Sains Malaysiana 34(1): 119-123 (2005)
A Multivariate Measure of Dispersion and its Limiting Distribution
(Ukuran Multivariat bagi Dispersi dan Hal Taburannya)
Suwanda bin Idris
Department of Mathematics
Institut Teknologi Bandung JI. Ganesha 10
Bandung 40132, Indonesia
ABSTRAK
Jumlah Varians dan Varians Teritlak kebiasaannya digunakan sebagai ukuran dispersi multivariate. Namun begitu, kedua-dua statistik ini mempunyai beberapa kelemahan. Dalam tulisan ini akan dicadankgan satu ukuran dispersi multivariate yang baru, dikenali sebagai varians bervektor (VV) yang merupakan suatu hasil darab terkedalam bagi set pengoperasi yang tertakrif ke atas suatu ruang Hilbert-Smith. Oleh kerana taburan pensampilan tepat dari statistik vv tersebut sangat sukar untuk ditentukan, maka taburan pensampilan asimtot telah diperolehi.
ABSTRACT
Total Variance (TV) and Generalized Variance (GV) are commonly used as a measure multivariate dispersion. However, these two statistics has some drawbacks. This paper proposes a new measure of multivariate dispersion, named Vectorial Variance (VV) an inner product for set of operators defined on a Hilbert-Smith space. Since, the exact sampling distribution of VV is difficult to find, therefore the asymptotic sampling distribution is obtained.
RUJUKAN/REFERENCES
Anderson, T.W. 1984. An Introduction to Multivariate Statistical Analysis. New York: Wiley.
Djauhari, M.A. 2002. Newsletter, Data Analysis Research Group, Dept. of Math. ITB.
Escoufier, Y. 1977. Operators Related to a Data Matrix. Recent Developments in Statistics. Nort-Holand Publ.Comp.
Lazraq, A. & Cleroux, R. 1992. Test D'Homogeneite Entre Indices De Redondance Pour Des Lois Elliptiques.statistitique Appliquee XXXX (3): 19-33.
Mardia, K.Y., Kent, J.T. & Bibby, J.M. 1979. Multivariate Analysis, London: Academic Press Inc. Ltd.
Marsden, J.E. & Tromba, A.I, 1996. Vector Calculus, 4th Edition, New York: EW.H. Freeman and Company.
Montgomery, D.C. 2001. Introduction to Statistical Quality Control, 4th Edition. New York: John Wiley & Sons.
Muirhead, R.I. 1982. Aspect of Multivariate Statistical Theory. New York: Wiley.
Pena, D. & Rodriguez, J. 2000. Descriptive Measures of Multivariate Scatter and LinearDependence http:// halweb. uc3 m. es/ esp/Personal/pe rsonas/dpena/articles/ JMVA03.PDF
Press, S.J. 1972. Applied Multivariate Analysis. Chicago: Holt, Rinehart and Winston.
Serfling, R.I. 1980. Approximation Theorems of Mathematical Statistics. New York: Wiley.
Wilks, S. S. 1963. Multivariate statistical outliers. Sankhya 25: 407-426
|