Change PP Plot and Continuous Sample Quantile Function

Abstract

Functional inference recommends data analysis of a sample of n observations by functional and graphical representations of its probability models using various functions on O < u <1, including the quantile function. This paper discusses: change PP plots and a continuous version of the sample quantile function which use the mid-distinct values probability integral transform; comparison density functions; comparison interpretation of probability integral transform; maximum spacings method of one sample parameter estimation.... Functional inference, Goodness of fit, Comparison density, Renyi information, Quantile data analysis, Continuous sample quantiles, Maximum spacings parameter estimation, Distinct mid-value probability transform, Change PP plot.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1992
Accession Number
ADA259833

Entities

People

  • Emanuel Parzen

Organizations

  • Texas A&M University

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Computer Science
  • Data Analysis
  • Data Mining
  • Data Science
  • Distribution Functions
  • Estimators
  • Information Science
  • Integral Transforms
  • Integrals
  • Network Science
  • Normal Distribution
  • Probability
  • Random Variables
  • Statistical Algorithms
  • Statistical Inference
  • Statistics
  • Surveys

Fields of Study

  • Mathematics

Readers

  • Statistical inference.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • Space