A note on discrimination and classification using both binary and continuous variables

Research output: Contribution to journalArticleResearchpeer-review

Abstract

The problem of discrimination between two groups and allocating the individual to one or the other, when the data consists of mixture of q binary and p continuous variables has been proposed by Kranzanowski. Sure type of data occur frequently in many biological, agricultural and social sciences experiment. Sometimes experimenter wants to classify the observations into one of the several multivariate populations. The aim of the present paper is to derive a discriminant function from a probablistic model for mixed binary and continuous variables for classifying an observation into one of several multivariate populations.
Original languageEnglish
Pages (from-to)157-159
Number of pages3
JournalJournal of the Indian Society of Agriculture Statistics
Volume35
Issue number2
Publication statusPublished - 1983
Externally publishedYes

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Binary Variables
Continuous Variables
Discrimination
Discriminant Function
Social Sciences
Classify
Binary
Experiment
Observation
Model

Cite this

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title = "A note on discrimination and classification using both binary and continuous variables",
abstract = "The problem of discrimination between two groups and allocating the individual to one or the other, when the data consists of mixture of q binary and p continuous variables has been proposed by Kranzanowski. Sure type of data occur frequently in many biological, agricultural and social sciences experiment. Sometimes experimenter wants to classify the observations into one of the several multivariate populations. The aim of the present paper is to derive a discriminant function from a probablistic model for mixed binary and continuous variables for classifying an observation into one of several multivariate populations.",
author = "Kuldeep Kumar",
year = "1983",
language = "English",
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journal = "Journal of the Indian Society of Agriculture Statistics",
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}

A note on discrimination and classification using both binary and continuous variables. / Kumar, Kuldeep.

In: Journal of the Indian Society of Agriculture Statistics, Vol. 35, No. 2, 1983, p. 157-159.

Research output: Contribution to journalArticleResearchpeer-review

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AB - The problem of discrimination between two groups and allocating the individual to one or the other, when the data consists of mixture of q binary and p continuous variables has been proposed by Kranzanowski. Sure type of data occur frequently in many biological, agricultural and social sciences experiment. Sometimes experimenter wants to classify the observations into one of the several multivariate populations. The aim of the present paper is to derive a discriminant function from a probablistic model for mixed binary and continuous variables for classifying an observation into one of several multivariate populations.

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JO - Journal of the Indian Society of Agriculture Statistics

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