EFFECT OF SAMPLE SIZE ON DISAGGREGATE CHOICE MODEL ESTIMATION AND PREDICTION.

被引：0

作者：

Koppelman, Frank S. ^{[1
]}

Chu, Chaushie ^{[1
]}

机构：

[1] Northwestern Univ, Dep of Civil, Engineering, Evanston, IL, USA, Northwestern Univ, Dep of Civil Engineering, Evanston, IL, USA

来源：

Transportation Research Record | 1983年

关键词：

MATHEMATICAL TECHNIQUES - Error Analysis - SAMPLING;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

The paper provides an empirical foundation for using relationships to guide researchers and planners in the determination of sample size for model development. Analytic relationships are formulated for sample size, precision of parameter estimates, replication of parent population, and replication of an alternative (transfer) population. Application of these relationships to an empirical case indicates that the sample sizes required to obtain reasonably precise parameter estimates are substantially larger than the sample sizes generally considered to be needed for disaggregate model estimation. Nevertheless, these sample sizes appear to be adequate for obtaining reasonably accurate replication of observed choice behavior in the parent population. The corresponding results for prediction to a different population are complicated by the issue of intrapopulation transferability. Samples on the order of 1000 to 2000 observations may be needed for estimation of relatively simple disaggregate choice models.

引用

页码：60 / 69