Description |
1 online resource (1 streaming video file (41 min.) : color, sound) |
Series |
Bayesian analysis in marketing : a breakthrough in customer analytics, 2056-4570 |
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Henry Stewart talks. Business & management collection. Bayesian analysis in marketing
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Contents |
Contents: Source of volume and cannibalization -- Product and line optimization questions -- Quick definitions -- Red bus / blue bus example -- What is IID? and IIA? -- We know IIA/IID gets source-of-volume wrong -- When should we care about substitution patterns? -- Source of volume calculations -- Cannibalization = Preference -- How do you handle IIA in your choice models? -- Simulating preference shares: state-of-the-art -- What does proportional substitution look like? -- Industry survey: how do current methods do? -- The SoV Probit -- Why should I care about correlated errors? -- Why aren't we all using Probit models? -- A structured covariance Probit -- Distance metrics -- Choice experiment -- Model fit statistics -- Parameter estimates -- WTP comparison -- Representative correlation matrix -- Does it work? |
Notes |
Animated audio-visual presentation with synchronized narration |
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Title from title frames |
Restricted |
Access restricted to subscribers |
Notes |
Mode of access: World Wide Web |
Subject |
Marketing.
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Probits.
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Form |
Streaming video
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