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Analyzing data through probabilistic...
~
Jakóbczak, Dariusz Jacek, (1965-)
Analyzing data through probabilistic modeling in statistics
Record Type:
Electronic resources : Monograph/item
Title/Author:
Analyzing data through probabilistic modeling in statisticsDariusz Jacek Jakóbczak, editor.
other author:
Jakóbczak, Dariusz Jacek,
Published:
Hershey, Pennsylvania :IGI Global,2021.
Description:
1 online resource (xix, 331 p.)
Subject:
Social sciencesStatistical methods.
Online resource:
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-4706-9
ISBN:
9781799847076 (ebk.)
Analyzing data through probabilistic modeling in statistics
Analyzing data through probabilistic modeling in statistics
[electronic resource] /Dariusz Jacek Jakóbczak, editor. - Hershey, Pennsylvania :IGI Global,2021. - 1 online resource (xix, 331 p.)
Includes bibliographical references and index.
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.
"This book addresses different aspects of probabilistic modeling, stochastic methods, probabilistic distributions, data analysis, optimization methods, and probabilistic methods in risk analysis"--
ISBN: 9781799847076 (ebk.)Subjects--Topical Terms:
182009
Social sciences
--Statistical methods.
LC Class. No.: HA29 / .A53 2021
Dewey Class. No.: 001.4/22
Analyzing data through probabilistic modeling in statistics
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Analyzing data through probabilistic modeling in statistics
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[electronic resource] /
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Dariusz Jacek Jakóbczak, editor.
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Hershey, Pennsylvania :
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IGI Global,
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2021.
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1 online resource (xix, 331 p.)
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Includes bibliographical references and index.
505
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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.
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"This book addresses different aspects of probabilistic modeling, stochastic methods, probabilistic distributions, data analysis, optimization methods, and probabilistic methods in risk analysis"--
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Provided by publisher.
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Social sciences
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Statistical methods.
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182009
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Jakóbczak, Dariusz Jacek,
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1965-
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http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-4706-9
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