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A probability density function is a mathematical function that describes the proability of each member of a discrete set or a continuous range of outcomes or possile values of a variable. Common examples of probability density functions are lognormal, normal(Gaussian) exponentail, and pareto. ¸ÅÂÊÃܶȺ¯Êý£¨PDF£©ÊÇÒ»¸öÊýѧº¯Êý£¬ÓÃÓÚÃèÊöÀëÉ¢¼¯ºÏÖÐÿ¸öÔªËØµÄ³öÏÖ¸ÅÂÊ£¬ÒÔ¼°Á¬ÐøÊä³ö»òËæ»ú±äÁ¿µÄ¸ÅÂÊ·Ö²¼¡£³£¼ûµÄ¸ÅÂÊÃܶȺ¯ÊýÓжÔÊýÕý̬·Ö²¼¡¢Õý̬£¨¸ß˹£©·Ö²¼¡¢Ö¸Êý·Ö²¼ºÍPareto·Ö²¼¡£ ÇóÐ޸ģ¡£¡£¡£¡ |
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- ½ð±Ò: 2574.2
- Ìû×Ó: 179
- ÔÚÏß: 60.7Сʱ
- ³æºÅ: 1997155
- ×¢²á: 2012-09-13
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2Â¥2016-02-17 17:59:02
charmingzhou
гæ (СÓÐÃûÆø)
- Ó¦Öú: 0 (Ó×¶ùÔ°)
- ½ð±Ò: 2574.2
- Ìû×Ó: 179
- ÔÚÏß: 60.7Сʱ
- ³æºÅ: 1997155
- ×¢²á: 2012-09-13
- ÐÔ±ð: GG
- רҵ: ³Á»ýѧºÍÅèµØ¶¯Á¦Ñ§
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ÇóÖúÐ޸ģºExpected value is mathematically defined as the integral of a random variable with its probability measure. These are theoretical terms. Their experimental counterparts are the mean or average value that is calculated as the probability-weighted sum of sample values. ËüµÄÊýѧ¶¨ÒåÊÇËæ»ú±äÁ¿¿ÉÄܽá¹ûµÄ¸ÅÂʳËÒÔʵ¼Ê½á¹ûµÄ×ܺͣ¬ÕâÊÇÀíÂÛµÄ˵·¨¡£ÊµÑéµÄ˵·¨ÊÇ£¬ËüÊÇÑù±¾ÖµµÄ¸ÅÂʼÓȨ֮ºÍµÄƽ¾ùÖµ¡£ Çë°ïæÐ޸ģ¬Ôö¼ÓÖÁ15±Ò¡£Ð»Ð»£¡ |
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