HOW TO ESTIMATE THE AMOUNT OF IMPORTANT CHARACTERISTICS MISSING IN A CONSUMERS SAMPLE BY USING BAYESIAN ESTIMATORS

Pesquisa Operacional

Sueli A. Mingoti¹ 

[1] ,Universidade Federal de Minas Gerais Department of Statistics

关键词: species problem;    Bayesian estimators;    maximum likelihood;    consumers survey;    estimação de espécies;    estimadores Bayesianos;    máxima verossimilhança;    pesquisas de mercado;   

DOI  :  10.1590/S0101-74382001000100003

来源: SciELO

【 摘 要 】

Consumers surveys are conducted very often by many companies with the main objective of obtaining information about the opinions the consumers have about a specific prototype, product or service. In many situations the goal is to identify the characteristics that are considered important by the consumers when taking the decision of buying or using the products or services. When the survey is performed some characteristics that are present in the consumers population might not be reported by those consumers in the observed sample. Therefore, some important characteristics of the product according to the consumers opinions could be missing in the observed sample. The main objective of this paper is to show how the amount of characteristics missing in the observed sample could be easily estimated by using some Bayesian estimators proposed by Mingoti & Meeden (1992) and Mingoti (1999). An example of application related to an automobile survey is presented.

【 授权许可】

CC BY   
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