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Probability and statistics for data science : math + R + data / Norman Matloff.

By: Material type: TextTextPublication details: Boca Raton : CRC Press, c2020.Description: xxxii, 412 p. ; 24 cm. illISBN:
  • 9780367260934
  • 9781138393295
Subject(s): DDC classification:
  • 519.5 23
LOC classification:
  • QA273 .M38 2020
Contents:
Basic probability models -- Monte carlo simulation -- Discrete random variables: expected value -- Discrete random variables: variance -- Discrete parametric distribution families -- Continuous probability models -- Statistics: prologue -- Fitting continuous models -- The family of normal distributions -- Introduction to statistical inference -- Multivariate distributions -- The multivariate normal family of distributions -- Mixture distributions -- Multivariate description and dimension reduction -- Predictive modeling -- Model parsimony and overfitting -- Introduction to discrete time markov chains
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Holdings
Item type Current library Collection Call number Copy number Status Date due Barcode
Books Books Zetech Library - TRC General Stacks Non-fiction QA273 .M38 2020 (Browse shelf(Opens below)) C 2 Available z012263
Books Books Zetech Library - TRC General Stacks Non-fiction QA273 .M38 2020 (Browse shelf(Opens below)) C 1 Available z012262

includes bibliographical references and index.

Basic probability models -- Monte carlo simulation -- Discrete random variables: expected value -- Discrete random variables: variance -- Discrete parametric distribution families -- Continuous probability models -- Statistics: prologue -- Fitting continuous models -- The family of normal distributions -- Introduction to statistical inference -- Multivariate distributions -- The multivariate normal family of distributions -- Mixture distributions -- Multivariate description and dimension reduction -- Predictive modeling -- Model parsimony and overfitting -- Introduction to discrete time markov chains

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