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  • Practitioner's Knowledge Representation : A Pathway to Improve Software Effort Estimation - Emilia Mendes
    Practitioner's Knowledge Representation
    A Pathway to Improve Software Effort Estimation
    Emilia Mendes
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  • Functional Magnetic Resonance Imaging Processing : Biomedical and Life Sciences (R0) - Xingfeng Li
    Functional Magnetic Resonance Imaging Processing
    Biomedical and Life Sciences (R0)
    Xingfeng Li
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  • Asymmetric Kernel Smoothing : Theory and Applications in Economics and Finance - Masayuki Hirukawa
    Asymmetric Kernel Smoothing
    Theory and Applications in Economics and Finance
    Masayuki Hirukawa
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  • Gravitational Wave Detection and Data Analysis for Pulsar Timing Arrays : Physics and Astronomy (R0) - Rutger van Haasteren
    Gravitational Wave Detection and Data Analysis for Pulsar Timing Arrays
    Physics and Astronomy (R0)
    Rutger van Haasteren
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  • Modelling Organs, Tissues, Cells and Devices : Using MATLAB and COMSOL Multiphysics - Socrates Dokos
    Modelling Organs, Tissues, Cells and Devices
    Using MATLAB and COMSOL Multiphysics
    Socrates Dokos
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  • Matrix-Based Introduction to Multivariate Data Analysis : Mathematics and Statistics (R0) - Kohei Adachi
    Matrix-Based Introduction to Multivariate Data Analysis
    Mathematics and Statistics (R0)
    Kohei Adachi
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  • Learning Regression Analysis by Simulation : Mathematics and Statistics (R0) - Kunio Takezawa
    Learning Regression Analysis by Simulation
    Mathematics and Statistics (R0)
    Kunio Takezawa
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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 : Mathematics and Statistics (R0) - Susmita Datta
    Statistical Analysis of Proteomics, Metabolomics, and Lipidomics Data Using Mass Spectrometry
    Mathematics and Statistics (R0)
    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 - Meghan H. Quirk
    Excel 2016 for Biological and Life Sciences Statistics
    A Guide to Solving Practical Problems
    Meghan H. Quirk, Howard F. Horton and Thomas J. Quirk
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  • Excel 2016 for Business Statistics : A Guide to Solving Practical Problems - Thomas J. Quirk
    Excel 2016 for Business Statistics
    A Guide to Solving Practical Problems
    Thomas J. Quirk
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  • Topics on Methodological and Applied Statistical Inference : Springer Nature Proceedings excluding Computer Science - Tonio Di Battista
    Topics on Methodological and Applied Statistical Inference
    Springer Nature Proceedings excluding Computer ...
    Tonio Di Battista, Elías Moreno and Walter Racugno
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  • Computational Information Geometry : For Image and Signal Processing - Frank Nielsen
    Computational Information Geometry
    For Image and Signal Processing
    Frank Nielsen, Frank Critchley and Christopher T. J. Dodson
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  • Queueing Theory and Network Applications : 14th International Conference, QTNA 2019, Ghent, Belgium, August 27-29, 2019, Proceedings - Tuan Phung-Duc
    Queueing Theory and Network Applications
    14th International Conference, QTNA 2019, Ghent...
    Tuan Phung-Duc, Shoji Kasahara and Sabine Wittevrongel
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  • Algorithmic Game Theory : 9th International Symposium, SAGT 2016, Liverpool, UK, September 19-21, 2016, Proceedings - Martin Gairing
    Algorithmic Game Theory
    9th International Symposium, SAGT 2016, Liverpo...
    Martin Gairing and Rahul Savani
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  • Computational Intelligence Methods for Bioinformatics and Biostatistics : 13th International Meeting, CIBB 2016, Stirling, UK, September 1-3, 2016, Revised Selected Papers - Andrea Bracciali
    Computational Intelligence Methods for Bioinformatics and Biostatistics
    13th International Meeting, CIBB 2016, Stirling...
    Andrea Bracciali, Giulio Caravagna, Roberto Tagliaferri and David Gilbert
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  • Collecting, Processing and Presenting Geoscientific Information : MATLAB® and Design Recipes for Earth Sciences - Martin H. Trauth
    Collecting, Processing and Presenting Geoscientific Information
    MATLAB® and Design Recipes for Earth Sciences
    Martin H. Trauth and Elisabeth Sillmann
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  • Multi-Agent Systems : 16th European Conference, EUMAS 2018, Bergen, Norway, December 6-7, 2018, Revised Selected Papers - Marija Slavkovik
    Multi-Agent Systems
    16th European Conference, EUMAS 2018, Bergen, N...
    Marija Slavkovik
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  • Quantitative Evaluation of Systems : 13th International Conference, QEST 2016, Quebec City, QC, Canada, August 23-25, 2016, Proceedings - Gul Agha
    Quantitative Evaluation of Systems
    13th International Conference, QEST 2016, Quebe...
    Gul Agha and Benny Van Houdt
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  • Quantitative Evaluation of Systems : 16th International Conference, QEST 2019, Glasgow, UK, September 10-12, 2019, Proceedings - David Parker
    Quantitative Evaluation of Systems
    16th International Conference, QEST 2019, Glasg...
    David Parker and Verena Wolf
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  • Modeling Decisions for Artificial Intelligence : 16th International Conference, MDAI 2019, Milan, Italy, September 4-6, 2019, Proceedings - Vicenç Torra
    Modeling Decisions for Artificial Intelligence
    16th International Conference, MDAI 2019, Milan...
    Vicenç Torra, Yasuo Narukawa, Gabriella Pasi and Marco Viviani
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  • Basic Elements of Computational Statistics : Mathematics and Statistics (R0) - Yarema Okhrin
    Basic Elements of Computational Statistics
    Mathematics and Statistics (R0)
    Yarema Okhrin, Ostap Okhrin and Wolfgang Karl Härdle
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  • German-Japanese Interchange of Data Analysis Results : Springer Nature Proceedings excluding Computer Science - Wolfgang Gaul
    German-Japanese Interchange of Data Analysis Results
    Springer Nature Proceedings excluding Computer ...
    Wolfgang Gaul, Andreas Geyer-Schulz, Yasumasa Baba and Akinori Okada
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  • A SAS/IML Companion for Linear Models : Mathematics and Statistics (R0) - Jamis J. Perrett
    A SAS/IML Companion for Linear Models
    Mathematics and Statistics (R0)
    Jamis J. Perrett
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  • Vector Generalized Linear and Additive Models : With an Implementation in R - Thomas W. Yee
    Vector Generalized Linear and Additive Models
    With an Implementation in R
    Thomas W. Yee
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  • Data Science and Social Research : Epistemology, Methods, Technology and Applications - N. Carlo Lauro
    Data Science and Social Research
    Epistemology, Methods, Technology and Applications
    N. Carlo Lauro, Enrica Amaturo, Maria Gabriella Grassia, Biagio Aragona and Marina Marino
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  • Random-Like Bi-level Decision Making : Computer Science (R0) - Jiuping Xu
    Random-Like Bi-level Decision Making
    Computer Science (R0)
    Jiuping Xu, Zongmin Li and Zhimiao Tao
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  • Data Science : Innovative Developments in Data Analysis and Clustering - Angela Montanari
    Data Science
    Innovative Developments in Data Analysis and Cl...
    Angela Montanari, Maurizio Vichi and Francesco Palumbo
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  • Pathways Through Applied and Computational Physics : Physics and Astronomy (R0) - Nicolò Barbero
    Pathways Through Applied and Computational Physics
    Physics and Astronomy (R0)
    Nicolò Barbero, Matteo Delfino, Carlo Palmisano and Gianfranco Zosi
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  • Distributed Computer and Communication Networks : 18th International Conference, DCCN 2015, Moscow, Russia, October 19-22, 2015, Revised Selected Papers - Vladimir Vishnevsky
    Distributed Computer and Communication Networks
    18th International Conference, DCCN 2015, Mosco...
    Vladimir Vishnevsky and Dmitry Kozyrev
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  • Soft Methods for Data Science : Springer Nature Proceedings excluding Computer Science - Maria Brigida Ferraro
    Soft Methods for Data Science
    Springer Nature Proceedings excluding Computer ...
    Maria Brigida Ferraro
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  • Applied Statistical Methods in Agriculture, Health and Life Sciences : Mathematics and Statistics (R0) - Bayo Lawal
    Applied Statistical Methods in Agriculture, Health and Life Sciences
    Mathematics and Statistics (R0)
    Bayo Lawal
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  • Functional Data Structures in R : Advanced Statistical Programming in R - Thomas Mailund
    Functional Data Structures in R
    Advanced Statistical Programming in R
    Thomas Mailund
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  • Outlier Ensembles : An Introduction - Charu C. Aggarwal
    Outlier Ensembles
    An Introduction
    Charu C. Aggarwal and Saket Sathe
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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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  • Integrated Uncertainty in Knowledge Modelling and Decision Making : 6th International Symposium, IUKM 2018, Hanoi, Vietnam, March 15-17, 2018, Proceedings - Van-Nam Huynh
    Integrated Uncertainty in Knowledge Modelling and Decision Making
    6th International Symposium, IUKM 2018, Hanoi, ...
    Van-Nam Huynh, Masahiro Inuiguchi, Dang Hung Tran and Thierry Denoeux
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  • Selected Areas in Cryptography - SAC 2018 : 25th International Conference, Calgary, AB, Canada, August 15-17, 2018, Revised Selected Papers - Carlos Cid
    Selected Areas in Cryptography - SAC 2018
    25th International Conference, Calgary, AB, Can...
    Carlos Cid and Michael J. Jacobson Jr.
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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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  • Parallel Problem Solving from Nature - PPSN XV : 15th International Conference, Coimbra, Portugal, September 8-12, 2018, Proceedings, Part I - Anne Auger
    Parallel Problem Solving from Nature - PPSN XV
    15th International Conference, Coimbra, Portuga...
    Anne Auger, Carlos M. Fonseca, Nuno Lourenço, Penousal Machado and Darrell Whitley
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  • WALCOM: Algorithms and Computation : 12th International Conference, WALCOM 2018, Dhaka, Bangladesh, March 3-5, 2018, Proceedings - M. Sohel Rahman
    WALCOM: Algorithms and Computation
    12th International Conference, WALCOM 2018, Dha...
    M. Sohel Rahman, Wing-Kin Sung and Ryuhei Uehara
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  • Queueing Theory and Network Applications : 13th International Conference, QTNA 2018, Tsukuba, Japan, July 25-27, 2018, Proceedings - Yutaka Takahashi
    Queueing Theory and Network Applications
    13th International Conference, QTNA 2018, Tsuku...
    Yutaka Takahashi, Tuan Phung-Duc, Sabine Wittevrongel and Wuyi Yue
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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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  • Language and Automata Theory and Applications : 12th International Conference, LATA 2018, Ramat Gan, Israel, April 9-11, 2018, Proceedings - Shmuel Tomi Klein
    Language and Automata Theory and Applications
    12th International Conference, LATA 2018, Ramat...
    Shmuel Tomi Klein, Carlos Martín-Vide and Dana Shapira
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  • Trends and Perspectives in Linear Statistical Inference : LinStat, Istanbul, August 2016 - Müjgan Tez
    Trends and Perspectives in Linear Statistical Inference
    LinStat, Istanbul, August 2016
    Müjgan Tez and Dietrich von Rosen
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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 - Piotr Gaj
    Computer Networks
    23rd International Conference, CN 2016, Brunow,...
    Piotr Gaj, Andrzej Kwiecie? and Piotr Stera
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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 - Joao Paulo Carvalho
    Information Processing and Management of Uncertainty in Knowledge-Based Systems
    16th International Conference, IPMU 2016, Eindh...
    Joao Paulo Carvalho, Marie-Jeanne Lesot, Uzay Kaymak, Susana Vieira and Ronald R. Yager
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  • Bayesian Essentials with R : Mathematics and Statistics (R0) - Christian P. Robert
    Bayesian Essentials with R
    Mathematics and Statistics (R0)
    Christian P. Robert and Jean-Michel Marin
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  • Theory and Applications of Time Series Analysis : Selected Contributions from ITISE 2018 - Olga Valenzuela
    Theory and Applications of Time Series Analysis
    Selected Contributions from ITISE 2018
    Olga Valenzuela, Fernando Rojas, Héctor Pomares and Ignacio Rojas
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  • Domain Decomposition Methods in Science and Engineering XXII : Springer Nature Proceedings excluding Computer Science - Thomas Dickopf
    Domain Decomposition Methods in Science and Engineering XXII
    Springer Nature Proceedings excluding Computer ...
    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 - Jianchang Lin
    Statistical Applications from Clinical Trials and Personalized Medicine to Finance and Business Analytics
    Selected Papers from the 2015 ICSA/Graybill App...
    Jianchang Lin, Bushi Wang, Xiaowen Hu, Kun Chen and Ray Liu
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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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  • Applied Machine Learning : Computer Science (R0) - David Forsyth
    Applied Machine Learning
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    David Forsyth
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  • Applied Probability : From Random Sequences to Stochastic Processes - Valérie Girardin
    Applied Probability
    From Random Sequences to Stochastic Processes
    Valérie Girardin and Nikolaos Limnios
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  • Analyzing Qualitative Data with MAXQDA : Text, Audio, and Video - Udo Kuckartz
    Analyzing Qualitative Data with MAXQDA
    Text, Audio, and Video
    Udo Kuckartz and Stefan Rädiker
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  • Machine Learning : A Practical Approach on the Statistical Learning Theory - Moacir Antonelli Ponti
    Machine Learning
    A Practical Approach on the Statistical Learnin...
    Moacir Antonelli Ponti and RODRIGO F MELLO
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  • Python for Probability, Statistics, and Machine Learning : Engineering (R0) - José Unpingco
    Python for Probability, Statistics, and Machine Learning
    Engineering (R0)
    José Unpingco
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  • Partial Least Squares Path Modeling : Basic Concepts, Methodological Issues and Applications - Richard Noonan
    Partial Least Squares Path Modeling
    Basic Concepts, Methodological Issues and Appli...
    Richard Noonan and Hengky Latan
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  • Advanced R Statistical Programming and Data Models : Analysis, Machine Learning, and Visualization - Matt Wiley
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