.

Lund, R. E. (1975). Tables for an approximate test for outliers in linear

models, Technometrics, 17, p. 473-476.

Silverman, B.W. (1985). Some aspects of the spline smoothing approach to

non-parametric regression curve fitting (with discussion), J. Roy. Statist. Soc.

Ser. B 47, p. 1–52.

Thomas, W (1991). Influence diagnostics for the cross-validated smoothing

parameter in spline smoothing, J. Amer. Statist. Assoc., 86, p. 693–698.

Weisberg, S. (1980). Applied linear regression, New York: Wiley.

Downloads

Published

2015-12-01

How to Cite

Jayakumar , G. D. S. ., & Sulthan, A. . (2015). A NON-STUDENT DISTRIBUTION OF JACK-KNIFE RESIDUALS AND IDENTIFICATION OF OUTLIERS. Journal of Reliability and Statistical Studies, 8(02), 77–96. Retrieved from https://journals.riverpublishers.com/index.php/JRSS/article/view/21051

Issue

Section

Articles