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Analyzing data through probabilistic...

Jakóbczak, Dariusz Jacek, (1965-)

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Analyzing data through probabilistic modeling in statistics

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Analyzing data through probabilistic modeling in statistics/ Dariusz Jacek Jakóbczak, editor.
其他作者:	Jakóbczak, Dariusz Jacek,
出版者:	Hershey, Pennsylvania :IGI Global, : 2021.,
面頁冊數:	1 online resource (xix, 331 p.)
內容註:	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.
標題:	Social sciences - Statistical methods. -
電子資源:	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:

529420
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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245 0 0 $a Analyzing data through probabilistic modeling in statistics $h [electronic resource] / $c Dariusz Jacek Jakóbczak, editor.
260 $a Hershey, Pennsylvania : $b IGI Global, $c 2021.
300 $a 1 online resource (xix, 331 p.)
504 $a Includes bibliographical references and index.
505 0 $a 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.
520 3 $a "This book addresses different aspects of probabilistic modeling, stochastic methods, probabilistic distributions, data analysis, optimization methods, and probabilistic methods in risk analysis"-- $c Provided by publisher.
650 0 $a Social sciences $x Statistical methods. $3 529420
650 0 $a Probabilities. $3 518889
700 1 $a Jakóbczak, Dariusz Jacek, $d 1965- $3 3510782
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