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Introduction

  • Thomas J. Santner
  • Diane E. Duffy
Part of the Springer Texts in Statistics book series (STS)

Abstract

Statistical problems can be classified according to the types of variables observed. Two different criteria for distinguishing variables are important in this book. First, it is convenient to differentiate between (i) responses and (ii) explanatory variables (which affect the responses). In a given problem how one makes the distinction depends on the study design and the scientific goals of the investigation. Second, variables can be distinguished according to their scale of measurement. Four measurement scales are described below.

Keywords

Poisson Distribution Negative Binomial Distribution Multinomial Distribution Probability Mass Function Poisson Approximation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 1989

Authors and Affiliations

  • Thomas J. Santner
    • 1
  • Diane E. Duffy
    • 2
  1. 1.School of Operations Research and Industrial EngineeringCornell UniversityIthacaUSA
  2. 2.Bell Communications ResearchMorristownUSA

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