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  • Progressive Censoring : Theory, Methods, and Applications - N. Balakrishnan
    Progressive Censoring
    Theory, Methods, and Applications
    N. Balakrishnan and Rita Aggarwala
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  • Statistical and Probabilistic Models in Reliability - Nikolaos Limnios
    Statistical and Probabilistic Models in Reliability
    Nikolaos Limnios and Dumitru Cezar Ionescu
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  • Control of Distributed Parameter and Stochastic Systems : Proceedings of the IFIP WG 7.2 International Conference, June 19-22, 1998 Hangzhou, China - Shuping Chen
    Control of Distributed Parameter and Stochastic Systems
    Proceedings of the IFIP WG 7.2 International Co...
    Shuping Chen, Xunjing Li and Jiongming Yong
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  • Classical and Spatial Stochastic Processes - Rinaldo B. Schinazi
    Classical and Spatial Stochastic Processes
    Rinaldo B. Schinazi
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  • Information Handling in Astronomy - André Heck
    Information Handling in Astronomy
    André Heck
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  • The Nature of Statistical Learning Theory - Vladimir Vapnik
    The Nature of Statistical Learning Theory
    Vladimir Vapnik
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  • Markov Chains : Gibbs Fields, Monte Carlo Simulation, and Queues - Pierre Bremaud
    Markov Chains
    Gibbs Fields, Monte Carlo Simulation, and Queues
    Pierre Bremaud
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  • COMPSTAT : Proceedings in Computational Statistics 14th Symposium held in Utrecht, The Netherlands, 2000 - Jelke G. Bethlehem
    COMPSTAT
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    Jelke G. Bethlehem and Peter G.M. van der Heijden
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  • Functional and High-Dimensional Statistics and Related Fields - Germán Aneiros
    Functional and High-Dimensional Statistics and Related Fields
    Germán Aneiros, Philippe Vieu and Enea G. Bongiorno
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  • Non-Asymptotic Analysis of Approximations for Multivariate Statistics - Yasunori Fujikoshi
    Non-Asymptotic Analysis of Approximations for Multivariate Statistics
    Yasunori Fujikoshi and Vladimir V. Ulyanov
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  • Boundary Value Problems and Markov Processes : Functional Analysis Methods for Markov Processes - Kazuaki Taira
    Boundary Value Problems and Markov Processes
    Functional Analysis Methods for Markov Processes
    Kazuaki Taira
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  • Regression and Other Stories - Andrew Gelman
    Regression and Other Stories
    Andrew Gelman, Jennifer Hill and Aki Vehtari
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  • Big Data 2.0 Processing Systems : A Systems Overview - Sherif Sakr
    Big Data 2.0 Processing Systems
    A Systems Overview
    Sherif Sakr
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  • Probabilistic Extensions of Various Logical Systems - Zoran Ognjanovi?
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    Zoran Ognjanovi?
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  • Belief Change - Dov M. Gabbay
    Belief Change
    Dov M. Gabbay and Philippe Smets
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  • Updated Version of The Practice of Statistics for the APA Course (Student Edition) - Daren Starnes
    Updated Version of The Practice of Statistics for the APA Course (Student Edition)
    Daren Starnes and Josh Tabor
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  • Statistics : Unlocking the Power of Data - Robin H. Lock
    Statistics
    Unlocking the Power of Data
    Robin H. Lock, Patti Frazer Lock, Kari Lock Morgan, Eric F. Lock and Dennis F. Lock
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  • Visual Analytics for Data Scientists - Natalia Andrienko
    Visual Analytics for Data Scientists
    Natalia Andrienko, Gennady Andrienko, Georg Fuchs, Aidan Slingsby and Stefan Wrobel
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  • Statistics and Probability with Applications (High School Edition) - josh tabor
    Statistics and Probability with Applications (High School Edition)
    josh tabor and Daren Starnes
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  • Fundamentals of Pattern Recognition and Machine Learning - Ulisses Braga-Neto
    Fundamentals of Pattern Recognition and Machine Learning
    Ulisses Braga-Neto
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  • Understanding the Analytic Hierarchy Process : Chapman & Hall/CRC Series in Operations Research - Konrad Kulakowski
    Understanding the Analytic Hierarchy Process
    Chapman & Hall/CRC Series in Operations Research
    Konrad Kulakowski
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  • Introduction to Probability - Mark Daniel WARD
    Introduction to Probability
    Mark Daniel WARD and Elisabeth A Gundlach
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  • Mathematical Problems : An Essay on Their Nature and Importance - Craig Smory?ski
    Mathematical Problems
    An Essay on Their Nature and Importance
    Craig Smory?ski
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  • Machine Learning Methods for Stylometry : Authorship Attribution and Author Profiling - Jacques Savoy
    Machine Learning Methods for Stylometry
    Authorship Attribution and Author Profiling
    Jacques Savoy
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  • Processing Networks : Fluid Models and Stability - J. G. Dai
    Processing Networks
    Fluid Models and Stability
    J. G. Dai and J. Michael Harrison
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  • Business and Financial Statistics Using Minitab 12 and Microsoft Excel 97 - John C Lee
    Business and Financial Statistics Using Minitab 12 and Microsoft Excel 97
    John C Lee
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  • Processing Random Data : Statistics for Engineers and Scientists - Robert V Edwards
    Processing Random Data
    Statistics for Engineers and Scientists
    Robert V Edwards
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  • Multivariate Statistical Analysis - Parimal Mukhopadhyay
    Multivariate Statistical Analysis
    Parimal Mukhopadhyay
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  • A First Course in Probability and Statistics - B L S Prakasa Rao
    A First Course in Probability and Statistics
    B L S Prakasa Rao
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  • Theory of Sample Surveys - Arjun K Gupta
    Theory of Sample Surveys
    Arjun K Gupta and D G Kabe
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  • Measurement Analysis : An Introduction to the Statistical Analysis of Laboratory Data in Physics, Chemistry and the Life Sciences - Mario Caria
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    An Introduction to the Statistical Analysis of ...
    Mario Caria
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  • Large Sample Inference for Long Memory Processes - Liudas Giraitis
    Large Sample Inference for Long Memory Processes
    Liudas Giraitis, Hira L Koul and Donatas Surgailis
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  • Functional Gaussian Approximation for Dependent Structures - Florence Merlevède
    Functional Gaussian Approximation for Dependent Structures
    Florence Merlevède, Magda Peligrad and Sergey Utev
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  • Modelling Frequency and Count Data - J. K. Lindsey
    Modelling Frequency and Count Data
    J. K. Lindsey
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  • Non-Standard Parametric Statistical Inference - Russell Cheng
    Non-Standard Parametric Statistical Inference
    Russell Cheng
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  • Bayesian Theory and Applications - Nicholas Polson
    Bayesian Theory and Applications
    Nicholas Polson, Paul Damien and Petros Dellaportas
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  • Nonlinear Time Series Analysis with R - Ray Huffaker
    Nonlinear Time Series Analysis with R
    Ray Huffaker, Marco Bittelli and Rodolfo Rosa
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  • Stochastic Processes and Random Matrices : Lecture Notes of the Les Houches Summer School: Volume 104, July 2015 - Grégory Schehr
    Stochastic Processes and Random Matrices
    Lecture Notes of the Les Houches Summer School:...
    Grégory Schehr, Alexander Altland and Yan V. Fyodorov
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  • Bayesian Statistics for Beginners : A Step-by-Step Approach - Therese M. Donovan
    Bayesian Statistics for Beginners
    A Step-by-Step Approach
    Therese M. Donovan and Ruth M. Mickey
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  • The Joy of Statistics : A Treasury of Elementary Statistical Tools and their Applications - Steve Selvin
    The Joy of Statistics
    A Treasury of Elementary Statistical Tools and ...
    Steve Selvin
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  • Introductory Mathematics and Statistics through Sports : Supplementary Activities and Writing Projects - Tricia Muldoon Brown
    Introductory Mathematics and Statistics through Sports
    Supplementary Activities and Writing Projects
    Tricia Muldoon Brown and Eric B. Kahn
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  • Matheron's Theory of Regionalised Variables - Georges Matheron
    Matheron's Theory of Regionalised Variables
    Georges Matheron
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  • Deep Learning in Smart eHealth Systems : Evaluation Leveraging for Parkinson's Disease - Asma Channa
    Deep Learning in Smart eHealth Systems
    Evaluation Leveraging for Parkinson's Disease
    Asma Channa and Nirvana Popescu
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  • New Metaheuristic Schemes : Mechanisms and Applications - Erik Cuevas
    New Metaheuristic Schemes
    Mechanisms and Applications
    Erik Cuevas, Daniel Zaldívar and Marco Pérez-Cisneros
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  • Statistical Methods : Connections, Equivalencies, and Relationships - Kenneth J. Berry
    Statistical Methods
    Connections, Equivalencies, and Relationships
    Kenneth J. Berry and Janis E. Johnston
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  • Artificial Intelligence, Fintech, and Financial Inclusion : Innovations in Big Data and Machine Learning - Rajat Gera
    Artificial Intelligence, Fintech, and Financial Inclusion
    Innovations in Big Data and Machine Learning
    Rajat Gera, Djamchid Assadi and Marzena Starnawska
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  • Artificial Intelligence in Education Technologies: New Development and Innovative Practices : Proceedings of 2023 4th International Conference on Artificial Intelligence in Education Technology - Tim Schlippe
    Artificial Intelligence in Education Technologies: New Development and Innovative Practices
    Proceedings of 2023 4th International Conferenc...
    Tim Schlippe, Eric C. K. Cheng and Tianchong Wang
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  • Statistical Modeling Using Bayesian Latent Gaussian Models : With Applications in Geophysics and Environmental Sciences - Birgir Hrafnkelsson
    Statistical Modeling Using Bayesian Latent Gaussian Models
    With Applications in Geophysics and Environment...
    Birgir Hrafnkelsson
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  • Domain Generalization with Machine Learning in the NOvA Experiment : Physics and Astronomy (R0) - Andrew T. C. Sutton
    Domain Generalization with Machine Learning in the NOvA Experiment
    Physics and Astronomy (R0)
    Andrew T. C. Sutton
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  • Recent Advances and Applications of Fuzzy Metric Fixed Point Theory - Dhananjay Gopal
    Recent Advances and Applications of Fuzzy Metric Fixed Point Theory
    Dhananjay Gopal and Juan Martinez Moreno
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  • The Independence of Official Statistics : Norms, Arrangements, Instruments - Jean-Guy Prévost
    The Independence of Official Statistics
    Norms, Arrangements, Instruments
    Jean-Guy Prévost
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  • Theory and Applications of Time Series Analysis : Selected Contributions from ITISE 2022 - Olga Valenzuela
    Theory and Applications of Time Series Analysis
    Selected Contributions from ITISE 2022
    Olga Valenzuela, Fernando Rojas, Luis Javier Herrera, Héctor Pomares and Ignacio Rojas
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  • Mathematicians Playing Games : AK Peters/CRC Recreational Mathematics Series - Jon-Lark Kim
    Mathematicians Playing Games
    AK Peters/CRC Recreational Mathematics Series
    Jon-Lark Kim
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  • Spatial Statistics for Data Science : Theory and Practice with R - Paula Moraga
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    Theory and Practice with R
    Paula Moraga
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  • Data Analytics : A Theoretical and Practical View from the EDISON Project - Juan J. Cuadrado-Gallego
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    Juan J. Cuadrado-Gallego and Yuri Demchenko
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  • Information Technologies in the Design of Aerospace Engineering : Engineering (R0) - Mykola Nechyporuk
    Information Technologies in the Design of Aerospace Engineering
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    Mykola Nechyporuk, Volodymyr Pavlikov and Dmytro Krytskyi
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  • Deep Learning for Power System Applications : Case Studies Linking Artificial Intelligence and Power Systems - Fangxing Li
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    Fangxing Li and Yan Du
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  • Developing the Intuitive Executive : Using Analytics and Intuition for Success - Jay Liebowitz
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    Jay Liebowitz
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  • Machine Learning Contests : A Guidebook - Wang He
    Machine Learning Contests
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    Wang He, Peng Liu and Qian Qian
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  • Magnetic Resonance Brain Imaging : Modelling and Data Analysis Using R - Jörg Polzehl
    Magnetic Resonance Brain Imaging
    Modelling and Data Analysis Using R
    Jörg Polzehl and Karsten Tabelow
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  • Advances in Neural Computation, Machine Learning, and Cognitive Research VII : Selected Papers from the XXV International Conference on Neuroinformatics, October 23-27, 2023, Moscow, Russia - Boris Kryzhanovsky
    Advances in Neural Computation, Machine Learning, and Cognitive Research VII
    Selected Papers from the XXV International Conf...
    Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko, Yury Tiumentsev and Valentin Klimov
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  • Intelligent Systems : 12th Brazilian Conference, BRACIS 2023, Belo Horizonte, Brazil, September 25-29, 2023, Proceedings, Part III - Murilo C. Naldi
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    12th Brazilian Conference, BRACIS 2023, Belo Ho...
    Murilo C. Naldi and Reinaldo A. C. Bianchi
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  • Intelligent Systems : 12th Brazilian Conference, BRACIS 2023, Belo Horizonte, Brazil, September 25-29, 2023, Proceedings, Part II - Murilo C. Naldi
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    Murilo C. Naldi and Reinaldo A. C. Bianchi
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  • Intelligent Systems : 12th Brazilian Conference, BRACIS 2023, Belo Horizonte, Brazil, September 25-29, 2023, Proceedings, Part I - Murilo C. Naldi
    Intelligent Systems
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    Murilo C. Naldi and Reinaldo A. C. Bianchi
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  • Regression Analysis By Example Using R : Wiley Series in Probability and Statistics - Ali S. Hadi
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    Wiley Series in Probability and Statistics
    Ali S. Hadi and Samprit Chatterjee
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  • Metaverse : Technologies, Opportunities and Threats - Fatih Sinan Esen
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    Fatih Sinan Esen, Hasan Tinmaz and Madhusudan Singh
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  • Analyticity and Sparsity in Uncertainty Quantification for PDEs with Gaussian Random Field Inputs : Mathematics and Statistics (R0) - Dinh D?ng
    Analyticity and Sparsity in Uncertainty Quantification for PDEs with Gaussian Random Field Inputs
    Mathematics and Statistics (R0)
    Dinh D?ng, Van Kien Nguyen, Christoph Schwab and Jakob Zech
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  • Domain Adaptation and Representation Transfer : 5th MICCAI Workshop, DART 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings - Lisa Koch
    Domain Adaptation and Representation Transfer
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    Lisa Koch, M. Jorge Cardoso, Enzo Ferrante, Konstantinos Kamnitsas and Dong Yang
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  • Machine Learning for Astrophysics : Proceedings of the ML4Astro International Conference 30 May - 1 Jun 2022 - Filomena Bufano
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    Filomena Bufano, Simone Riggi, Eva Sciacca and Francesco Schilliro
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  • Machine Learning in Medical Imaging : 14th International Workshop, MLMI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings, Part I - Xiaohuan Cao
    Machine Learning in Medical Imaging
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    Xiaohuan Cao, Xuanang Xu, Islem Rekik, Zhiming Cui and Xi Ouyang
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  • Specialty Crops for Climate Change Adaptation : Strategies for Enhanced Food Security by Using Machine Learning and Artificial Intelligence - Chandrasekar Vuppalapati
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    Chandrasekar Vuppalapati
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  • Machine Learning in Medical Imaging : 14th International Workshop, MLMI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings, Part II - Xiaohuan Cao
    Machine Learning in Medical Imaging
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    Xiaohuan Cao, Xuanang Xu, Islem Rekik, Zhiming Cui and Xi Ouyang
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  • From Classical Analysis to Analysis on Fractals : A Tribute to Robert Strichartz, Volume 1 - Patricia Alonso Ruiz
    From Classical Analysis to Analysis on Fractals
    A Tribute to Robert Strichartz, Volume 1
    Patricia Alonso Ruiz, Michael Hinz, Kasso A. Okoudjou, Luke G. Rogers and Alexander Teplyaev
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  • Stochastic Dynamic Response and Stability of Ships and Offshore Platforms : Engineering (R0) - Yingguang Wang
    Stochastic Dynamic Response and Stability of Ships and Offshore Platforms
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    Yingguang Wang
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