Probability Distributions: With Truncated, Log and Bivariate Extensions (SpringerBriefs in Statistics)

by Nick T. Thomopoulos

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This unique SpringerBrief presents statistical methods and tables not readily available in other publications. It begins with a review of the commonly used continuous and discrete probability distributions. Several useful distributions that are not so common and less understood are described with examples and applications in full detail: discrete normal, left-partial, right-partial, left-truncated normal, right-truncated normal, lognormal, bivariate normal, and bivariate lognormal. Table values are provided with examples that enable researchers to easily apply the distributions to real applications and sample data. The left- and right-truncated normal distributions offer a wide variety of shapes in contrast to the symmetrically shaped normal distribution, and a newly developed spread ratio enables analysts to determine which of the three distributions best fits a particular set of sample data.

  • ISBN13 9783319519715
  • Publish Date 7 October 2017
  • Publish Status Cancelled
  • Publish Country CH
  • Imprint Springer International Publishing AG
  • Edition 1st ed. 2017
  • Format Paperback
  • Pages 149
  • Language English