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The overall objective of this paper is to evaluate the performance and efficiency of ASEAN ports. Specifically, it first identifies overseas ports similar to ASEAN ports in terms of nature and roles, port management policies, and infrastructure and operations, using the statistical technique of cluster analysis. Having identified the groupings of similar ports, the paper compares the ASEAN port performances and efficiency with their (similar) overseas counterparts. The results of the 'like for like' comparison show that the ASEAN ports have achieved higher levels of efficiency in the utilization of cranes, berths and storage areas, with the port of Singapore as the top performer. However, they are generally less efficient in terms of timeliness, labour and tug utilization. Charges in ASEAN ports are also significantly higher than those of their (similar) overseas counterparts. Thus, we can say that, although the ASEAN ports are efficient from the port authorities' viewpoint, there is much scope for improving their services to port users, particularly in terms of timeliness and port charges.

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.. Biometrika Trust is collaborating with JSTOR to digitize, preserve and extend access to Biometrika. SUMMARY Estimation of the optimal linear discriminant function is considered on the basis of a sample of observations known only to belong to a mixture of two univariate normal populations with a common variance. The asymptotic efficiency of the procedure so obtained is evaluated relative to that of Anderson's classification statistic.Some key word8: Asymptotic efficiency; Linear discriminant function; Maximum likelihood estimate; Mixture of normal populations.

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