| 研究生: |
吳江名 |
|---|---|
| 論文名稱: |
分配函數關聯性之研究 無 |
| 指導教授: | 鄭堯柈 |
| 學位類別: |
碩士
Master |
| 系所名稱: |
商學院 - 統計學系 Department of Statistics |
| 論文出版年: | 1982 |
| 畢業學年度: | 70 |
| 語文別: | 中文 |
| 論文頁數: | 467 |
| 中文關鍵詞: | 無 |
| 相關次數: | 點閱:91 下載:0 |
| 分享至: |
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論文提要
本文主要在探討各種分配函數之間關聯性,而討論的分配主要的計有二項、常態、……等三十種分配,而次要的分配加起來總共約有一百種之多。全文共分六章約十五萬餘言。首章為緒論,說明本人研究此一題目的動機、目的、方法以及所遭遇的限制等等,並將本文的架構以及各章節的安排情形作一簡單的說明。
第二章起至第五章止為本文的重心所在。首先于第二章內由次數曲線的觀點來探討各種分配函數之間的關係,接著于第三、第四及第五章中則分別探討離散、連續及抽樣分配函數之間的各種關聯性,最後則于第六章內作一結論並說明如何應用這些分配函數之間的關聯性以解決有關統計上的各種問題。
特別值得一提的是本文中定義了兩個新的分配函數—正弦分配及餘弦分配,有關其性質及與其他分配之間的關係在第四章之第八節詳述。此節亦是本文的研究重心之一。此外,本人亦於第六章結論之中定義了分配函數之間的”大小關係“使得各種分配函數在此一定義之下,吾人可以兩兩且較期間的大小關係,此亦為本文之新的嘗試,尚祈統計界的先進及前輩們多多指教。
目錄
謝辭
論文提要
第一章 緒論1
第一節 研究動機1
第二節 研究目的3
第三節 研究方法及其限制4
第二章 通論──皮爾生分配體系與各種分配函數之關係7
第一節 皮爾生分配體系與連續分配之關係8
第二節 皮爾生分配體系與離散分配之關係34
第三章 離散分配函數間之關聯性57
第一節 布瓦松分配與其他分配的關係57
第二節 二項分配與其他分配的關係80
第三節 負二項分配與其他分配的關係98
第四節 超幾何分配與其他分配的關係112
第五節 傳播分配與其他分配的關係123
第六節 其他的離散分配之間的關係133
第四章 連續分配函數間之關聯性152
第一節 常態分配與其他分配的關係153
第二節 等分配與其他分配的關係185
第三節 加馬分配與其他分配的關係193
第四節 指數分配與其他分配的關係206
第五節 貝他分配與其他分配的關係217
第六節 魏寶分配與其他分配的關係234
第七節 柯西分配與其他分配的關係242
第八節 正弦及餘弦分配與其他分配的關係256
第九節 其他的連續分配之間的關係288
第五章 抽樣分配函數間之關聯性342
第一節 卡方分配與其他分配的關係342
第二節 F分配與其他分配的關係353
第三節 t分配與其他分配的關係364
第四節 無心卡方分配與其他分配的關係373
第五節 無心F分配與其他分配的關係382
第六節 無心t分配與其他分配的關係394
第七節 其他的抽樣分配之間的關係402
第六章 結論419
第一節 應用419
第二節 結論429
附錄437
1.附錄甲 各種分配函數一覽表437
2.附錄乙 皮爾生次數曲線表443
3.附錄丙 按Craig分類標準之皮爾生次數曲線表445
4.附錄丁 各種分配函數之關係圖447
參考書刊448
圖表目錄
〔圖1〕皮爾生第一型分配略圖15
〔圖2〕(β₁,β₂)平面上之皮爾生分配體系全圖21
〔圖3〕歐德定義之離散分配體系全圖40
〔圖4〕在(X,Ux)平面上所得之各種離散分配散佈情形45
〔圖5〕按Craig分類標準之皮爾生分配體系圖51
〔圖6〕摺疊的常態分配圖178
〔圖7〕變數變換圖186
〔圖8〕柯西與等分配之關係圖191
〔圖9〕(β₁,β₂)平面上之SB,SL,SU系統分配圖293
〔表1〕皮爾生分配體系中各常數與動差間之關係表37
〔表2〕歐德定義之離散分配體系中之各種分配一覽表39
〔表3〕五種離散分配之C₀及C₁值一覽表44
〔表4〕五種分配之p.d.f及c.d.f.之比較表183
〔表5〕五種分配函數之數值表184
〔表6〕常態及餘弦分配之數值表286
參考書刊
壹、中文部份
〔1〕鄭堯柈(1977)數理統計學上冊,台北:自印。
〔2〕鄭堯柈(1964)基本分配函數及其相互間的關係,中國統計學報,第二卷第二期,P.521-543。
〔3〕鄭堯柈(1965)樣本分配理論之研究,中國統計學報,第三卷第二期,P.929-950。
〔4〕鄧堯柈(1965)樣本分配理論之研究(續),中國統計學報,第三卷第三期,P.1003-1023。
〔5〕韋從序(1979)推理統計學,四版,台北:正中書局。
〔6〕魏應澤(1976)數理統計學第一冊,台北:自印。
貳、英文部份
[7] Amos, D.E. (1964). Representations of the central and noncentral t distributions, Biometrika,51, p.451-458.
[8] Anscombe, F.J. (1948). The transformation of Poisson, binomial and negative-binomial data, Biometrika, 35, p. 246-254.
[9] Aroian, L.A. (1941). A study of R.A. Fisher’s z distribution and the related F distribution, Ann. Math. Stat.,12 p.429-448.
[10] Bahadur, R.R. (1960). Some approximations to the binomial distribution function, Ann. Math. Stat., 31, p.43-54.
[11] Bhattacharyya, B.C. (1943). On an aspect of Pearsonian system of curves and a few analogies. Sankhya, 6, p.415-418.
[12] Blom, G. (1954). Transformations of the binomial, negative binomial Poisson and X² distributions, Biometrika, 41, p.302-316.
[13] Boman, K.O., Shenton, L.R. (1979). Approximate percentage points for Pearson distributions. Bonmetrika, 66, p.147-151.
[14] Brunk, H.D., Holstein, J.E. & Williams, F. (1968). A comparison of binomial approximations to the hypergeometric distribution, American Statistician, 22, February, p.24-26.
[15) Cacoullos, T. (1965). A relation between t and F-distribution, Jour. Am. Stat. Assn., 60, p.528-531.
[16] Chatterji, S.D. (1963). Some elementary characterizations of the Poisson distribution, Am. Math. Mont., 70, p.958-964.
[17] Chew, V. (1968). Some useful alternatives to the normal distribution,American Statistician, 22, No.3, p.22-24.
[18] Cohen, A.C. Jr. (1960). Estimation in the Poisson distribution when sample values of C + 1 are sometimes erroneously reported as C, Ann. Inst. Stat. Math., 11, p. 189-193.
[19) Cohen, A.C. Jr. (1960). Estimating the parameters of a modified Poisson distribution, Jour. Am. Stat. Assn., 55, p.139-143.
[20] Cox, D.R. (1953). Some simple approximate tests for Poisson variates, Biometrika, 40, p.354-360.
[21] Craig, C.C. (1936). A new exposition and chart for the Pearson system of frequency curves, Am. Math. Stat., 7, p.16-28.
[22] Cramér, H. (1955). The elements of probability theory and some of its applications, 台北:淡江書局。
[23] Curtiss, J.H. (1943). On transformations used in the ananlysis of variance,Ann. Math. Stat., 14 p.107-122.
[24] Draper, J. (1952). Properties of distributions resulting from certain simple transformations of the normal distribution, Biometrika, 39, p.290-301.
[25] Dubey, S.D. (1966). Graphical tests for distcrete distributions, American Statistician, 20, No.3, p.23-24.
[26] Epstein, B., Sobel, M. (1954). Some theorems relevant to life testing from an exponential distribution, Ann. Math. Stat., 25, p.373-381.
[27] Feller, w. (1943). On a general class of “contagions” distributions, Ann. Math. Stat., 14, p.389-400.
[28] Feller, W. (1978). An introduction to probability theory and its applications, Vol.I., 台北:歐亞書局。
[29 Freemen, M.F., Tukey, J.W. (1950). Transformations related to the angular and the square root, Ann. Math. Stat., 21, p.607-611.
[30] Gold, L. (1957). Gneeralized Poisson distributions, Ann. Insit. Stat. Math., 9, p.43-47.
[31] Goodman, L.A. (1952). On the Poisson-Gamma distribution problem, Ann. Insit. Stat. Math., 3, p.123-125.
[32] Guland, J. (1958). A generalized class of contagions distributions Biometrics, 14, p.229-249.
[33] Gupta, S.S., Shah, B.K. (1965). Exact moments and percentage points of the order statistics and the distribution of the range from the logistic distribution, Ann. Math. Stat.,
36, p.907-920.
[34) Haight, F.A. (1959). The generalized Poisson distribution, Ann. Insti. Stat. Math., 11, p.101-105.
[35] Harkness, W.L. (1965). Properties of the extended hypergeometric distribution,Ann. Math. Stat., 36, p.938-945.
[36] Hartley, H.O., Pearson, E.S. (1950). Tables of the X²- integral and of the cumulative Poisson distribution, Biometrika, 37, p.313-317.
[37] Hartley, H.O., Fitch, E.R. (1951). A chart for in complete beta-function and the cumulative binomial distribution, Biometrika, 38, p.423-426.
(38] Hodges, J.L. Dr. (1955). On the noncentral beta-distribution, Ann. Math. Stat., 26, p.648-653.
[39] Hogg, R.V., Craig. A.T. (1978). Introduction to mathematical statistics 4ed., 台北:歐亞書局。
[40] Hoel, P.G., Port, S.C. & Stone, C.J. (1977). Introduction to probability theory, 7ed., 台北:美亞書局。
[41]Hoyt, J.P. (1968). A simple approximation to the standard normal probability density function, American Statistician, 22, No.2, p.25-26.
[42] Irwin, J.O. (1937). Frequency distribution of the difference between two independent variates following the same Poisson distribution, Jour. Roy. Stat. Soc., Series A. 100, p.415-
416.
[43] Jambunathan, M.V. (1954). Some properties of beta and gamma distributions, Ann. Math.Stat., 25, p.401-405.
[44] Johnson, N.L. (1949). Systems of frequency curves generated by methods of transformation, Biometrika, 36, p.149-176.
[45] Johnson, N.L. (1951). Estimators of the probability of the zero class in Poisson and certain related populations, Ann.Math. Stat. 22, p.94-101.
[46] Johnson, N.L. (1959). On an extension of the connexion between Poisson and X² distributions, Biometrika, 46, p.352-363.
[47] Johnson, N.L., Kotz, S. (1969). Discrete distributions, Boston: Houghton Mifflin co.
[48] Johnson, N.L. Kotz, S. (1970). Continuous univariate distribution, I,Boston: Houghton Mifflin Co.
[49] Johnson, N.L., Kotz, S. (1970). Continuous univariate distribution, Ⅱ,Boston: Houghton Mifflin Co.
[50] Johnson, N.L., Nixon, E., Amos D.E. & Pearson,E.S. (1963). Tables of percentage points of Pearson curves, for given √(B₁) and B₂ ,expressed in standard measure, Bi ometrika,
50, p.459-498.
[51] Johnson, N.L., Welch, B.L. (1939). On the calculation of the cumulants of the X-distribution, Biometrika, 31, p.216-218.
[52] Kemp, C.D., Kemp, A.W. (1956). Generalized hypergeometric distribution,Jour. Roy. Stat. Soc., Series B, 18,p.202-211.
[53] Kendall, M.G., Stuart, A. (1969). The advanced theory of statistics Vol.Ⅰ, New York: Hafner Publishing Co.
[54] Kotlarski, I. (1965). On pairs of independent random variables whose product follows the gamma distribution, Biometrika, 52, p.289-294.
[55] Kotlarski, I. (1966), On characterizing the chi square distribution by the student law, Jour. Ann. Stat. Assn. , 61, p.976-981.
[56] Kotlarski, I (1967). On characterizing the gamma and the normal distribution, Paci. Jour. Math., 20, No.1, p.69-76.
[57] Lancaster, H.O. (1969). The Chi-squared distribution, New York:John wiley & Sons, Inc.
[58] Leone, F.C., Nelson, L.S. & Nottingham, R.B. (1961). The folded normal distribution, Technometrics, 3, p.543-550.
[59] Marsaglia, G. (1961). Generating exponential random variables, Ann. Math. Stat., 32, p.899-900.
[60] Matuszewski, T.I. (1962). some properties of Pascal disstribution for finite population, Jour. Ann. Stat. Assn., 57, p.172-174.
[61] Menon, M.V. (1962). A characterization of the Cauchy distribution, Ann. Math. Stat., 33, p.1267-1271.
[62] Mosteller, F., Tukey, J.W. (1949). The use and usefulness of binomial probability paper, Jour. Ann. Stat. Assn., 44, p. 174-212.
[63] Mosteller, F., Youtz, C. (1961). Tables of the Freeman-Tukey transformations for the binomial and Poisson distributions, Biometrika, 48, p.433-440.
[64] Nabeya, S. (1950). On a relation between exponential law and Poisson’s law, Ann. Insti. Stat. Math., 2, p.13-16.
[65] Noack, A. (1950). A class of random variables with discrete distributions,Ann. Math. Stat., 21, p.127-132.
[66] Ord, J.K. (1967). Graphical methods for a class of discrete distributions, Jour. Roy. Stat. Soc., Series A. 130, p.232-238.
[67] Ord, J.K. (1967). On a system of discrete distributions, Biometrika, 54, p.649-656.
[68] Ord, J.K. (1968). Approximations to distribution functions which are hypergeometric series, Biometrika, 55, p.243-248.
[69] Patil, G.P., Seshadri, V. (1964). Characterization theorems for some univariate probability distributions, Jour. Roy. Stat. Soc., Series B, 26, p.286-292.
[70] Patil, G.P. (1965). On certain structural properties of the logarithmic series distribution and the first type stirling distribution, Sankhya, Series A, 27, p.271-280.
[71] Patnaik, P.B. (1949). The noncentral X²-and F-distributions and their applications, Biometrika, 36, p.202-232.
[72] Pearson, K. (1924). On the mean-error of frequency distributions, Biometrika, 16, p.198-200.
[73] Pearson, E.S., Merrington, M. (1953). Tables of the 5% and 0.5% points of Pearson curves (with argument 𝛽₁ and 𝛽₂ ) expressed in standard measure, Biometrika, 40, p.4-10.
[74] Pearson, E.S. (1959). Note on approximation to the distribution of noncentral X², Biometrika, 46, p.364.
[75] Peizer, D.B., Pratt, J.W. (1968). A normal approximation for binomial, F, beta, and other common, related tail probabilities, I, Jour. Am. Stat. Assn., 63. p.1416-1456.
[76] Pessin, V. (1961). Some asympotic properties of the negative binomial distribution, Ann. Amth. Stat., 32, p.922-923 (abstract).
[77] Pitman, E.J.G., Williams, E.J. (1967). Cauchy-distributed functions of Cauchy variates, Ann. Math. Stat., 38, p.916-918.
[78] Pratt,J.W. (1968). A normal approximation for binomial, F, beta, and other conmon, related tail probabilities,Ⅱ, Jour, Am. Stat. Assn., 63, p.1457-1483.
[79] Quenouille, M.H. (1949). A relation between the logarithmic. Poisson and negative binomial series, Biometrics, 5. p.162-164.
[80] Rider, P.R. (1957). Generalized Cauchy distributions, Ann. Insti. Stat. Math. 9, p.215-223.
[81] Rider, P.R. (1962). The negative binomial distribution and the incomplete beta function, Am. Math. Mont., 69, p.302-304.
[82] Roberts, C., Geisser, S. (1966). A necessary and sufficient condition for the square of a random variable to be gamma, Biometrika, 53,p.275-277.
[83] Rogers, G.S. (1964). An application of a generalized gamma distribution, Ann. Math. Stat., 35, p.1368-1370.
[84] Ruben, H. (1966). Some new results on the distribution of correlation coefficient, Jour. Roy. Stat. Soc., Series B, 28, p.513-525.
[85] Rutherford, R.S.G. (1954). On a contagious distributions, Ann. Math. Stat., 25, p.703-713.
(86] Seber, G.A.F. (1963). The noncentral chi-squared and beta distributions, Biometrika, 50, p.542-544.
[87] Shuster, J. (1968). On the inverse Gausseian distribution function, Jour. Am. Stat. Assn., 63, p.1514-1516.
[88] Siegel, A.F: (1979). The noncentral chi-squared distribution with zero degrees of freedom and testing for uniformity, Biometrika, 66, p.381-386.
[89] Skellam, J.G. (1946). The frequency distribution of the difference between two Poisson variates belonging to different populations, Jour. Roy. Stat. Soc., Series A, 109, p.296.
[90] Skellam, J.G. (1948). A propability distribution derived from the binomial distribution by regarding the probability of success as variable between the sets of trials, Jour. Roy. Stat. Soc., Series B, 10, p.257-261.
[91] Stacy, E.W. (1962). A generalization of the gamma distribution, Ann. Math. Stat., 33, p.1187-1192.
[92] Thompson, H.R. (1954). A note on contagious distributions, Biometrika, 41, p.268-271.
[93] Tiku, M.L. (1965). Laguerre series forms of noncentral X² and F distributions, Biometrika, 52, p.415-427.
[94] Tweedie, M.C.K. (1957). Statistical Properties of inverse Gaussian distributions,Ⅰ, Ann. Math. Stat., 28, p.362-377.
[95] Tweedie, M.C.K. (1957). Statistical properties of inverse Gaussion distributions,Ⅱ, Ann. Math. Stat., 28, p.695-705.
[96] Williams, E.J. (1969). Cauchy-distributed functions and a characterization of the Cauchy distribution, Ann. Math. Stat., 40, p.1083-1085.
[97] Wisniewski, T.K.M. (1966). Another statistical solution of a combinational problem, American Statistician, 20, June, p.25.
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