Analyzing data through probabilistic modeling in statistics /
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| Format: | eBook |
| Language: | English |
| Published: |
Hershey, PA :
Engineering Science Reference, an imprint of IGI Global,
[2021]
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| Series: | Advances in data mining and database management (ADMDM) book series.
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| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- Section 1. Probabilistic modeling in statistics. Chapter 1. Determination of poverty indicators using roc curves in Turkey ; Chapter 2. Data analyzing via probabilistic modeling: interpolation and extrapolation ; Chapter 3. Decision making and data analysis: curve modeling via probabilistic method
- Section 2. Dual approach of data analytics and machine learning modelling in real case scenarios. Chapter 4. Patient arrival to public opds: analysis and use of statistical distribution for improving performance indicators in rural hospitals ; Chapter 5. An econometric overview on growth and impact of online crime and analytics view to combat them ; Chapter 6. A decadal walk on BCI technology: a walkthrough ; Chapter 7. A fusion-based approach to generate and classify synthetic cancer cell image using DCGAN and CNN architecture ; Chapter 8. The rise of "big data" in the field of cloud analytics
- Section 3. Case studies from business and industry. Chapter 9. Analyzing EPQ inventory model with comparison of exponentially increasing demand and Verhult's demand ; Chapter 10. Statistics of an appealing class of random processes ; Chapter 11. The Universality of the Kalman filter: a conditional characteristic function perspective ; Chapter 12. Project control: a Bayesian model.