臺灣博碩士論文加值系統

本文提出偏斜度之經驗估計式及核估計式並做大小樣本之比較.

In this paper, we present empirical and kernel estimators of skewness of a distribution. We find some large and small sample behaviors of these two estimators.

中文摘要 i
英文摘要 ii
誌謝 iii
目錄 iv
第一節 簡介 1
第二節 動差之經驗估計式及核估計式之中央極限定理 4
第三節 偏斜度之經驗估計式及核估計式之中央極限定理 17
第四節 小樣本比較 21
第五節 結論 24
參考文獻 25
附錄一 26
附錄二 31
附錄三 34

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[3] Y.S. Chow and H. Teicher (1997). Probability Theory. 3rd ed. Springer.

[4] R.V. Hogg and A.T. Craig (1995). Introduction to Mathematical Statistics. 5th ed. Prentice Hall.

[5] E.L. Lehmann and G.Casella (1998). Theory of Point Estimation. 2nded. Springer.

[6] A.M.Mood , F.A.Graybill and D.C.Bose (1974). Introduction to the Theory of Statitics . 3rd ed. McGraw-Hill.

[7] B.L.S. Prakasa Rao (1983). Nonparametric Functional Estimation. Academic Press.