000 | 03889cam a2200565 i 4500 | ||
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001 | 1422878205 | ||
003 | OCoLC | ||
005 | 20250128170117.0 | ||
006 | m o d | ||
007 | cr cnu---unuuu | ||
008 | 240207s2024 njua ob 001 0 eng | ||
020 |
_a1394219121 _qelectronic book |
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020 |
_a139421913X _qelectronic book |
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020 |
_a1394219148 _qelectronic book |
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020 |
_a9781394219124 _qelectronic book |
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020 |
_a9781394219131 _qelectronic book |
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020 |
_a9781394219148 _qelectronic book |
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020 |
_z9781394219117 _qhardcover |
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035 | _a(OCoLC)1422878205 | ||
037 |
_a9781394219117 _bO'Reilly Media |
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040 |
_aDLC _beng _erda _cDLC _dOCLCO _dYDX _dOCLCO _dORMDA _dDG1 _dUKAHL |
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042 | _apcc | ||
050 | 0 | 4 |
_aHF5415.2 _b.R675 2024 |
100 | 1 |
_aRossi, Peter E. _q(Peter Eric), _d1955- _0https://id.loc.gov/authorities/names/n85822506 _1https://id.oclc.org/worldcat/entity/E39PBJhRH9P66R3BcXdPfch4MP, _eauthor |
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245 | 1 | 0 |
_aBayesian statistics and marketing / _cPeter E. Rossi, Greg M. Allenby, Sanjog Misra |
250 | _aSecond edition | ||
264 | 1 |
_aHoboken, NJ : _bWiley, _c[2024] |
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300 |
_a1 online resource (viii, 391 pages) : _billustrations (some color) |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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340 |
_gpolychrome _2rdacc _0http://rdaregistry.info/termList/RDAColourContent/1003 |
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490 | 1 | _aWiley series in probability and statistics | |
504 | _aIncludes bibliographical references and index | ||
506 | _aAvailable to OhioLINK libraries | ||
520 |
_a"Bayesian statistics can help to provide unique insights into important issues in many fields. Bayesian statistics is not new, but traditionally it has not been widely taught as it is computationally challenging and there were criticisms surrounding the subjectivity of Bayesian methods. As computing power has increased, computational and modelling breakthroughs have made the implementation of Bayesian methods ideal for addressing many marketing problems. Bayesian analyses can now be conducted over a wide range of marketing problems, from new product introduction and pricing to customized targeting and micro-pricing in online environments, using a wide range of different data sources."-- _cProvided by publisher |
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650 | 0 |
_aBayesian statistical decision theory. _0https://id.loc.gov/authorities/subjects/sh85012506 _9739 |
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650 | 0 |
_aMarketing research _0https://id.loc.gov/authorities/subjects/sh85081350 _xMathematical models. _0https://id.loc.gov/authorities/subjects/sh2002007921 |
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650 | 0 |
_aMarketing _xMathematical models. _0https://id.loc.gov/authorities/subjects/sh85081341 _942226 |
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700 | 1 |
_aAllenby, Greg M. _q(Greg Martin), _d1956- _0https://id.loc.gov/authorities/names/no95009010 _1https://id.oclc.org/worldcat/entity/E39PBJtMtVjktcPqCkDPQ33fbd, _eauthor |
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700 | 1 |
_aMisra, Sanjog, _0https://id.loc.gov/authorities/names/no2024014600 _eauthor |
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710 | 2 |
_aOhio Library and Information Network. _0https://id.loc.gov/authorities/names/no95058981 |
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776 | 0 | 8 |
_iPrint version: _aRossi, Peter E. 1955- _tBayesian statistics and marketing _bSecond edition. _dHoboken, NJ : Wiley, [2024] _z9781394219117 _w(DLC) 2024003452 |
830 | 0 |
_aWiley series in probability and statistics. _0https://id.loc.gov/authorities/names/n98048834 |
|
856 | 4 | 0 |
_3OhioLINK _zConnect to resource _uhttps://rave.ohiolink.edu/ebooks/ebc2/9781394219148 |
856 | 4 | 0 |
_3Wiley Online Library _zConnect to resource _uhttps://onlinelibrary.wiley.com/doi/book/10.1002/9781394219148 |
856 | 4 | 0 |
_3Wiley Online Library _zConnect to resource (off-campus) _uhttps://go.ohiolink.edu/goto?url=https://onlinelibrary.wiley.com/doi/book/10.1002/9781394219148 |
856 | 4 | 0 |
_3O'Reilly _zConnect to resource _uhttps://learning.oreilly.com/library/view/~/9781394219117/?ar |
999 |
_c200463742 _d81954 |