Functional Statistical Data Analysis and Modeling

Abstract

The goal of this program was to contribute to a unification of statistical methods which applies to the broad diversity of statistical problems (discrete, continuous data; one sample, two sample problems; univariate, time series data; parametric, nonparametric, robust, function estimation methods; goodness of fit and probability model identification). It uses statistical computing in an interactive environment to provide ease of use and effective integration of classical and currently emerging styles of statistical data analysis. Statistical science is defined to be the art of analyzing data from as many points of view as possible. A unified framework for statistical reasoning will make it possible to more rigorously draw conclusions by combining the results yielded by different methods which can (and should be) applied to the data. This report contains the results of this effort. Statistical processes; Statistical analysis; Statistical data.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1990
Accession Number
ADA219387

Entities

People

  • Emanuel Parzen
  • Scott D. Grimshaw
  • William P. Alexander

Organizations

  • Texas A&M University

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Abstracts
  • Data Analysis
  • Data Mining
  • Data Science
  • Distribution Functions
  • Environment
  • Experimental Design
  • Information Science
  • Military Research
  • Political Science
  • Probability
  • Public Health
  • Statistical Analysis
  • Statistical Data
  • Statistical Inference
  • Statistics
  • United States

Fields of Study

  • Mathematics

Readers

  • Distributed Systems and Data Platform Development
  • Regression Analysis.