Computational statistics (Mehr als 1.400 Ergebnisse)

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Paperback. Zustand: Good. Features a step-by-step approach to statistical analysis. Includes illustrative examples from the behavioral and social sciences - applicable to education as well as a broad range of other fields.

Sprache: Englisch
Verlag: Springer, 2005
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Probabilistic Networks and Expert Systems: Exact Computational Methods for Bayesian Networks (Information Science and Statistics)
Cowell, Robert G.; Dawid, Philip; Lauritzen, Steffen L.; Spiegelhalter, David J.
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Hardback. Zustand: Good. Features a step-by-step approach to statistical analysis. Includes illustrative examples from the behavioral and social sciences - applicable to education as well as a broad range of other fields.

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Paperback. Zustand: Good. Features a step-by-step approach to statistical analysis. Includes illustrative examples from the behavioral and social sciences - applicable to education as well as a broad range of other fields.

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Sprache: Englisch
Verlag: Springer, 2005
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Probabilistic Networks and Expert Systems: Exact Computational Methods for Bayesian Networks (Information Science and Statistics)
Spiegelhalter, David J.,Dawid, Philip,Cowell, Robert G.,Lauritzen, Steffen L.
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Hardback. Zustand: Good. Features a step-by-step approach to statistical analysis. Includes illustrative examples from the behavioral and social sciences - applicable to education as well as a broad range of other fields.

Sprache: Englisch
Verlag: Pearson Higher Education & Professional Group, 1987
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Sprache: Englisch
Verlag: Springer, 2005
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Sprache: Englisch
Verlag: Springer-Verlag New York Inc., 2007
- Hardcover
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Hardback. Zustand: Good. This Bayesian modeling book is intended for practitioners and applied statisticians looking for a self-contained entry to computational Bayesian statistics. Focusing on standard statistical models and backed up by discussed real datasets available from the book website, it provides an operational methodology for conducting Bayesian inference, rather than focusing on its theoretical justifications. Special attention is paid to the derivation of prior distributions in each case and specific reference solutions are given for each of the models. Similarly, computational details are worked out to lead the reader towards an effective programming of the methods given in the book.…