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40 Puzzles and Problems in Probability and Mathematical Statistics

Bag om 40 Puzzles and Problems in Probability and Mathematical Statistics

As a student I discovered in our library a thin booklet by Frederick Mosteller entitled50 Challenging Problems in Probability. Itreferredtoas- plementary ¿regular textbook¿ by William Feller, An Introduction to Pro- bilityTheoryanditsApplications.SoItookthisonealong,too,andstartedon the ?rst of Mosteller¿s problems on the train riding home. From that evening, I caught on to probability. These two books were not primarily about abstract formalisms but rather about basic modeling ideas and about ways ¿ often extremely elegant ones ¿ to apply those notions to a surprising variety of empirical phenomena. Essentially, these books taught the reader the skill to ¿think probabilistically¿ and to apply simple probability models to real-world problems. The present book is in this tradition; it is based on the view that those cognitive skills are best acquired by solving challenging, nonstandard pro- bility problems. My own experience, both in learning and in teaching, is that challenging problems often help to develop, and to sharpen, our probabilistic intuition much better than plain-style deductions from abstract concepts.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9781441925220
  • Indbinding:
  • Paperback
  • Sideantal:
  • 140
  • Udgivet:
  • 23. november 2010
  • Størrelse:
  • 155x8x235 mm.
  • Vægt:
  • 224 g.
  • 8-11 hverdage.
  • 10. december 2024
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Beskrivelse af 40 Puzzles and Problems in Probability and Mathematical Statistics

As a student I discovered in our library a thin booklet by Frederick Mosteller entitled50 Challenging Problems in Probability. Itreferredtoas- plementary ¿regular textbook¿ by William Feller, An Introduction to Pro- bilityTheoryanditsApplications.SoItookthisonealong,too,andstartedon the ?rst of Mosteller¿s problems on the train riding home. From that evening, I caught on to probability. These two books were not primarily about abstract formalisms but rather about basic modeling ideas and about ways ¿ often extremely elegant ones ¿ to apply those notions to a surprising variety of empirical phenomena. Essentially, these books taught the reader the skill to ¿think probabilistically¿ and to apply simple probability models to real-world problems. The present book is in this tradition; it is based on the view that those cognitive skills are best acquired by solving challenging, nonstandard pro- bility problems. My own experience, both in learning and in teaching, is that challenging problems often help to develop, and to sharpen, our probabilistic intuition much better than plain-style deductions from abstract concepts.

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