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| mean = where Β() is the beta function| median =| mode =| variance =| skewness =| kurtosis = where moments ((see )) | entropy =| mgf =| char =| }} In probability theory, statistics and econometrics, the Burr Type XII distribution or simply the Burr distribution is a continuous probability distribution for a non-negative random variable. It is also known as the Singh–Maddala distribution and is one of a number of different distributions sometimes called the "generalized log-logistic distribution". It is most commonly used to model household income (See: Household income in the U.S. and compare to magenta graph at right). The Burr (Type XII) distribution has probability density function: : and cumulative distribution function: : Note when ''c''=1, the Burr distribution becomes the Pareto Type II distribution. When ''k''=1, the Burr distribution is a special case of the Champernowne distribution, often referred to as the Fisk distribution.〔 See Sections 7.3 "Champernowne Distribution" and 6.4.1 "Fisk Distribution."〕 The Burr Type XII distribution is a member of a system of continuous distributions introduced by Irving W. Burr (1942), which comprises 12 distributions.〔See Kleiber and Kotz (2003), Table 2.4, p. 51, "The Burr Distributions."〕 == See also == *Dagum distribution, also known as the inverse Burr Distribution. 抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)』 ■ウィキペディアで「Burr distribution」の詳細全文を読む スポンサード リンク
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