Pareto-class(distrEx)
Pareto-class()所属R语言包：distrEx
Pareto distribution
Pareto分布
译者：生物统计家园网 机器人LoveR
描述----------Description----------
[borrowed from actuar]:
[借来的actuar]：
The (Single-parameter) Pareto distribution with parameter shape = a has density:
Pareto分布参数（单参数）shape= a密度：
f(x) = a b^a/x^(a + 1)</i>
F（X）= B ^ A / X ^（+ 1）</ P>
Although there appears to be two parameters, only shape is a true parameter. The value of min = b must be set in advance.
虽然似乎有两个参数，只有shape是一个真正的参数。 min= b必须预先设定。
类对象----------Objects from the Class----------
Objects can be created by calls of the form new("Pareto", shape, Min). More frequently they are created via the generating function Pareto.
可以创建对象通过调用的形式new("Pareto", shape, Min)。更经常的是，他们通过创建生成函数Pareto。
插槽----------Slots----------
imgObject of class "Reals".
img对象的的类"Reals"。
paramObject of class "ParetoParameter".
param对象的的类"ParetoParameter"。
rrpareto1
的r“rpareto1
ddpareto1
的d“dpareto1
pppareto1
的p“ppareto1
qqpareto1
的q“qpareto1
gaps(numeric) matrix or NULL
gaps（数字）矩阵或NULL
.withArithlogical: used internally to issue warnings as to interpretation of arithmetics
.withArith逻辑：在内部使用发出警告的算术解释
.withSimlogical: used internally to issue warnings as to accuracy
.withSim逻辑：在内部使用发出警告，准确性
.logExactlogical: used internally to flag the case where there are explicit formulae for the log version of density, cdf, and quantile function
.logExact逻辑：内部使用，用于标记的情况下有明确的公式的log版本的密度，民防部队和分位数函数
.lowerExactlogical: used internally to flag the case where there are explicit formulae for the lower tail version of cdf and quantile function
.lowerExact逻辑：在内部使用标记的情况下，下尾版本的累积分布函数和分位数的功能有明确的公式
扩展----------Extends----------
Class "AbscontDistribution", directly.<br> Class "UnivariateDistribution", by class "AbscontDistribution".<br> Class "Distribution", by class "AbscontDistribution".
类"AbscontDistribution"，直接。<BR>的类"UnivariateDistribution"，"AbscontDistribution"类"Distribution"。参考类，类"AbscontDistribution"。
方法----------Methods----------
initializesignature(.Object = "Pareto"): initialize method.
初始化signature(.Object = "Pareto")：initialize方法。
shapesignature(object = "Pareto"): wrapped access method for slot shape of slot param.
形状signature(object = "Pareto")：包裹访问方法的插槽shape插槽param。
Minsignature(x = "Pareto"): wrapped access method for slot Min of slot param.
闵signature(x = "Pareto")：包裹访问方法的插槽Min的插槽param。
shape<-signature(object = "Pareto"): wrapped replace method for slot shape of slot param.
形状< - signature(object = "Pareto")：包裹更换方法的插槽shape槽param。
Min<-signature(x = "Pareto"): wrapped replace method for slot Min of slot param.
闵< - signature(x = "Pareto")：包裹更换方法的插槽Min槽param。
Esignature(object = "Pareto", fun = "missing", cond = "missing"): exact evaluation using explicit expressions.
Esignature(object = "Pareto", fun = "missing", cond = "missing")：确切的评估，使用显式的表达。
varsignature(signature(x = "Pareto"): exact evaluation using explicit expressions.
无功signature(signature(x = "Pareto")：确切的评估，使用显式的表达。
mediansignature(signature(x = "Pareto"): exact evaluation using explicit expressions.
中位数signature(signature(x = "Pareto")：确切的评估，使用显式的表达。
IQRsignature(signature(x = "Pareto"): exact evaluation using explicit expressions.
IQRsignature(signature(x = "Pareto")：使用显式表达式的确切评价。
skewnesssignature(signature(x = "Pareto"): exact evaluation using explicit expressions.
的偏斜signature(signature(x = "Pareto")：使用显式表达式的确切评价。
kurtosissignature(signature(x = "Pareto"): exact evaluation using explicit expressions.
峰度signature(signature(x = "Pareto")：使用显式表达式的确切评价。
注意----------Note----------
This class is based on the code provided by the package actuar
这个类是基于上提供的代码的包actuar
（作者）----------Author(s)----------
Nataliya Horbenko <a href="mailto:Nataliya.Horbenko@itwm.fraunhofer.de">Nataliya.Horbenko@itwm.fraunhofer.de</a>
参考文献----------References----------
New York: Wiley.<br> Klugman, S. A., Panjer, H. H. and Willmot, G. E. (2004), Loss Models, From Data to Decisions, Second Edition, Wiley.
参见----------See Also----------
dpareto1, AbscontDistribution-class
dpareto1，AbscontDistribution-class
实例----------Examples----------
(P1 <- new("Pareto", shape = 1, Min = 2))
plot(P1)
shape(P1)
Min(P1)
shape(P1) <- 4
Min(P1) <- 2
plot(P1)
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。
注：
注1：为了方便大家学习，本文档为生物统计家园网机器人LoveR翻译而成，仅供个人R语言学习参考使用，生物统计家园保留版权。
注2：由于是机器人自动翻译，难免有不准确之处，使用时仔细对照中、英文内容进行反复理解，可以帮助R语言的学习。
注3：如遇到不准确之处，请在本贴的后面进行回帖，我们会逐渐进行修订。
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发表于 2012-9-16 21:22:55
