Cluster effects in mining complex data
Author(s)
Bibliographic Information
Cluster effects in mining complex data
（Computer science, technology and applications）（Mathematics research developments series）
Nova Science Publisher's, c2012
- : hardcover
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Note
Includes bibliographical references and index
Description and Table of Contents
Description
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 dichotomised 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 linear regression model. Throughout the book the principle of invariance is used to eliminate the nuisance parameters where possible, thus reducing the dimension of the testing problems
Table of Contents
- Preface
- Introduction
- Modelling clustered survey data
- Tests for cluster effects of the SSMC model
- Some tests of the SMC model
- Testing cluster effects in 2SLR models study
- Testing for cluster effects in MSLR models
- Tests for the LNSG Model
- Stochastic model for cluster effects
- Testing for Change Point
- Conclusion
- Bibliography
- Index.
by "Nielsen BookData"
