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  • Probability : An Introduction Through Theory and Exercises - Paolo Baldi
    Probability
    An Introduction Through Theory and Exercises
    Paolo Baldi
    Paperback
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  • Statistical Hypothesis Testing with Microsoft ® Office Excel ® : Synthesis Lectures on Mathematics & Statistics - Robert Hirsch
    Statistical Hypothesis Testing with Microsoft ® Office Excel ®
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  • Quantitative Psychology : The 86th Annual Meeting of the Psychometric Society, Virtual, 2021 - Marie Wiberg
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    Marie Wiberg, Dylan Molenaar and Jorge González
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  • The Mahalanobis Growth Model : A Macrodynamics Approach - Chetan Ghate
    The Mahalanobis Growth Model
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    Chetan Ghate, Srishti Grover and Pawan Gopalakrishnan
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  • Artificial Intelligence for Cybersecurity : Advances in Information Security - Mark Stamp
    Artificial Intelligence for Cybersecurity
    Advances in Information Security
    Mark Stamp, Corrado Aaron Visaggio and Francesco Mercaldo
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  • Data Analytics : A Theoretical and Practical View from the EDISON Project - Juan J. Cuadrado-Gallego
    Data Analytics
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    Juan J. Cuadrado-Gallego and Yuri Demchenko
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  • Stein Estimation : Jss Research in Statistics - Yuzo Maruyama
    Stein Estimation
    Jss Research in Statistics
    Yuzo Maruyama, Tatsuya Kubokawa and William E. Strawderman
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  • Distributed Machine Learning with PySpark : Migrating Effortlessly from Pandas and Scikit-Learn - Abdelaziz Testas
    Distributed Machine Learning with PySpark
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    Abdelaziz Testas
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  • Agriculture-Centric Computation : First International Conference, ICA 2023, Chandigarh, India, May 11-13, 2023, Revised Selected Papers - Mukesh Kumar Saini
    Agriculture-Centric Computation
    First International Conference, ICA 2023, Chand...
    Mukesh Kumar Saini, Neeraj Goel and Hanumant Singh Shekhawat
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  • Stochastic Elasticity : A Nondeterministic Approach to the Nonlinear Field Theory - L. Angela Mihai
    Stochastic Elasticity
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    L. Angela Mihai
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  • Optimization, Simulation and Control : ICOSC 2022, Ulaanbaatar, Mongolia, June 20â
    Optimization, Simulation and Control
    ICOSC 2022, Ulaanbaatar, Mongolia, June 20â"22
    Altannar Chinchuluun, Rentsen Enkhbat and Panos M. Pardalos
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  • Computational and Strategic Business Modelling : IC-BIM 2021, Athens, Greece - Damianos P. Sakas
    Computational and Strategic Business Modelling
    IC-BIM 2021, Athens, Greece
    Damianos P. Sakas, Yulia Taratuhina and Dimitrios K. Nasiopoulos
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  • Sustainable Statistical and Data Science Methods and Practices : Reports from LISA 2020 Global Network, Ghana, 2022 - O. Olawale Awe
    Sustainable Statistical and Data Science Methods and Practices
    Reports from LISA 2020 Global Network, Ghana, 2022
    O. Olawale Awe and Eric A. Vance
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  • Weak Convergence and Empirical Processes : With Applications to Statistics - A. W. van der Vaart
    Weak Convergence and Empirical Processes
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    A. W. van der Vaart and Jon A. Wellner
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  • Sedentary Behaviour Epidemiology : Springer on Epidemiology and Public Health - Michael F. Leitzmann
    Sedentary Behaviour Epidemiology
    Springer on Epidemiology and Public Health
    Michael F. Leitzmann, Carmen Jochem and Daniela Schmid
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  • Model Risk Management : Risk Bounds under Uncertainty - Ludger Rüschendorf
    Model Risk Management
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    Ludger Rüschendorf, Steven Vanduffel and Carole Bernard
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  • Foundations of Applied Statistical Methods - Hang Lee
    Foundations of Applied Statistical Methods
    Hang Lee
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  • Modeling Correlated Outcomes Using Extensions of Generalized Estimating Equations and Linear Mixed Modeling - George J. Knafl
    Modeling Correlated Outcomes Using Extensions of Generalized Estimating Equations and Linear Mixed Modeling
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  • Eco-Stats : Data Analysis in Ecology : From t-tests to Multivariate Abundances - David I Warton
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  • Business Statistics for Competitive Advantage with Excel and JMP : Basics, Model Building, Simulation, and Cases - Cynthia Fraser
    Business Statistics for Competitive Advantage with Excel and JMP
    Basics, Model Building, Simulation, and Cases
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  • The Theory of Epistemic Fields : Fuzzy-Semantic Foundations of Intellectual Categories and Knowledge Factories - Kofi Kissi Dompere
    The Theory of Epistemic Fields
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    Kofi Kissi Dompere
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  • Trotter-Kato Approximations of Stochastic Differential Equations in Infinite Dimensions and Applications - T. E. Govindan
    Trotter-Kato Approximations of Stochastic Differential Equations in Infinite Dimensions and Applications
    T. E. Govindan
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  • Information Technologies and Their Applications : Second International Conference, ITTA 2024, Baku, Azerbaijan, April 23â
    Information Technologies and Their Applications
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    Information Technologies and Their Applications
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  • Machine Learning in Medical Imaging : 15th International Workshop, MLMI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings, Part II - Islem Rekik
    Machine Learning in Medical Imaging
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    Islem Rekik, Zhiming Cui, Xuanang Xu, Xi Ouyang and Kaicong Sun
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  • Machine Learning in Medical Imaging : 15th International Workshop, MLMI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings, Part I - Islem Rekik
    Machine Learning in Medical Imaging
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    Islem Rekik, Zhiming Cui, Xuanang Xu, Xi Ouyang and Kaicong Sun
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    Advanced Statistical Methods in Process Monitoring, Finance, and Environmental Science
    Essays in Honour of Wolfgang Schmid
    Philipp Otto, Yarema Okhrin and Sven Knoth
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    Artificial Intelligence over Infrared Images for Medical Applications
    Third International Conference, AIIIMA 2024, Vi...
    Eddie Y. K. Ng, Siva Teja Kakileti, Robert G. Schwartz and Geetha Manjunath
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  • FOUNDATION OF PROBABILITY THEORY - WANG FENG-YU
    FOUNDATION OF PROBABILITY THEORY
    WANG FENG-YU
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  • Data Science and Artificial Intelligence : Second International Conference, DSAI 2024, Medan, Indonesia, November 13â
    Data Science and Artificial Intelligence
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    Chutiporn Anutariya, Opim Salim Sitompul, Marcello M. Bonsangue and Erna Budhiarti-Nababan
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    Probability Theory, An Analytic View
    Daniel W. Stroock
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  • Modelling Stochastic Uncertainties : From Monte Carlo Simulations to Game Theory - Mohammed Elmusrati
    Modelling Stochastic Uncertainties
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    Mohammed Elmusrati
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  • Transactions on Large-Scale Data- and Knowledge-Centered Systems LVII : Lecture Notes in Computer Science - A Min Tjoa
    Transactions on Large-Scale Data- and Knowledge-Centered Systems LVII
    Lecture Notes in Computer Science
    A Min Tjoa and Abdelkader Hameurlain
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  • The Book of R, 2nd Edition : A First Course in Programming and Statistics - Tilman M. Davies
    The Book of R, 2nd Edition
    A First Course in Programming and Statistics
    Tilman M. Davies
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  • Shape in Medical Imaging : International Workshop, ShapeMI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings - Beatriz Paniagua
    Shape in Medical Imaging
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    Beatriz Paniagua, Shireen Elhabian, Jan Egger, Gijs Luijten and Christian Wachinger
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  • Thinking Analytically : A Guide for Making Data-Driven Decisions - Jim Frost
    Thinking Analytically
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  • Data Science : 10th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2024, Macao, China, September 27â
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    Stochastic Lagrangian Adaptation
    Springerbriefs in Mathematics
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    Identifiability and Regression Analysis of Biological Systems Models
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    Paola Lecca
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    Machine Learning Algorithms
    First International Conference, ICMLA 2024, Him...
    Abhishek Thakur, Rajesh K. Shukla, Praveen Kantha, Meenu Khurana and Chin-Shiuh Shieh
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    Decision Superhero Book 1
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    Eric Torkia and William Klimack
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  • Intelligent Systems in Computing and Communication : First International Conference, ISCComm 2023, Moodabidri, India, December 8â
    Intelligent Systems in Computing and Communication
    First International Conference, ISCComm 2023, M...
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  • Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications : 27th Iberoamerican Congress, CIARP 2024, Talca, Chile, November 26-29, 2024, Proceedings, Part II - Ricardo J. Barrientos
    Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
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    Ricardo J. Barrientos, Sergio A. Velastin and Ruber Hernandez-Garcia
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    Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
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    Ricardo J. Barrientos, Sergio A. Velastin and Ruber Hernandez-Garcia
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    Knowledge and Systems Sciences
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    Engineering Natural Silk
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  • Bayesian Nonparametric Statistics : Ecole d'Ete de Probabilites de Saint-Flour LI - 2023 - Ismael Castillo
    Bayesian Nonparametric Statistics
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    Applied Probability
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    Developments in Statistical Modelling
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    Abraham Otero Quintana, Xose A. Vila, Maria Jose Lado Tourino, Leandro Rodriguez-Linares and Jesus Maria Rodriguez Presedo
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    Progress on the Study of the Ginibre Ensembles
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