On classification of multiple observations with application to marketing analysis

T. P. Logan; A. K. Gupta; Jie Chen

doi:10.1080/01966324.2000.10737521

On classification of multiple observations with application to marketing analysis

T. P. Logan, A. K. Gupta, Jie Chen

Research output: Contribution to journal › Article › peer-review

Abstract

In this paper, we study the likelihood procedure test (LPT) criterion for classification of the two-group multiple observations model, and derive the criterion under different parametric assumptions. A real life marketing data analysis is presented for illustrating the classification method introduced in this paper. It turns out that the LPT method is a useful alternative method in classification of multiple observations model.

Original language	English (US)
Pages (from-to)	387-402
Number of pages	16
Journal	American Journal of Mathematical and Management Sciences
Volume	20
Issue number	3-4
DOIs	https://doi.org/10.1080/01966324.2000.10737521
State	Published - 2000
Externally published	Yes

Keywords

Hierarchical model
Likelihood procedure
Multivariate normal distribution
Null distribution

ASJC Scopus subject areas

General Business, Management and Accounting
Applied Mathematics

Access to Document

10.1080/01966324.2000.10737521

Cite this

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title = "On classification of multiple observations with application to marketing analysis",

abstract = "In this paper, we study the likelihood procedure test (LPT) criterion for classification of the two-group multiple observations model, and derive the criterion under different parametric assumptions. A real life marketing data analysis is presented for illustrating the classification method introduced in this paper. It turns out that the LPT method is a useful alternative method in classification of multiple observations model.",

keywords = "Hierarchical model, Likelihood procedure, Multivariate normal distribution, Null distribution",

author = "Logan, {T. P.} and Gupta, {A. K.} and Jie Chen",

year = "2000",

doi = "10.1080/01966324.2000.10737521",

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AU - Logan, T. P.

AU - Gupta, A. K.

AU - Chen, Jie

PY - 2000

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AB - In this paper, we study the likelihood procedure test (LPT) criterion for classification of the two-group multiple observations model, and derive the criterion under different parametric assumptions. A real life marketing data analysis is presented for illustrating the classification method introduced in this paper. It turns out that the LPT method is a useful alternative method in classification of multiple observations model.

KW - Hierarchical model

KW - Likelihood procedure

KW - Multivariate normal distribution

KW - Null distribution

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DO - 10.1080/01966324.2000.10737521

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EP - 402

JO - American Journal of Mathematical and Management Sciences

JF - American Journal of Mathematical and Management Sciences

IS - 3-4

ER -

On classification of multiple observations with application to marketing analysis

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

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