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  • Structural Health Monitoring Based on Data Science Techniques : Engineering (R0) - Alexandre Cury
    Structural Health Monitoring Based on Data Science Techniques
    Engineering (R0)
    Alexandre Cury, Diogo Ribeiro, Filippo Ubertini and Michael D. Todd
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  • Safety Accidents in Risky Industries : Black Swans, Gray Rhinos and Other Adverse Events - Sasho Andonov
    Safety Accidents in Risky Industries
    Black Swans, Gray Rhinos and Other Adverse Events
    Sasho Andonov
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  • Identifying the Complex Causes of Civil War : A Machine Learning Approach - Atin Basuchoudhary
    Identifying the Complex Causes of Civil War
    A Machine Learning Approach
    Atin Basuchoudhary, James T. Bang, John David and Tinni Sen
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  • Learning Decision Sequences For Repetitive Processes—Selected Algorithms : Intelligent Technologies and Robotics (R0) - Wojciech Rafaj?owicz
    Learning Decision Sequences For Repetitive Processes—Selected Algorithms
    Intelligent Technologies and Robotics (R0)
    Wojciech Rafaj?owicz
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  • Data Science Solutions with Python : Fast and Scalable Models Using Keras, PySpark MLlib, H2O, XGBoost, and Scikit-Learn - Tshepo Chris Nokeri
    Data Science Solutions with Python
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    Tshepo Chris Nokeri
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  • Sentimental Analysis and Deep Learning : Proceedings of ICSADL 2021 - Subarna Shakya
    Sentimental Analysis and Deep Learning
    Proceedings of ICSADL 2021
    Subarna Shakya, Valentina Emilia Balas, Sinchai Kamolphiwong and Ke-Lin Du
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  • Experimental Statistics and Data Analysis for Mechanical and Aerospace Engineers : Advances in Applied Mathematics - James A. Middleton
    Experimental Statistics and Data Analysis for Mechanical and Aerospace Engineers
    Advances in Applied Mathematics
    James A. Middleton
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  • Multivariate Statistical Methods : Going Beyond the Linear - György Terdik
    Multivariate Statistical Methods
    Going Beyond the Linear
    György Terdik
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  • Econometrics and Data Science : Apply Data Science Techniques to Model Complex Problems and Implement Solutions for Economic Problems - Tshepo Chris Nokeri
    Econometrics and Data Science
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    Tshepo Chris Nokeri
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  • Higher-Order Growth Curves and Mixture Modeling with Mplus : A Practical Guide - Kandauda Wickrama
    Higher-Order Growth Curves and Mixture Modeling with Mplus
    A Practical Guide
    Kandauda Wickrama, Tae Kyoung Lee, Catherine Walker O’Neal and Frederick Lorenz
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  • Millimeter-Wave Networks : Beamforming Design and Performance Analysis - Peng Yang
    Millimeter-Wave Networks
    Beamforming Design and Performance Analysis
    Peng Yang, Wen Wu, Ning Zhang and Xuemin Shen
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  • Knowledge Graph and Semantic Computing: Knowledge Graph Empowers New Infrastructure Construction : 6th China Conference, CCKS 2021, Guangzhou, China, November 4-7, 2021, Proceedings - Bing Qin
    Knowledge Graph and Semantic Computing: Knowledge Graph Empowers New Infrastructure Construction
    6th China Conference, CCKS 2021, Guangzhou, Chi...
    Bing Qin, Zhi Jin, Haofen Wang, Jeff Pan and Bo An
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  • Beginning jOOQ : Learn to Write Efficient and Effective Java-Based SQL Database Operations - Tayo Koleoso
    Beginning jOOQ
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    Tayo Koleoso
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  • Statistical Analysis of Microbiome Data : Mathematics and Statistics (R0) - Somnath Datta
    Statistical Analysis of Microbiome Data
    Mathematics and Statistics (R0)
    Somnath Datta and Subharup Guha
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  • The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy : SPIoT-2021 Volume 1 - John Macintyre
    The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy
    SPIoT-2021 Volume 1
    John Macintyre, Jinghua Zhao and Xiaomeng Ma
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  • Probability, Statistics, and Data : A Fresh Approach Using R - Darrin Speegle
    Probability, Statistics, and Data
    A Fresh Approach Using R
    Darrin Speegle and Bryan Clair
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  • Handbook of Multiple Comparisons : Chapman & Hall/CRC Handbooks of Modern Statistical Methods - Xinping Cui
    Handbook of Multiple Comparisons
    Chapman & Hall/CRC Handbooks of Modern Statisti...
    Xinping Cui, Thorsten Dickhaus, Ying Ding and Jason C. Hsu
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  • Soft Computing in Data Science : 6th International Conference, SCDS 2021, Virtual Event, November 2-3, 2021, Proceedings - Azlinah Mohamed
    Soft Computing in Data Science
    6th International Conference, SCDS 2021, Virtua...
    Azlinah Mohamed, Bee Wah Yap, Jasni Mohamad Zain and Michael W. Berry
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  • Image and Graphics Technologies and Applications : 16th Chinese Conference on Image and Graphics Technologies, IGTA 2021, Beijing, China, June 6-7, 2021, Revised Selected Papers - Yongtian Wang
    Image and Graphics Technologies and Applications
    16th Chinese Conference on Image and Graphics T...
    Yongtian Wang and Weitao Song
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  • The Numerate Leader : How to Pull Game-Changing Insights from Statistical Data - Thomas A. King
    The Numerate Leader
    How to Pull Game-Changing Insights from Statist...
    Thomas A. King
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  • Data Science with R for Psychologists and Healthcare Professionals - Christian Ryan
    Data Science with R for Psychologists and Healthcare Professionals
    Christian Ryan
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  • Behavior Analysis with Machine Learning Using R : Chapman & Hall/CRC The R Series - Enrique Garcia Ceja
    Behavior Analysis with Machine Learning Using R
    Chapman & Hall/CRC The R Series
    Enrique Garcia Ceja
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  • Advances in Data Science and Information Engineering : Proceedings from ICDATA 2020 and IKE 2020 - Robert Stahlbock
    Advances in Data Science and Information Engineering
    Proceedings from ICDATA 2020 and IKE 2020
    Robert Stahlbock, Gary M. Weiss, Mahmoud Abou-Nasr, Cheng-Ying Yang and Leonidas Deligiannidis
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  • Artificial Intelligence in Healthcare : Intelligent Technologies and Robotics (R0) - Lalit Garg
    Artificial Intelligence in Healthcare
    Intelligent Technologies and Robotics (R0)
    Lalit Garg, Sebastian Basterrech, Chitresh Banerjee and Tarun K. Sharma
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  • Periodic Pattern Mining : Theory, Algorithms, and Applications - R. Uday Kiran
    Periodic Pattern Mining
    Theory, Algorithms, and Applications
    R. Uday Kiran, Philippe Fournier-Viger, Jose M. Luna, Jerry Chun-Wei Lin and Anirban Mondal
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  • High-Dimensional Covariance Matrix Estimation : An Introduction to Random Matrix Theory - Aygul Zagidullina
    High-Dimensional Covariance Matrix Estimation
    An Introduction to Random Matrix Theory
    Aygul Zagidullina
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    $109.00
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  • Machine Translation : 17th China Conference, CCMT 2021, Xining, China, October 8-10, 2021, Revised Selected Papers - Jinsong Su
    Machine Translation
    17th China Conference, CCMT 2021, Xining, China...
    Jinsong Su and Rico Sennrich
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  • Sabermetrics : Baseball, Steroids, and How the Game has Changed Over the Past Two Generations - Gabriel B. Costa
    Sabermetrics
    Baseball, Steroids, and How the Game has Change...
    Gabriel B. Costa
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  • Semiparametric Odds Ratio Model and Its Applications - Hua Yun Chen
    Semiparametric Odds Ratio Model and Its Applications
    Hua Yun Chen
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  • Introduction to Optimization-Based Decision-Making : Chapman & Hall/CRC Series in Operations Research - Joao Luis de Miranda
    Introduction to Optimization-Based Decision-Making
    Chapman & Hall/CRC Series in Operations Research
    Joao Luis de Miranda
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    $107.79
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  • Research Methods and Data Analysis for Business Decisions : A Primer Using SPSS - James E. Sallis
    Research Methods and Data Analysis for Business Decisions
    A Primer Using SPSS
    James E. Sallis, Geir Gripsrud, Ulf Henning Olsson and Ragnhild Silkoset
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    $109.00
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  • Computer Analysis of Images and Patterns : 19th International Conference, CAIP 2021, Virtual Event, September 28-30, 2021, Proceedings, Part I - Nicolas Tsapatsoulis
    Computer Analysis of Images and Patterns
    19th International Conference, CAIP 2021, Virtu...
    Nicolas Tsapatsoulis, Andreas Panayides, Theo Theocharides, Andreas Lanitis and Mario Vento
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    $129.00
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  • Explainable AI Within the Digital Transformation and Cyber Physical Systems : XAI Methods and Applications - Moamar Sayed-Mouchaweh
    Explainable AI Within the Digital Transformation and Cyber Physical Systems
    XAI Methods and Applications
    Moamar Sayed-Mouchaweh
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    $289.00
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  • Sparse Estimation with Math and Python : 100 Exercises for Building Logic - Joe Suzuki
    Sparse Estimation with Math and Python
    100 Exercises for Building Logic
    Joe Suzuki
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  • Machine Learning with Quantum Computers : Physics and Astronomy (R0) - Maria Schuld
    Machine Learning with Quantum Computers
    Physics and Astronomy (R0)
    Maria Schuld and Francesco Petruccione
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    $209.00
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  • An Introduction to Bayesian Inference, Methods and Computation : Mathematics and Statistics (R0) - Nick Heard
    An Introduction to Bayesian Inference, Methods and Computation
    Mathematics and Statistics (R0)
    Nick Heard
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  • Painless Statistics : Barron's Painless - Patrick Honner
    Painless Statistics
    Barron's Painless
    Patrick Honner
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  • Sophisticated Electromagnetic Forward Scattering Solver via Deep Learning : Engineering (R0) - Qiang Ren
    Sophisticated Electromagnetic Forward Scattering Solver via Deep Learning
    Engineering (R0)
    Qiang Ren, Yinpeng Wang, Yongzhong Li and Shutong Qi
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  • Multimodal Learning for Clinical Decision Support : 11th International Workshop, ML-CDS 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings - Author
    Multimodal Learning for Clinical Decision Support
    11th International Workshop, ML-CDS 2021, Held ...
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  • Access to Non-Summary Clinical Trial Data for Research Purposes Under EU Law : Law and Criminology (R0) - Daria Kim
    Access to Non-Summary Clinical Trial Data for Research Purposes Under EU Law
    Law and Criminology (R0)
    Daria Kim
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    $209.00
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  • Multi-faceted Deep Learning : Models and Data - Jenny Benois-Pineau
    Multi-faceted Deep Learning
    Models and Data
    Jenny Benois-Pineau and Akka Zemmari
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  • Stochastic Optimization for Large-scale Machine Learning - Vinod Kumar Chauhan
    Stochastic Optimization for Large-scale Machine Learning
    Vinod Kumar Chauhan
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  • Deterministic and Stochastic Optimal Control and Inverse Problems - Baasansuren Jadamba
    Deterministic and Stochastic Optimal Control and Inverse Problems
    Baasansuren Jadamba
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  • Application of Machine Learning and Deep Learning Methods to Power System Problems : Energy (R0) - Morteza Nazari-Heris
    Application of Machine Learning and Deep Learning Methods to Power System Problems
    Energy (R0)
    Morteza Nazari-Heris, Somayeh Asadi, Behnam Mohammadi-Ivatloo, Moloud Abdar and Milad Sadat-Mohammadi
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  • Advances in Computing and Data Sciences : 5th International Conference, ICACDS 2021, Nashik, India, April 23-24, 2021, Revised Selected Papers, Part II - Mayank Singh
    Advances in Computing and Data Sciences
    5th International Conference, ICACDS 2021, Nash...
    Mayank Singh, Vipin Tyagi, P. K. Gupta, Jan Flusser and V. R. Sonawane
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  • Advances in Computational Intelligence : 20th Mexican International Conference on Artificial Intelligence, MICAI 2021, Mexico City, Mexico, October 25-30, 2021, Proceedings, Part I - Author
    Advances in Computational Intelligence
    20th Mexican International Conference on Artifi...
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  • Pattern Recognition and Computer Vision : 4th Chinese Conference, PRCV 2021, Beijing, China, October 29 - November 1, 2021, Proceedings, Part I - Huimin Ma
    Pattern Recognition and Computer Vision
    4th Chinese Conference, PRCV 2021, Beijing, Chi...
    Huimin Ma, Liang Wang, Changshui Zhang, Fei Wu and Yao Zhao
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  • Pattern Recognition and Computer Vision : 4th Chinese Conference, PRCV 2021, Beijing, China, October 29 - November 1, 2021, Proceedings, Part II - Author
    Pattern Recognition and Computer Vision
    4th Chinese Conference, PRCV 2021, Beijing, Chi...
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  • Similarity Search and Applications : 14th International Conference, SISAP 2021, Dortmund, Germany, September 29 - October 1, 2021, Proceedings - Nora Reyes
    Similarity Search and Applications
    14th International Conference, SISAP 2021, Dort...
    Nora Reyes, Richard Connor, Nils Kriege, Daniyal Kazempour and Jian-Jia Chen
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  • Confidence Intervals for Discrete Data in Clinical Research : Chapman & Hall/CRC Biostatistics Series - Vivek Pradhan
    Confidence Intervals for Discrete Data in Clinical Research
    Chapman & Hall/CRC Biostatistics Series
    Vivek Pradhan, Ashis Gangopadhyay, Sandeep M. Menon, Cynthia Basu and Tathagata Banerjee
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  • Martingale Methods in Statistics : Chapman & Hall/CRC Monographs on Statistics and Applied Probability - Yoichi Nishiyama
    Martingale Methods in Statistics
    Chapman & Hall/CRC Monographs on Statistics and...
    Yoichi Nishiyama
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  • 2021 International Conference on Big Data Analytics for Cyber-Physical System in Smart City : Volume 1 - Mohammed Atiquzzaman
    2021 International Conference on Big Data Analytics for Cyber-Physical System in Smart City
    Volume 1
    Mohammed Atiquzzaman, Neil Yen and Zheng Xu
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  • Advances on Smart and Soft Computing : Proceedings of ICACIn 2021 - Faisal Saeed
    Advances on Smart and Soft Computing
    Proceedings of ICACIn 2021
    Faisal Saeed, Tawfik Al-Hadhrami, Errais Mohammed and Mohammed Al-Sarem
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  • Randomness and Elements of Decision Theory Applied to Signals : Physics and Astronomy (R0) - Monica Borda
    Randomness and Elements of Decision Theory Applied to Signals
    Physics and Astronomy (R0)
    Monica Borda, Romulus Terebes, Raul Malutan, Ioana Ilea and Stefania Barburiceanu
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  • Data Mining : 19th Australasian Conference on Data Mining, AusDM 2021, Brisbane, QLD, Australia, December 14-15, 2021, Proceedings - Yue Xu
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    Yue Xu, Rosalind Wang, Anton Lord, Yee Ling Boo and Graham Williams
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  • 3D Point Cloud Analysis : Traditional, Deep Learning, and Explainable Machine Learning Methods - Shan Liu
    3D Point Cloud Analysis
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    Shan Liu, Min Zhang, Pranav Kadam and C.-C. Jay Kuo
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  • On the Epistemology of Data Science : Conceptual Tools for a New Inductivism - Wolfgang Pietsch
    On the Epistemology of Data Science
    Conceptual Tools for a New Inductivism
    Wolfgang Pietsch
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  • Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy : Proceedings of the Second International Conference, MMCITRE 2021 - Manoj Sahni
    Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy
    Proceedings of the Second International Confere...
    Manoj Sahni, José M. Merigó, Ritu Sahni and Rajkumar Verma
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  • Computational Intelligence in Data Science : 4th IFIP TC 12 International Conference, ICCIDS 2021, Chennai, India, March 18-20, 2021, Revised Selected Papers - Vallidevi Krishnamurthy
    Computational Intelligence in Data Science
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    Vallidevi Krishnamurthy, Suresh Jaganathan, Kanchana Rajaram and Saraswathi Shunmuganathan
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  • Stochastic Benchmarking : Theory and Applications - Alireza Amirteimoori
    Stochastic Benchmarking
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    Alireza Amirteimoori, Biresh K. Sahoo, Vincent Charles and Saber Mehdizadeh
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  • Deep Learning : A Comprehensive Guide - Shriram K Vasudevan
    Deep Learning
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    Shriram K Vasudevan, Sini Raj Pulari and Subashri Vasudevan
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  • Theory of Statistical Inference : Chapman & Hall/CRC Texts in Statistical Science - Anthony Almudevar
    Theory of Statistical Inference
    Chapman & Hall/CRC Texts in Statistical Science
    Anthony Almudevar
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  • Constrained Markov Decision Processes : Stochastic Modeling Series - Eitan Altman
    Constrained Markov Decision Processes
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    Eitan Altman
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  • Bayesian Methods for Finite Population Sampling : Chapman & Hall/CRC Monographs on Statistics and Applied Probability - Malay Ghosh
    Bayesian Methods for Finite Population Sampling
    Chapman & Hall/CRC Monographs on Statistics and...
    Malay Ghosh and Glen Meeden
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  • Data Governance Success : Growing and Sustaining Data Governance - Rupa Mahanti
    Data Governance Success
    Growing and Sustaining Data Governance
    Rupa Mahanti
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  • Mathematical and Statistical Methods for Actuarial Sciences and Finance : eMAF2020 - Marco Corazza
    Mathematical and Statistical Methods for Actuarial Sciences and Finance
    eMAF2020
    Marco Corazza, Manfred Gilli, Cira Perna, Claudio Pizzi and Marilena Sibillo
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  • Proceedings of International Conference on Computational Intelligence and Emerging Power System : ICCIPS 2021 - Ramesh C. Bansal
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