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推論統計學

統計學名詞 来自维基百科,自由的百科全书

推論統計學
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推論統計學,或稱統計推論(英語:Statistical inference),指統計學中,研究如何根據樣本數據去推斷總體數量特徵的方法。它是在對樣本數據進行描述的基礎上,對統計總體的未知數量特徵做出以概率形式表述的推斷。更概括地說,是在一段有限的時間內,通過對一個隨機過程的觀察來進行推斷的。

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安德森鳶尾花卉數據集變色鳶尾花萼片寬度數據的分佈直方圖

統計學中,統計推論與敘述統計相對應。

統計推論的結果常用來決定下一步的作法,可能是要做更深入的試驗或問卷,或是是決定是否要實行某項方案。

參考文獻

  • Bandyopadhyay, P. S.; Forster, M. R. (編), Philosophy of Statistics, Elsevier, 2011.
  • Bickel, Peter J.; Doksum, Kjell A. Mathematical statistics: Basic and selected topics 1 Second (updated printing 2007). Prentice Hall. 2001. ISBN 0-13-850363-X. MR 0443141.
  • Cox, D. R. (2006). Principles of Statistical Inference, Cambridge University Press. ISBN 0-521-68567-2.
  • Fisher, R. A. (1955), "Statistical methods and scientific induction", Journal of the Royal Statistical Society, Series B, 17, 69—78. (criticism of statistical theories of Jerzy Neyman and 沃德·亞伯拉罕)
  • Freedman, D. A. Statistical Models: Theory and practice revised. Cambridge University Press. 2009: xiv+442 pp. ISBN 978-0-521-74385-3. MR 2489600.
  • Freedman, D. A. (2010). Statistical Models and Causal Inferences: A Dialogue with the Social Sciences (Edited by David Collier, Jasjeet S. Sekhon, and Philip B. Stark), Cambridge University Press.
  • Hampel, Frank. The proper fiducial argument (PDF) (Research Report No. 114). Feb 2003 [29 March 2016]. (原始內容存檔 (PDF)於2017-05-10).
  • Hansen, Mark H.; Yu, Bin. Model Selection and the Principle of Minimum Description Length: Review paper. Journal of the American Statistical Association. June 2001, 96 (454): 746–774. JSTOR 2670311. MR 1939352. doi:10.1198/016214501753168398. (原始內容存檔於2004-11-16).
  • Hinkelmann, Klaus; Kempthorne, Oscar. Introduction to Experimental Design Second. Wiley. 2008. ISBN 978-0-471-72756-9.
  • Kolmogorov, Andrei N. On tables of random numbers. Sankhyā Ser. A. 1963, 25: 369–375. MR 0178484. Reprinted as Kolmogorov, Andrei N. On tables of random numbers. Theoretical Computer Science. 1998, 207 (2): 387–395. MR 1643414. doi:10.1016/S0304-3975(98)00075-9.
  • Konishi S., Kitagawa G. (2008), Information Criteria and Statistical Modeling, Springer.
  • Kruskal, William. Miracles and statistics: the casual assumption of independence (ASA Presidential Address). Journal of the American Statistical Association. December 1988, 83 (404): 929–940. JSTOR 2290117. doi:10.2307/2290117.
  • Le Cam, Lucian. (1986) Asymptotic Methods of Statistical Decision Theory, Springer. ISBN 0-387-96307-3
  • Moore, D. S.; McCabe, G. P.; Craig, B. A. (2015), Introduction to the Practice of Statistics, Eighth Edition, Macmillan.
  • Neyman, Jerzy. Note on an article by Sir Ronald Fisher. Journal of the Royal Statistical Society, Series B. 1956, 18 (2): 288–294. JSTOR 2983716. (reply to Fisher 1955)
  • Peirce, C. S. (1877–1878), "Illustrations of the logic of science" (series), Popular Science Monthly, vols. 12-13. Relevant individual papers:
  • Peirce, C. S. (1883), "A Theory of probable inference", Studies in Logic, pp. 126-181頁面存檔備份,存於互聯網檔案館), Little, Brown, and Company. (Reprinted 1983, John Benjamins Publishing Company, ISBN 90-272-3271-7)
  • Pfanzagl, Johann; with the assistance of R. Hamböker. Parametric Statistical Theory. Berlin: Walter de Gruyter. 1994. ISBN 3-11-013863-8. MR 1291393.
  • Rissanen, Jorma. Stochastic Complexity in Statistical Inquiry. Series in Computer Science 15. Singapore: World Scientific. 1989. ISBN 9971-5-0859-1. MR 1082556.
  • Soofi, Ehsan S. Principal information-theoretic approaches (Vignettes for the Year 2000: Theory and Methods, ed. by George Casella). Journal of the American Statistical Association. December 2000, 95 (452): 1349–1353. JSTOR 2669786. MR 1825292. doi:10.1080/01621459.2000.10474346.
  • Traub, Joseph F.; Wasilkowski, G. W.; Wozniakowski, H. Information-Based Complexity. Academic Press. 1988. ISBN 0-12-697545-0.
  • Zabell, S. L. R. A. Fisher and Fiducial Argument. Statistical Science. Aug 1992, 7 (3): 369–387. JSTOR 2246073. doi:10.1214/ss/1177011233.
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