Introduction to statistical modeling of extreme values

By: Series: Springer series in statisticPublication details: Springer, 2001. London:Description: xiv; 208 p. hb; 24 cmISBN:
  • 978185233459
Subject(s): DDC classification:
  • 519.2 COL
Summary: Intended for statisticians and non-statisticians alike, the theoretical treatment is elementary, with heuristics often replacing detailed mathematical proof. Most aspects of extreme modeling techniques are covered, including historical techniques (still widely used) and contemporary techniques based on point process models. A wide range of worked examples, using genuine datasets, illustrates the various modeling procedures and a concluding chapter provides a brief introduction to a number of more advanced topics, including Bayesian inference and spatial extremes.
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Books Books IIT Gandhinagar General 519.2 COL (Browse shelf(Opens below)) 1 Available 028654

Intended for statisticians and non-statisticians alike, the theoretical treatment is elementary, with heuristics often replacing detailed mathematical proof. Most aspects of extreme modeling techniques are covered, including historical techniques (still widely used) and contemporary techniques based on point process models. A wide range of worked examples, using genuine datasets, illustrates the various modeling procedures and a concluding chapter provides a brief introduction to a number of more advanced topics, including Bayesian inference and spatial extremes.

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