Abstract

Compositional data analysis formed a main focus of statistical activities at Hong Kong University when Professor John Aitchison was head of the Statistics department. It was part of a new Master's degree in Statistics that he set up, and as this was the first such post graduate degree to be offered in Hong Kong, it attracted many gifted statisticians from the Government Statistical Service and other employments making it a very lively program.
 Acknowledging the constrained nature of many types of data led to a new way of looking at proportions and percentages of components making up data items. Professor Aitchison's seminal book The statistical analysis of compositional data contains background theory and many examples of data arising from a wide variety of applications such as geology, economics and human behaviour. One example was an analysis of the daily activities of a statistician. This prompted an analysis of classroom activities in a range of classes and schools encountered during teacher training within the Professional Educational Studies department of Hong Kong University. It was found that the nature of the target class and the school level affected the pattern of lesson activities with more listening carried out in the higher target classes and higher level schools. More time was spent dealing with educational equipment in lower level schools.
 Data analytics is increasingly popular in all walks of life and many small and medium enterprises are realising the benefits. Compositional data forms a large part of internal company operational data and its analysis can provide useful insights. For example, the change in proportions of different activities undertaken over time is important information for a service provider. In addition to biplots and coordinate representations of isometric log ratios, using ternary diagrams to illustrate proportions is an informative way to share findings with company staff.

Highlights

  • Staff and students alike were delighted to embrace Professor Aitchison’s erudite and stately leadership of the Statistics department at Hong Kong University from the time he started work there in 1976 to his retirement in 1989. His seminal book The statistical analysis of Analysing Activities in a Classroom compositional data contained background theory and many examples of data arising from applications including geology, economics and human behaviour encountered during his consulting projects with a wide range of colleagues (Aitchison 1986)

  • It was part of a new Master’s degree in Statistics that Professor Aitchison set up, and as this was the first such post graduate degree to be offered in Hong Kong, it attracted many gifted statisticians from the Government Statistical Service and other employments making it a very lively program

  • Learning about compositional data analysis provides an important addition to the knowledge of different types of statistical analysis

Read more

Summary

Introduction

Staff and students alike were delighted to embrace Professor Aitchison’s erudite and stately leadership of the Statistics department at Hong Kong University from the time he started work there in 1976 to his retirement in 1989. His seminal book The statistical analysis of Analysing Activities in a Classroom compositional data contained background theory and many examples of data arising from applications including geology, economics and human behaviour encountered during his consulting projects with a wide range of colleagues (Aitchison 1986). The final section is a conclusion and meditation on the benefits of working with charismatic people

Compositional data analysis examples
Compositional data in a healthcare setting
Conclusions

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.