D.table(wmtsa)
D.table()所属R语言包：wmtsa
Critical D-statistic table generation
关键的D-生成统计表
译者：生物统计家园网 机器人LoveR
描述----------Description----------
The D-statistic denotes the maximum deviation of sequence from a hypothetical linear cumulative energy trend. The critical D-statistics define the distribution of D for a zero mean Gaussian white noise process. Comparing the sequence D-statistic to the corresponding critical values provides a means of quantitatively rejecting or accepting the linear cumulative energy hypothesis. The table is generated for an
D-statistic表示的最大偏差序列从一个假设的线性累积能量的趋势。的关键D-statistics定义的D分布的零均值高斯白噪声过程。所对应的临界值比较，在序列D-statistic定量拒绝或接受该线性累积能量假说提供了一种手段。该表是用于生成
用法----------Usage----------
lookup=TRUE, n.realization=10000, n.repetition=3,
参数----------Arguments----------
参数：lookup
a logical flag for accessing precalculated critical D-statistics. The critical D-statistics are calculated for a variety of sample sizes and significances. If lookup is TRUE (recommended), this table is accessed. The table is stored as the matrix object D.table.critical. Missing table values are calculated using the input arguments: n.realization, n.repetition, and tolerance. Default: TRUE.
一个逻辑标志访问预先计算的关键D-statistics。关键D-statistics计算各种样品的尺寸和意义。如果查询是TRUE（推荐），此表的访问。该表存储为矩阵对象D.table.critical。缺少的表值使用的输入参数：n.realization，n.repetition和tolerance。默认值：TRUE。
参数：n.realization
an integer specifying the number of realizations to generate in a Monte Carlo simulation for calculating the D-statistic(s). This parameter is used either when lookup is FALSE, or when lookup is TRUE and the table is missing values corresponding to the specified significances. Default: 10000.
一个整数，指定为计算的D-statistic(s)的蒙地卡罗模拟的实现产生。此参数时使用，也可以的查找是FALSE，或当查找TRUE和表丢失相对应的值指定的意义。默认值：10000。
参数：n.repetition
an integer specifying the number of Monte Carlo simulations to perform. This parameter coordinates with the n.realization parameter. Default: 3.
一个整数，指定执行的Monte Carlo模拟的数量。此参数的坐标与n.realization参数。默认值：3。
参数：n.sample
a vector of integers denoting the sample sizes for which critical D-statistics are created. Default: c(127,130).
一个向量的整数表示的样本大小的关键D-statistics创建的。默认值：c(127,130)。
参数：significance
a numeric vector of real values in the interval (0,1). The significance is the fraction of times that the linear cumulative energy hypothesis is incorrectly rejected. It is equal to the difference of the distribution probability (p) and unity. Default: c(0.1, 0.05, 0.01).
一个数值向量的时间间隔（0,1）中的实际值。的意义是线性累积能量的假设是不正确的拒绝次数的馏分。它是等于差的分布的概率（p）和统一。默认值：c(0.1, 0.05, 0.01)。
参数：tolerance
a numeric real scalar that specifies the amplitude threshold to use in estimating critical D-statistic(s) via the Inclan-Tiao approximation. Setting this parameter to a higher value results in a lesser number of summation terms at the expense of obtaining a less accurate approximation. Default: 1e-6.
一个数字，指定使用在关键D-statistic(s)通过Inclan眺近似估计的幅度阈值的实标量。这个参数设置为较高的值的总和计算，在数量较少的费用获得较准确的近似结果。默认值：1e-6。
Details
详细信息----------Details----------
A precalculated critical D-statistics object (D.table.critical) exists on the package workspace and was built for a variety of sample sizes and significances using 3 repetitions and 10000 realizations/repetition. This D.table function should be used in cases where specific D-statistics are missing from D.table.critical. Note: the results of the D.table value should not be returned to a variable named D.table.critical as it will override the precalculated table available in the package.
预先计算的关键D-statistics对象（D.table.critical）包装上的工作空间和存在，是专为使用3次重复和10000实现/重复各种样品的尺寸和意义。这D.table功能的情况下，应使用特定D-statistics的缺少D.table.critical。注：D.table值的结果不应该被返回给变量D.table.critical“，因为它会覆盖包中的预先计算表。
An Inclan-Tiao approximation of critical D-statistics is used for sample sizes n.sample >= 128 while a Monte Carlo technique is used for n.sample < 128. For the Monte Carlo technique, the D-statistic for a Gaussian white noise sequence of length n.sample is calculated. This process is repeated n.realization times, forming a distribution of the D-statistic. The critical values corresponding to the significances are calculated a total of n.repetition times, and averaged to form an approximation to the D-statistic(s).
的Inclan眺近似的关键D-statistics用于样本大小n.sample>= 128，而蒙特卡罗技术用于n.sample< 128的。蒙特卡罗技术，D-statistic的高斯白噪声序列的长度n.sample计算。重复这一过程，n.realization倍，形成D-statistic的分布的。临界值对应的意义的计算共n.repetition次，并平均，以形成近似的D-statistic(s)。
值----------Value----------
a matrix containing the critical D-statistics corresponding to the supplied sample sizes and significances.
矩阵关键D-statistics提供的样品尺寸和意义。
参考文献----------References----------
D. B. Percival and A. T. Walden, Wavelet Methods for Time Series Analysis, Cambridge University Press, 2000.
参见----------See Also----------
实例----------Examples----------
D.lookup <- D.table(significance=c(10,5,1)/100,
n.realization=100, n.sample=125:130, lookup=FALSE)
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。
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发表于 2012-10-1 22:49:52
