Please use this identifier to cite or link to this item: 192.168.6.56/handle/123456789/88773
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dc.contributor.authorF.M. Dekking-
dc.contributor.authorC. Kraaikamp-
dc.contributor.authorH.P. Lopuhaa-
dc.contributor.authorL.E. Meester-
dc.date.accessioned2020-05-27T10:46:54Z-
dc.date.available2020-05-27T10:46:54Z-
dc.date.issued2005-01-10-
dc.identifier.urihttp://196.189.45.87:8080/handle/123456789/88773-
dc.descriptionIn this book you will find the basics of probability theory and statistics. Inaddition, there are several topics that go somewhat beyond the basics butthat ought to be present in an introductory course: simulation, the Poissonprocess, the law of large numbers, and the central limit theorem. Computershave brought many changes in statistics. In particular, the bootstrap hasearned its place. It provides the possibility to derive confidence intervals andperform tests of hypotheses where traditional (normal approximation or largesample) methods are inappropriate.en_US
dc.publisherSpringeren_US
dc.subjectUnderstanding Why and Howen_US
dc.titleA Modern Introduction to Probability and Statistien_US
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