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数理統計学 - web.econ.keio.ac.jp

20040607 13;15;20 30;0701 02;04 06;0710;13;0911;28;20050815( );.. 2006 . web .. ~ .. 1 4. 2 .. 4.. 5. 2 .. 6. 2 8. JR Y 1990 .. 8.. 8.. 9.. 10. Y .. 12.. 12. 3 13.. 13.. 15.. 17.. 18.. 19.. 20. 4 20.. 20.. 22.. 23.. 24. LLN, CLT .. 24. 5 26.. 26.. 28.. 29. 13 .. 29. 2 .. 31. 6 32.. 32.. 33. 2 .. 34. 3 .. 35. 7 1 1 2 t 37. 2.. 37.. 39. t .. 40.. 41.. 42. 28 .. 43. 32 .. 44. 8 2 F t 44. F .. 44.. 46.. 47.. 47. 2 .. 48. 9 49.. 49. 2. F .. 51.. 54. 10 55.. 55.. 56.. 57.. 57.. 59.. 60.. 61. 11 62. 64. 4. 1 . 2 . 2 . n . p 0 < p < 1 p = 0 . p = 1 .. 1 .. (1) .. 3.. n . 1 0 0, 1 n . = {(s1 , s2 , , sn ) {0, 1}n} . 1 p . 1 p 1 . 1 p.

1.1 4 1 不公平な硬貨— 離散分布の確率論. 硬貨投げ(2項分布)を例として,離散分布について,確率測度,平均,分散の定義を復習する.

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