Strategies of Data Analysis.

Abstract

The purpose of statistical analysis is 'to extract all the information from observed data'. The recorded data may have some detects such as recording errors and outliers and the first task of a statistician is to scrutinize or cross-examine the data for possible defects and understand its special features. The next step is the specification of a suitable stochastic model for the data using prior information and cross-validation techniques. On the basis of a chosen model, inferential analysis is made, which comprises of estimation of unknown parameters, tests of hypotheses, prediction of future observations and decision making. Examining data under different possible models is suggested as more informative than using robust procedures to safeguard against possible alternative models. Finally data analysis must also provide information for raising new questions and planning future investigations. Some aspects of data analysis as outlined above are illustrated through examples.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1987
Accession Number
ADA186033

Entities

People

  • Calyampudi Radhakrishna Rao

Organizations

  • University of Pittsburgh

Tags

Communities of Interest

  • Cyber

DTIC Thesaurus Topics

  • Age Groups
  • Data Analysis
  • Data Mining
  • Data Science
  • Data Sets
  • Descriptive Analytics
  • Information Science
  • Multivariate Analysis
  • Probability
  • Probability Distributions
  • Regression Analysis
  • Statistical Algorithms
  • Statistical Analysis
  • Statistical Inference
  • Statistical Samples
  • Statistics
  • Surveys

Fields of Study

  • Mathematics

Readers

  • Regression Analysis.
  • Systems Analysis and Design