Cluster Effects in Mining Complex Data


M. Ishaq Bhatti
La Trobe University, Victoria, Australia

Series: Mathematics Research Developments, Computer Science, Technology and Applications
BISAC: MAT000000

In the last few years, the tremendous growth in the use of clustered survey methods in data mining in the presence of cluster effects has dichotomized the subject of econometrics due to the nature and problems in the way the data is being gathered. This book develops and investigates diagnostic tests for such cluster effects. In addition, this book also considers several aspects of hypothesis testing problems associated with the testing for cluster effects using the multi-stage model, stochastic model and testing for change point problem in more complex data. (Imprint: Nova)



Table of Contents

List of Tables

1. Introduction

2. Modelling clustered survey data

3. Tests for cluster effects of the SSMC model

4. Some tests of the SMC model

5. Testing cluster effects in 2SLR models study

6. Testing for cluster effects in MSLR models

7. Tests for the LNSG Model

8. Stochastic model for cluster effects

9. Testing for Change Point

10. Conclusion



Additional information