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Statistical Modeling and ComputationDirk P. Kroese, Joshua C.C. Chan

Statistical Modeling and Computation

450 pagesFirst published 20134 editions
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This textbook on statistical modeling and statistical inference will assist advanced undergraduate and graduate students. Statistical Modeling and Computation provides a unique introduction to modern Statistics from both classical and Bayesian perspectives. It also offers an integrated treatment of Mathematical Statistics and modern statistical computation, emphasizing statistical modeling, computational techniques, and applications. Each of the three parts will cover topics essential to university courses. Part I covers the fundamentals of probability theory. In Part II, the authors…

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Editions

4 in Spinefolk
FormatPublisherYearPagesISBN
EditionSpringer20244809781071641316
EditionSpringer New York2016—9781493953325
HardcoverSpringer20134209781461487746
EditionSpringer New York2013—9781461487753
StatisticsProbabilitiesMathematical modelsMATLABComputer simulationStatistics, data processingMathematical statisticsStatistical Theory and Methods