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THE H-FUNCTION AND PROBABILITY DENSITY FUNCTIONS OF CERTAIN ALGEBRAIC COMBINATIONS OF INDEPENDENT RANDOM VARIABLES WITH H-FUNCTION PROBABILITY DISTRIBUTIONS.

机译:具有H函数概率分布的独立随机变量的某些代数组合的H函数和概率密度函数。

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摘要

A practical technique is presented for determining the exact probability density function and cumulative distribution function of a sum of any number of terms involving any combination of products, quotients, and powers of independent random variables with H-function distributions. The H-function is the most general named function, encompassing as special cases most of the other special functions of mathematics and many of the classical statistical distributions. Its unique properties make it a powerful tool for statistical analysis. In particular, the product, quotient, and powers of independent H-function variates are also H-function variates, and the Laplace and Fourier transforms and the derivatives of an H-function are readily-determined H-functions.; This dissertation first provides background material, including history on H-functions and the algebra of random variables, definitions and properties of integral transforms, theorems on transformations of random variables, and definition, properties and special cases of the H-function. For determining whether convergence of a general Mellin-Barnes integral or an H-function occurs with left-half-plane versus right-half-plane summation of residues, evaluation guidelines are formally established and applied to the known special cases, the Laplace transform, and the derivatives of the H-function. Then, a new, improved formulation for evaluation of an H-function by summing residues is derived. This formulation is combined with a Laplace transform numerical inversion method to give a second new formulation.; The definition, special cases, and transformation theorems for the H-function distribution are presented. A new formula for finding the constant of an H-function distribution is derived. Also, the cumulative distribution function of an H-function distribution is shown to be a convergent H-function, and a more efficient way to compute it is found. Demonstration of the practical technique for handling sums is accompanied by an implementing computer program. Some examples of areas of application are discussed.; Throughout this dissertation, a number of new H-function formulas are found, including relations between given H-functions and other named functions or lower order H-functions, special-case derivative rules, and improved transform and derivative formulas.
机译:提出了一种实用技术,用于确定涉及H函数分布的独立随机变量的乘积,商和幂的任意组合的任意数量的项之和的确切概率密度函数和累积分布函数。 H函数是最通用的命名函数,作为特殊情况,包括数学中的大多数其他特殊函数以及许多经典的统计分布。它的独特属性使其成为进行统计分析的强大工具。特别地,独立的H函数变量的乘积,商和幂也是H函数变量,并且Laplace和Fourier变换以及H函数的导数是易于确定的H函数。本文首先提供了背景资料,包括H函数的历史和随机变量的代数,积分变换的定义和性质,随机变量的变换定理以及H函数的定义,性质和特例。为了确定在残差的左半平面与右半平面求和时是否发生通用Mellin-Barnes积分或H函数的收敛,正式建立了评估准则并将其应用于已知的特殊情况(拉普拉斯变换),以及H函数的导数然后,得出了一种新的改进的配方,用于通过对残基求和来评估H功能。该公式与拉普拉斯变换数值反演方法相结合,给出了第二个新公式。给出了H函数分布的定义,特殊情况和变换定理。推导了寻找H函数分布常数的新公式。同样,H函数分布的累积分布函数显示为收敛的H函数,并且找到了一种更有效的计算方法。伴随着处理计算机程序的实用技术的演示。讨论了一些应用领域的例子。在整个论文中,发现了许多新的H函数公式,包括给定H函数与其他命名函数或低阶H函数之间的关系,特殊情况的导数规则以及改进的变换和导数公式。

著录项

  • 作者

    COOK, IVY DEWEY, JR.;

  • 作者单位

    The University of Texas at Austin.;

  • 授予单位 The University of Texas at Austin.;
  • 学科 Statistics.
  • 学位 Ph.D.
  • 年度 1981
  • 页码 239 p.
  • 总页数 239
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 统计学;
  • 关键词

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