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  • Contributions to Sampling Statistics : Contributions to Statistics - Author
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  • Business Intelligence : Third European Summer School, eBISS 2013, Dagstuhl Castle, Germany, July 7-12, 2013, Tutorial Lectures - Esteban Zimányi
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  • Data Wrangling with R : Use R! - Ph.D. Bradley C. Boehmke
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    Ph.D. Bradley C. Boehmke
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  • Handbook of Biometric Anti-Spoofing : Presentation Attack Detection - Sébastien Marcel
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    Sébastien Marcel
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  • Learn ggplot2 Using Shiny App : Use R! - Keon-Woong Moon
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  • Eigenvalue Problems: Algorithms, Software and Applications in Petascale Computing : EPASA 2015, Tsukuba, Japan, September 2015 - Tetsuya Sakurai
    Eigenvalue Problems: Algorithms, Software and Applications in Petascale Computing
    EPASA 2015, Tsukuba, Japan, September 2015
    Tetsuya Sakurai
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  • Advances and Challenges in Parametric and Semi-parametric Analysis for Correlated Data : Proceedings of the 2015 International Symposium in Statistics - Author
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  • Modern Psychometrics with R : Mathematics and Statistics (R0) - Patrick Mair
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  • Probabilistic Cellular Automata : Theory, Applications and Future Perspectives - Author
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  • Excel 2010 for Engineering Statistics : A Guide to Solving Practical Problems - Thomas J. Quirk
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    Thomas J. Quirk
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  • Mixture Models and Applications : Unsupervised and Semi-Supervised Learning - Nizar Bouguila
    Mixture Models and Applications
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    Nizar Bouguila and Wentao Fan
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  • More Math Into LaTeX : Computer Science (R0) - George Grätzer
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    George Grätzer
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  • Machine Learning Risk Assessments in Criminal Justice Settings - Richard Berk
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    Richard Berk
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  • R Quick Syntax Reference : A Pocket Guide to the Language, APIs and Library - Margot Tollefson
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    Margot Tollefson
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  • Advanced Object-Oriented Programming in R : Statistical Programming for Data Science, Analysis and Finance - Thomas Mailund
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    Thomas Mailund
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  • Linear Programming Using MATLAB® : Springer Optimization and Its Applications : Book 127 - Nikolaos Ploskas
    Linear Programming Using MATLAB®
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    Nikolaos Ploskas and Nikolaos Samaras
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  • Empirical Inference : Festschrift in Honor of Vladimir N. Vapnik - Zhiyuan Luo
    Empirical Inference
    Festschrift in Honor of Vladimir N. Vapnik
    Zhiyuan Luo, Vladimir Vovk and Bernhard Schölkopf
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  • Euclidean Design Theory : SpringerBriefs in Statistics - Masanori Sawa
    Euclidean Design Theory
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    Masanori Sawa, Masatake Hirao and Sanpei Kageyama
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  • Deep Learning in Natural Language Processing - Author
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  • Model Choice in Nonnested Families : SpringerBriefs in Statistics - Basilio de Bragança Pereira
    Model Choice in Nonnested Families
    SpringerBriefs in Statistics
    Basilio de Bragança Pereira and Carlos Alberto de Bragança Pereira
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  • Applied Multidimensional Scaling and Unfolding : Mathematics and Statistics (R0) - Ingwer Borg
    Applied Multidimensional Scaling and Unfolding
    Mathematics and Statistics (R0)
    Ingwer Borg, Patrick J. F. Groenen and Patrick Mair
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  • Grobner Bases : Statistics and Software Systems - Takayuki Hibi
    Grobner Bases
    Statistics and Software Systems
    Takayuki Hibi
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  • Secure Networked Inference with Unreliable Data Sources - Aditya Vempaty
    Secure Networked Inference with Unreliable Data Sources
    Aditya Vempaty, Bhavya Kailkhura and Pramod K. Varshney
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  • Intuitionistic Fuzzy Calculus : Engineering (R0) - Qian Lei
    Intuitionistic Fuzzy Calculus
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    Qian Lei and Zeshui Xu
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  • Model-Free Prediction and Regression : A Transformation-Based Approach to Inference - Dimitris N. Politis
    Model-Free Prediction and Regression
    A Transformation-Based Approach to Inference
    Dimitris N. Politis
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  • Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges : 7th International Workshop, STACOM 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Revised Selected Papers - Tommaso Mansi
    Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges
    7th International Workshop, STACOM 2016, Held i...
    Tommaso Mansi, Kristin McLeod, Mihaela Pop, Kawal Rhode and Alistair Young
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  • Computer Analysis of Images and Patterns : 17th International Conference, CAIP 2017, Ystad, Sweden, August 22-24, 2017, Proceedings, Part I - Michael Felsberg
    Computer Analysis of Images and Patterns
    17th International Conference, CAIP 2017, Ystad...
    Michael Felsberg, Anders Heyden and Norbert Krüger
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  • Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries : Third International Workshop, BrainLes 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 14, 2017, Revised Selected Papers - Alessandro Crimi
    Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries
    Third International Workshop, BrainLes 2017, He...
    Alessandro Crimi, Spyridon Bakas, Hugo Kuijf, Bjoern Menze and Mauricio Reyes
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  • Trends and Perspectives in Linear Statistical Inference : LinStat, Istanbul, August 2016 - Author
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    LinStat, Istanbul, August 2016
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  • Information Processing and Management of Uncertainty in Knowledge-Based Systems : 16th International Conference, IPMU 2016, Eindhoven, The Netherlands, June 20-24, 2016, Proceedings, Part I - Joao Paulo Carvalho
    Information Processing and Management of Uncertainty in Knowledge-Based Systems
    16th International Conference, IPMU 2016, Eindh...
    Joao Paulo Carvalho, Bernadette Bouchon-Meunier, Susana Vieira, Marie-Jeanne Lesot and Ronald R. Yager
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  • Computer Networks : 23rd International Conference, CN 2016, Brunow, Poland, June 14-17, 2016, Proceedings - Author
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  • Advances in Time Series Analysis and Forecasting : Selected Contributions from ITISE 2016 - Author
    Advances in Time Series Analysis and Forecasting
    Selected Contributions from ITISE 2016
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  • Matrices, Statistics and Big Data : Selected Contributions from IWMS 2016 - S. Ejaz Ahmed
    Matrices, Statistics and Big Data
    Selected Contributions from IWMS 2016
    S. Ejaz Ahmed, Francisco Carvalho and Simo Puntanen
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  • Statistical Analysis and Data Display : An Intermediate Course with Examples in R - Richard M. Heiberger
    Statistical Analysis and Data Display
    An Intermediate Course with Examples in R
    Richard M. Heiberger and Burt Holland
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  • Information Processing and Management of Uncertainty in Knowledge-Based Systems : 16th International Conference, IPMU 2016, Eindhoven, The Netherlands, June 20 - 24, 2016, Proceedings, Part II - Author
    Information Processing and Management of Uncertainty in Knowledge-Based Systems
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  • Bayesian Essentials with R : Mathematics and Statistics (R0) - Jean-Michel Marin
    Bayesian Essentials with R
    Mathematics and Statistics (R0)
    Jean-Michel Marin and Christian P. Robert
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  • Theory and Applications of Time Series Analysis : Selected Contributions from ITISE 2018 - Author
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    Selected Contributions from ITISE 2018
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  • Domain Decomposition Methods in Science and Engineering XXII : Mathematics and Statistics (R0) - Thomas Dickopf
    Domain Decomposition Methods in Science and Engineering XXII
    Mathematics and Statistics (R0)
    Thomas Dickopf, Martin J. Gander, Laurence Halpern, Rolf Krause and Luca F. Pavarino
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  • Hypergeometric Summation : An Algorithmic Approach to Summation and Special Function Identities - Wolfram Koepf
    Hypergeometric Summation
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    Wolfram Koepf
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  • Composing Fisher Kernels from Deep Neural Models : A Practitioner's Approach - Tayyaba Azim
    Composing Fisher Kernels from Deep Neural Models
    A Practitioner's Approach
    Tayyaba Azim and Sarah Ahmed
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  • Growth Curve Models and Applications : Indian Statistical Institute, Giridih, India, March 28-29, 2016 - Ratan Dasgupta
    Growth Curve Models and Applications
    Indian Statistical Institute, Giridih, India, M...
    Ratan Dasgupta
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  • Domain-Specific Knowledge Graph Construction : Computer Science (R0) - Mayank Kejriwal
    Domain-Specific Knowledge Graph Construction
    Computer Science (R0)
    Mayank Kejriwal
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  • Statistical Applications from Clinical Trials and Personalized Medicine to Finance and Business Analytics : Selected Papers from the 2015 ICSA/Graybill Applied Statistics Symposium, Colorado State University, Fort Collins - Author
    Statistical Applications from Clinical Trials and Personalized Medicine to Finance and Business Analytics
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  • New Developments in Statistical Modeling, Inference and Application : Selected Papers from the 2014 ICSA/KISS Joint Applied Statistics Symposium in Portland, OR - Zhezhen Jin
    New Developments in Statistical Modeling, Inference and Application
    Selected Papers from the 2014 ICSA/KISS Joint A...
    Zhezhen Jin, Mengling Liu and Xiaolong Luo
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  • Statistical Analysis of Microbiome Data with R : ICSA Book Series in Statistics - Yinglin Xia
    Statistical Analysis of Microbiome Data with R
    ICSA Book Series in Statistics
    Yinglin Xia, Jun Sun and Ding-Geng Chen
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  • Random Graphs, Phase Transitions, and the Gaussian Free Field : PIMS-CRM Summer School in Probability, Vancouver, Canada, June 5-30, 2017 - Martin T. Barlow
    Random Graphs, Phase Transitions, and the Gaussian Free Field
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  • Feistel Ciphers : Security Proofs and Cryptanalysis - Valerie Nachef
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    Valerie Nachef, Jacques Patarin and Emmanuel Volte
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  • Linear Regression - David J. Olive
    Linear Regression
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  • Network Reliability : A Lecture Course - Ilya Gertsbakh
    Network Reliability
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    Ilya Gertsbakh and Yoseph Shpungin
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  • Introduction to Probability with Statistical Applications - Géza Schay
    Introduction to Probability with Statistical Applications
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  • Algorithms for Data Science - Brian Steele
    Algorithms for Data Science
    Brian Steele, John Chandler and Swarna Reddy
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  • Bayesian Statistics and New Generations : BAYSM 2018, Warwick, UK, July 2-3 Selected Contributions - Raffaele Argiento
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    Raffaele Argiento, Daniele Durante and Sara Wade
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  • Modeling and Simulation with Compose and Activate - Stephen L. Campbell
    Modeling and Simulation with Compose and Activate
    Stephen L. Campbell and Ramine Nikoukhah
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  • Advanced R : Data Programming and the Cloud - Matt Wiley
    Advanced R
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  • Optimal Covariate Designs : Theory and Applications - Premadhis Das
    Optimal Covariate Designs
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    Premadhis Das, Ganesh Dutta, Nripes Kumar Mandal and Bikas Kumar Sinha
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  • Broad Learning Through Fusions : An Application on Social Networks - Jiawei Zhang
    Broad Learning Through Fusions
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  • Learn Business Analytics in Six Steps Using SAS and R : A Practical, Step-by-Step Guide to Learning Business Analytics - Subhashini Sharma Tripathi
    Learn Business Analytics in Six Steps Using SAS and R
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  • Applied Analytics through Case Studies Using SAS and R : Implementing Predictive Models and Machine Learning Techniques - Deepti Gupta
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  • Coding Ockham's Razor - Lloyd Allison
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  • Network Science : An Aerial View - Author
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  • Statistical Analysis for High-Dimensional Data : The Abel Symposium 2014 - Ingrid Glad
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    Ingrid Glad, Arnoldo Frigessi, Sylvia Richardson, Peter Bühlmann and Mette Langaas
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  • Estimation and Testing Under Sparsity : Ecole d'Ete de Probabilites de Saint-Flour XLV - 2015 - Sara van de Geer
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  • Applied Predictive Modeling - Max Kuhn
    Applied Predictive Modeling
    Max Kuhn and Kjell Johnson
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  • Monte Carlo Statistical Methods : Springer Texts in Statistics - Christian Robert
    Monte Carlo Statistical Methods
    Springer Texts in Statistics
    Christian Robert and George Casella
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  • Practitioner's Knowledge Representation : A Pathway to Improve Software Effort Estimation - Emilia Mendes
    Practitioner's Knowledge Representation
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    Emilia Mendes
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  • Functional Magnetic Resonance Imaging Processing : Biomedical and Life Sciences (R0) - Xingfeng Li
    Functional Magnetic Resonance Imaging Processing
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    Xingfeng Li
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  • Asymmetric Kernel Smoothing : Theory and Applications in Economics and Finance - Masayuki Hirukawa
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    Masayuki Hirukawa
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  • Gravitational Wave Detection and Data Analysis for Pulsar Timing Arrays : Springer Theses - Rutger van Haasteren
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  • Modelling Organs, Tissues, Cells and Devices : Using MATLAB and COMSOL Multiphysics - Socrates Dokos
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  • Matrix-Based Introduction to Multivariate Data Analysis - Kohei Adachi
    Matrix-Based Introduction to Multivariate Data Analysis
    Kohei Adachi
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    Learning Regression Analysis by Simulation
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  • Excel 2016 for Engineering Statistics : A Guide to Solving Practical Problems - Thomas J. Quirk
    Excel 2016 for Engineering Statistics
    A Guide to Solving Practical Problems
    Thomas J. Quirk
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  • Statistical Analysis of Proteomics, Metabolomics, and Lipidomics Data Using Mass Spectrometry : Frontiers in Probability and the Statistical Sciences - Susmita Datta
    Statistical Analysis of Proteomics, Metabolomics, and Lipidomics Data Using Mass Spectrometry
    Frontiers in Probability and the Statistical Sc...
    Susmita Datta and Bart J. A. Mertens
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  • Excel 2016 for Biological and Life Sciences Statistics : A Guide to Solving Practical Problems - Thomas J. Quirk
    Excel 2016 for Biological and Life Sciences Statistics
    A Guide to Solving Practical Problems
    Thomas J. Quirk, Meghan H. Quirk and Howard F. Horton
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