Gaussian-Based Data Analysis

  • Jeffrey S. Simonoff
Part of the Springer Texts in Statistics book series (STS)


In the next two chapters we examine univariate and regression analysis based on the central distribution of statistical inference and data analysis, the normal, or Gaussian, distribution. It is important to note that the brief overview of least squares regression given here is not a substitute for the thorough discussion that would appear in a good regression textbook. See the “Background material” section of this chapter for several examples of such books.


Maximum Likelihood Estimator Grade Point Average Target Variable Gaussian Random Variable Standard Normal Random Variable 
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Copyright information

© Springer Science+Business Media New York 2003

Authors and Affiliations

  • Jeffrey S. Simonoff
    • 1
  1. 1.Leonard N. Stern School of BusinessNew York UniversityNew YorkUSA

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