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°¡°Ô¿Í Á÷°Å·¡¸¦ ÇÏ½Ã¸é ²É¼ÛÀÌ Àû¸³ ¹× °¢Á¾ ÇýÅÿ¡¼ Á¦¿ÜµÇ°í, ¸¸ÀÏÀÇ ¹®Á¦°¡ ¹ß»ýÇÏ´Â °æ¿ì¿¡µµ ²É¸¶ÀÇ µµ¿òÀ» ¹ÞÀ¸½Ç ¼ö ¾ø½À´Ï´Ù. °¡°ÔÀÇ ºÎ´çÇÑ ¿ä±¸, ºÒ°øÁ¤ ÇàÀ§ µî¿¡ ´ëÇؼµµ ²É¸¶·Î Á÷Á¢ ÀüÈÁÖ¼¼¿ä. |
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¸ñÂ÷preface
CHAPTER1 Some motivating examples and some fundamental concepts
CHAPTER2 The concept of probability and basic results
CHAPTER3 Numerical characteristics of a random variable, some special random variables
CHAPTER4 Joint and conditional p.d.f.'s. conditional expectation and variance, moment generating function, covariance, and correlation coefficient
CHAPTER5 Independence of random variables and some applications
CHAPTER6 Transformaion of random variables
CHAPTER7 Some modes of convergence of random variables, applications
CHAPTER8 An overview of statistical inference
CHAPTER9 Point estimation
CHAPTER10 Confidence intervals and confkdence regions
CHAPTER11 Testing hypotheses
CHAPTER12 More about testing hypotheses
CHAPTER13 A simple linear regression model
CHAPTER14 Two models of analysis of variance
CHAPTER15 Some topics in nonparametric inference
Tables
Some notation and abbreviations
Answers to even-numbered exercises
Index |
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1) »óÇ°ÀÌ Ç¥½Ã/±¤°íµÈ ³»¿ë°ú ´Ù¸£°Å³ª ºÒ·®(ºÎÆÐ, º¯Áú, ÆļÕ, Ç¥±â¿À·ù, À̹°È¥ÀÔ, Áß·®¹Ì´Þ)ÀÌ ¹ß»ýÇÑ °æ¿ì - ½Å¼±½ÄÇ°, ³ÃÀå½ÄÇ°, ³Ãµ¿½ÄÇ° : ¼ö·ÉÀÏ ´ÙÀ½³¯±îÁö ½Åû - ±âŸ »óÇ° : ¼ö·ÉÀϷκÎÅÍ 30ÀÏ À̳», ±× »ç½ÇÀ» ¾È ³¯ ¶Ç´Â ¾Ë ¼ö ÀÖ¾ú´ø ³¯·ÎºÎÅÍ 30ÀÏ À̳» ½Åû 2) ±³È¯ ¹× ȯºÒ½Åû ½Ã ÆǸÅÀÚ´Â »óÇ°ÀÇ »óŸ¦ È®ÀÎÇÒ ¼ö ÀÖ´Â »çÁøÀ» ¿äûÇÒ ¼ö ÀÖÀ¸¸ç »óÇ°ÀÇ ¹®Á¦ Á¤µµ¿¡ µû¶ó Àç¹è¼Û, ÀϺÎȯºÒ, ÀüüȯºÒÀÌ ÁøÇàµË´Ï´Ù. ¹ÝÇ°¿¡ µû¸¥ ºñ¿ëÀº ÆǸÅÀÚ ºÎ´ãÀ̸ç ȯºÒÀº ¹ÝÇ°µµÂøÀϷκÎÅÍ ¿µ¾÷ÀÏ ±âÁØ 3ÀÏ À̳»¿¡ ¿Ï·áµË´Ï´Ù. |
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1) ½Å¼±½ÄÇ°, ³ÃÀå½ÄÇ°, ³Ãµ¿½ÄÇ° ÀçÆǸŰ¡ ¾î·Á¿î »óÇ°ÀÇ Æ¯¼º»ó, ±³È¯ ¹× ȯºÒÀÌ ¾î·Æ½À´Ï´Ù. 2) ÈÀåÇ° ÇǺΠƮ·¯ºí ¹ß»ý ½Ã Àü¹®ÀÇ Áø´Ü¼ ¹× ¼Ò°ß¼¸¦ Á¦ÃâÇϽøé ȯºÒ °¡´ÉÇÕ´Ï´Ù. ÀÌ °æ¿ì Á¦¹Ýºñ¿ëÀº ¼ÒºñÀÚ ºÎ´ãÀ̸ç, ¹è¼Ûºñ´Â ÆǸÅÀÚ°¡ ºÎ´ãÇÕ´Ï´Ù. ÇØ´ç ÈÀåÇ°°ú ÇǺΠƮ·¯ºí°úÀÇ »ó´çÇÑ Àΰú°ü°è°¡ ÀÎÁ¤µÇ´Â °æ¿ì ¶Ç´Â Áúȯġ·á ¸ñÀûÀÇ °æ¿ì¿¡´Â Áø´Ü¼ ¹ß±Þºñ¿ëÀ» ÆǸÅÀÚ°¡ ºÎ´ãÇÕ´Ï´Ù. 3) ±âŸ »óÇ° ¼ö·ÉÀϷκÎÅÍ 7ÀÏ À̳» ½Åû, ¿Õº¹¹è¼Ûºñ´Â ¼ÒºñÀÚ ºÎ´ã 4) ¸ð´ÏÅÍ ÇØ»óµµÀÇ Â÷ÀÌ·Î »ö»óÀ̳ª À̹ÌÁö°¡ ´Ù¸¥ °æ¿ì ´Ü¼øº¯½É¿¡ ÀÇÇÑ ±³È¯ ¹× ȯºÒÀÌ Á¦ÇÑµÉ ¼ö ÀÖ½À´Ï´Ù. |
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1) ½Åû±âÇÑÀÌ Áö³ °æ¿ì 2) ¼ÒºñÀÚÀÇ °ú½Ç·Î ÀÎÇØ »óÇ° ¹× ±¸¼ºÇ°ÀÇ Àüü ¶Ç´Â ÀϺΰ¡ ¾ø¾îÁö°Å³ª ÈѼÕ, ¿À¿°µÇ¾úÀ» °æ¿ì 3) °³ºÀÇÏ¿© ÀÌ¹Ì ¼·ÃëÇÏ¿´°Å³ª »ç¿ë(Âø¿ë ¹× ¼³Ä¡ Æ÷ÇÔ)ÇØ »óÇ° ¹× ±¸¼ºÇ°ÀÇ °¡Ä¡°¡ ¼Õ»óµÈ °æ¿ì 4) ½Ã°£ÀÌ °æ°úÇÏ¿© »óÇ°ÀÇ °¡Ä¡°¡ ÇöÀúÈ÷ °¨¼ÒÇÑ °æ¿ì 5) »ó¼¼Á¤º¸ ¶Ç´Â »ç¿ë¼³¸í¼¿¡ ¾È³»µÈ ÁÖÀÇ»çÇ× ¹× º¸°ü¹æ¹ýÀ» ÁöÅ°Áö ¾ÊÀº °æ¿ì 6) »çÀü¿¹¾à ¶Ç´Â ÁÖ¹®Á¦ÀÛÀ¸·Î ÅëÇØ ¼ÒºñÀÚÀÇ ÁÖ¹®¿¡ µû¶ó °³º°ÀûÀ¸·Î »ý»êµÇ´Â »óÇ°ÀÌ ÀÌ¹Ì Á¦ÀÛÁøÇàµÈ °æ¿ì 7) º¹Á¦°¡ °¡´ÉÇÑ »óÇ° µîÀÇ Æ÷ÀåÀ» ÈѼÕÇÑ °æ¿ì 8) ¸À, Çâ, »ö µî ´Ü¼ø ±âÈ£Â÷ÀÌ¿¡ ÀÇÇÑ °æ¿ì |