The SoV probit [electronic resource] : a probit model with structured covariance for similarity effects and source of volume calculations / Jeff Brazell.
Material type:
FilmSeries: Henry Stewart talksBusiness & management collection. Bayesian analysis in marketing: Publisher: London : Henry Stewart Talks, 2010Description: 1 online resource (1 streaming video file (41 min.) : color, sound)Subject(s): Marketing | ProbitsOnline resources: Click here to access online | Series Animated audio-visual presentation with synchronized narration.
Title from title frames.
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?
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Mode of access: World Wide Web.