1973
DOI: 10.2307/3149383
|View full text |Cite
|
Sign up to set email alerts
|

An Entropy Model of Brand Purchase Behavior

Abstract: JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about JSTOR, please contact support@jstor.org.. American Marketing Association is collaborating with JSTOR to digitize, preserve and extend access to A probabilistic model of consumer purchase behavior for frequently purcha… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
12
0

Year Published

1984
1984
2014
2014

Publication Types

Select...
5
4

Relationship

0
9

Authors

Journals

citations
Cited by 61 publications
(12 citation statements)
references
References 0 publications
0
12
0
Order By: Relevance
“…For applications in marketing of reward functions based on information theory, see Hauser (1978) and Herniter (1973). For applications in psychology, see Prelec (2001).…”
Section: Bayesian Advisermentioning
confidence: 99%
“…For applications in marketing of reward functions based on information theory, see Hauser (1978) and Herniter (1973). For applications in psychology, see Prelec (2001).…”
Section: Bayesian Advisermentioning
confidence: 99%
“…It can also be noticed that HavrdaCharvat ITE [196] (or structural α-entropy, recently renamed q-entropy) provides the same probability distribution than the one that follows from Renyi ITE (they differ in the definition of the Lagrange multipliers that the extremum-principle approach introduces, and it can be noticed that Renyi ITE avoids difficulties associated to the other). It can be mentioned that they have been used in a particular problem (with "hidden constraints") of marketing of different brands of toilet soup [236], producing the same result [216], as it should.…”
Section: Thermo-statistics Of Complex Structured Systems and Nesefmentioning
confidence: 99%
“…Year 1960196119621963196419651966196719681969197119721973Diversity Index 5.24055.18985.19215.17865.18815.17205.15144.9840 5.11135.11995.0960 5.0810 5.0604 5.0678 Year 19741975197619771978197919801981198219831984198519861987 The disaggregation of entropy for the above two groups is carried out using equations (2) to (5), and the results are presented in Table III, columns (2) to (7). The aggregated employment diversification indices initially presented in Table II are shown again in column (8).…”
Section: Journal Of Economic Studies 161 26mentioning
confidence: 99%
“…In a marketing context, entropy can represent the distribution of consumer preferences for various brands. For example, Herniter (1973) uses entropy as a measure of uncertainty or disorder in the stochastic system that represents the consumer's preferences for special brands.…”
Section: Introductionmentioning
confidence: 99%