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Data Analysis and Applications 2

by Christos H. Skiadas, James R. Bozeman

May 2019

Beginner to intermediate

252 pages

6h 29m

English

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Contents

1.1. Introduction1.2. Parametrization for CS independencies1.3. Stratified chain graph models1.4. Application on real data1.5. Conclusion1.6. References
2.1. Introduction2.2. Innovation2.3. Methodology2.4. Results2.5. Conclusion2.6. References
3.1. Introduction3.2. Statistical methodology3.3. Results3.4. Conclusions3.5. Acknowledgment3.6. References
4.1. Introduction4.2. Theory4.3. Results4.4. Conclusion and future work4.5. Acknowledgment4.6. References
5.1. Introduction5.2. The proposed method5.3. Application of method5.4. Conclusions5.5. Appendix5.6. References
6.1. Introduction6.2. Entropy framework to five-star ratings6.3. Maximum entropy of ratings for values k = 1, 2, 3, ..., 306.4. Application to real five-star rating data6.5. Conclusions6.6. References

7.1. Introduction7.2. Italian SMEs and access to credit7.3. The data7.4. Methodology7.5. Analysis and discussion7.6. Conclusion7.7. References
8.1. Introduction8.2. Data, methods and limitations8.3. Results8.4. Conclusions and discussion8.5. References
9.1. Introduction9.2. Data, methods and limitations9.3. Results9.4. Conclusions9.5. References
10.1. Introduction10.2. Recruiters and graduates seeking an HEI common ground.10.3. Web survey pitfalls: considerations for data collection.10.4. Sampled recruiters: an outline10.5. Conclusion10.6. References
11.1. Introduction11.2. Multiplicative models and Zighera’s parameterization.11.3. Application to PISA surveys11.4. References
12.1. Introduction12.2. Topological equivalence12.3. Topological discriminant analysis12.4. Application example12.5. Conclusion and perspectives12.6. Appendix12.7. References
13.1. Introduction13.2. Changes in personalization vector13.3. Adding or removing edges between components13.4. Conclusions13.5. References
14.1. Introduction14.2. The model14.3. Conclusions14.4. References

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Publisher Resources

ISBN: 9781786304476Purchase book