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Most popular on Perlego
Introduction to Statistical Investigations
Nathan Tintle, Beth L. Chance, George W. Cobb, Allan J. Rossman, Soma Roy, Todd Swanson, Jill VanderStoep
2020
Survey Methodology
Robert M. Groves, Floyd J. Fowler, Mick P. Couper, James M. Lepkowski, Eleanor Singer, Roger Tourangeau
2011
Elementary Differential Equations and Boundary Value Problems
William E. Boyce, Richard C. DiPrima, Douglas B. Meade
2017
Bayesian Approaches to Clinical Trials and Health-Care Evaluation
David J. Spiegelhalter, Keith R. Abrams, Jonathan P. Myles
2004
Calculus: Single and Multivariable
Deborah Hughes-Hallett, Andrew M. Gleason, William G. McCallum
2017
Introduction to Statistical Investigations
Nathan Tintle, Beth L. Chance, George W. Cobb, Allan J. Rossman, Soma Roy, Todd Swanson, Jill VanderStoep
2020
Survey Methodology
Robert M. Groves, Floyd J. Fowler, Mick P. Couper, James M. Lepkowski, Eleanor Singer, Roger Tourangeau
2011
Elementary Differential Equations and Boundary Value Problems
William E. Boyce, Richard C. DiPrima, Douglas B. Meade
2017
Bayesian Approaches to Clinical Trials and Health-Care Evaluation
David J. Spiegelhalter, Keith R. Abrams, Jonathan P. Myles
2004
Calculus: Single and Multivariable
Deborah Hughes-Hallett, Andrew M. Gleason, William G. McCallum
2017
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Demand Forecasting for Executives and Professionals
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Introduction to Time Series Analysis and Forecasting
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2024
Applied Generative AI for Beginners
Akshay Kulkarni, Adarsha Shivananda, Anoosh Kulkarni, Dilip Gudivada
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Real Analysis
Gustavo Da Silva Araújo, Luis Bernal González, José L. Gámez Merino, María E. Martínez Gómez, Gustavo A. Muñoz Fernández, Daniel L. Rodríguez Vidanes, Juan B. Seoane Sepúlveda
2024
Numerical Methods for Black-Box Software in Computational Continuum Mechanics
Sergey I. Martynenko
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Advanced Mathematical Analysis and its Applications
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An Introduction to Optimization with Applications in Machine Learning and Data Analytics
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Demand Forecasting for Executives and Professionals
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Introduction to Time Series Analysis and Forecasting
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Applied Generative AI for Beginners
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2023
Real Analysis
Gustavo Da Silva Araújo, Luis Bernal González, José L. Gámez Merino, María E. Martínez Gómez, Gustavo A. Muñoz Fernández, Daniel L. Rodríguez Vidanes, Juan B. Seoane Sepúlveda
2024
Numerical Methods for Black-Box Software in Computational Continuum Mechanics
Sergey I. Martynenko
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Advanced Mathematical Analysis and its Applications
Pradip Debnath, Delfim F. M. Torres, Yeol Je Cho
2023
An Introduction to Optimization with Applications in Machine Learning and Data Analytics
Jeffrey Paul Wheeler
2023
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Introduction to Time Series Analysis and Forecasting
Douglas C. Montgomery, Cheryl L. Jennings, Murat Kulahci
2024
Bayesian Data Analysis
Andrew Gelman, John B. Carlin, Hal S. Stern, David B. Dunson, Aki Vehtari, Donald B. Rubin
2013
Bayesian Data Analysis
Andrew Gelman, John B. Carlin, Hal S. Stern, David B. Dunson, Aki Vehtari, Donald B. Rubin
2013
Elementary Differential Equations and Boundary Value Problems, Enhanced eText
William E. Boyce, Richard C. DiPrima, Douglas B. Meade
2017
Demand Forecasting for Executives and Professionals
Stephan Kolassa, Bahman Rostami-Tabar, Enno Siemsen
2023
ROC Analysis for Classification and Prediction in Practice
Christos T Nakas, Leonidas E Bantis, Constantine A Gatsonis
2023
Model-Based Clustering and Classification for Data Science
Charles Bouveyron, Gilles Celeux, T. Brendan Murphy, Adrian E. Raftery
2019
Causal Inference for Statistics, Social, and Biomedical Sciences
Guido W. Imbens, Donald B. Rubin
2015
Introduction to Time Series Analysis and Forecasting
Douglas C. Montgomery, Cheryl L. Jennings, Murat Kulahci
2024
Bayesian Data Analysis
Andrew Gelman, John B. Carlin, Hal S. Stern, David B. Dunson, Aki Vehtari, Donald B. Rubin
2013
Bayesian Data Analysis
Andrew Gelman, John B. Carlin, Hal S. Stern, David B. Dunson, Aki Vehtari, Donald B. Rubin
2013
Elementary Differential Equations and Boundary Value Problems, Enhanced eText
William E. Boyce, Richard C. DiPrima, Douglas B. Meade
2017
Demand Forecasting for Executives and Professionals
Stephan Kolassa, Bahman Rostami-Tabar, Enno Siemsen
2023
ROC Analysis for Classification and Prediction in Practice
Christos T Nakas, Leonidas E Bantis, Constantine A Gatsonis
2023
Model-Based Clustering and Classification for Data Science
Charles Bouveyron, Gilles Celeux, T. Brendan Murphy, Adrian E. Raftery
2019
Causal Inference for Statistics, Social, and Biomedical Sciences
Guido W. Imbens, Donald B. Rubin
2015