Chapman and Hall/CRC

Showing 121 - 180 out of 3,000+ books
Inference Principles for Biostatisticians_cover
Inference Principles for BiostatisticiansIan C. Marschner
2014
Inference Principles for Biostatisticians
Inference Principles for Biostatisticians
Ian C. Marschner
2014
Image Processing for Cinema_cover
Image Processing for CinemaMarcelo Bertalmio
2014
Image Processing for Cinema
Image Processing for Cinema
Marcelo Bertalmio
2014
Algorithms and Theory of Computation Handbook, Volume 1_cover
Algorithms and Theory of Computation Handbook, Volume 1Mikhail J. Atallah, Marina Blanton
2009
Algorithms and Theory of Computation Handbook, Volume 1
Algorithms and Theory of Computation Handbook, Volume 1
Mikhail J. Atallah, Marina Blanton
2009
Measurement Error in Nonlinear Models_cover
Measurement Error in Nonlinear ModelsRaymond J. Carroll, David Ruppert, Leonard A. Stefanski, Ciprian M. Crainiceanu
2006
Measurement Error in Nonlinear Models
Measurement Error in Nonlinear Models
Raymond J. Carroll, David Ruppert, Leonard A. Stefanski, Ciprian M. Crainiceanu
2006
Modelling Binary Data_cover
Modelling Binary DataDavid Collett
2002
Modelling Binary Data
Modelling Binary Data
David Collett
2002
Second Order Elliptic Integro-Differential Problems_cover
Second Order Elliptic Integro-Differential ProblemsMaria Giovanna Garroni, Jose Luis Menaldi
2002
Second Order Elliptic Integro-Differential Problems
Second Order Elliptic Integro-Differential Problems
Maria Giovanna Garroni, Jose Luis Menaldi
2002
Handbook of Mathematical Techniques for Wave/Structure Interactions_cover
Handbook of Mathematical Techniques for Wave/Structure InteractionsC.M. Linton, P. McIver
2001
Handbook of Mathematical Techniques for Wave/Structure Interactions
Handbook of Mathematical Techniques for Wave/Structure Interactions
C.M. Linton, P. McIver
2001
Basketball Data Science_cover
Basketball Data SciencePaola Zuccolotto, Marica Manisera
2020
Basketball Data Science
Basketball Data Science
Paola Zuccolotto, Marica Manisera
2020
Dynamic Documents with R and knitr_cover
Dynamic Documents with R and knitrYihui Xie
2017
Dynamic Documents with R and knitr
Dynamic Documents with R and knitr
Yihui Xie
2017
Probability and Statistics for Computer Scientists_cover
Probability and Statistics for Computer ScientistsMichael Baron
2019
Probability and Statistics for Computer Scientists
Probability and Statistics for Computer Scientists
Michael Baron
2019
Software Design by Example_cover
Software Design by ExampleGreg Wilson
2024
Software Design by Example
Software Design by Example
Greg Wilson
2024
Modern Data Science with R_cover
Modern Data Science with RBenjamin S. Baumer, Daniel T. Kaplan, Nicholas J. Horton
2021
Modern Data Science with R
Modern Data Science with R
Benjamin S. Baumer, Daniel T. Kaplan, Nicholas J. Horton
2021
Bayesian Thinking in Biostatistics_cover
Bayesian Thinking in BiostatisticsGary L Rosner, Purushottam W. Laud, Wesley O. Johnson
2021
Bayesian Thinking in Biostatistics
Bayesian Thinking in Biostatistics
Gary L Rosner, Purushottam W. Laud, Wesley O. Johnson
2021
Introduction to Probability, Second Edition_cover
Introduction to Probability, Second EditionJoseph K. Blitzstein, Jessica Hwang
2019
Introduction to Probability, Second Edition
Introduction to Probability, Second Edition
Joseph K. Blitzstein, Jessica Hwang
2019
An Introduction to Generalized Linear Models_cover
An Introduction to Generalized Linear ModelsAnnette J. Dobson, Adrian G. Barnett
2018
An Introduction to Generalized Linear Models
An Introduction to Generalized Linear Models
Annette J. Dobson, Adrian G. Barnett
2018
Extending the Linear Model with R_cover
Extending the Linear Model with RJulian J. Faraway
2016
Extending the Linear Model with R
Extending the Linear Model with R
Julian J. Faraway
2016
Introduction to Mathematical Logic_cover
Introduction to Mathematical LogicElliott Mendelson
2015
Introduction to Mathematical Logic
Introduction to Mathematical Logic
Elliott Mendelson
2015
Bayesian Data Analysis_cover
Bayesian Data AnalysisAndrew Gelman, John B. Carlin, Hal S. Stern, David B. Dunson, Aki Vehtari, Donald B. Rubin
2013
Bayesian Data Analysis
Bayesian Data Analysis
Andrew Gelman, John B. Carlin, Hal S. Stern, David B. Dunson, Aki Vehtari, Donald B. Rubin
2013
Using R for Introductory Statistics_cover
Using R for Introductory StatisticsJohn Verzani
2018
Using R for Introductory Statistics
Using R for Introductory Statistics
John Verzani
2018
Using the R Commander_cover
Using the R CommanderJohn Fox
2016
Using the R Commander
Using the R Commander
John Fox
2016
Extending the Linear Model with R_cover
Extending the Linear Model with RJulian J. Faraway
2016
Extending the Linear Model with R
Extending the Linear Model with R
Julian J. Faraway
2016
Exploratory Data Analysis Using R_cover
Exploratory Data Analysis Using RRonald K. Pearson
2026
Exploratory Data Analysis Using R
Exploratory Data Analysis Using R
Ronald K. Pearson
2026
Artificial Intelligence_cover
Artificial IntelligenceAlan Dix
2025
Artificial Intelligence
Artificial Intelligence
Alan Dix
2025
Linear Algebra_cover
Linear AlgebraHugo J. Woerdeman
2021
Linear Algebra
Linear Algebra
Hugo J. Woerdeman
2021
Introduction to Python for Humanists_cover
Introduction to Python for HumanistsWilliam Mattingly
2023
Introduction to Python for Humanists
Introduction to Python for Humanists
William Mattingly
2023
Modeling and Simulation in Python_cover
Modeling and Simulation in PythonJason M. Kinser
2022
Modeling and Simulation in Python
Modeling and Simulation in Python
Jason M. Kinser
2022
Flexible Imputation of Missing Data, Second Edition_cover
Flexible Imputation of Missing Data, Second EditionStef van Buuren
2018
Flexible Imputation of Missing Data, Second Edition
Flexible Imputation of Missing Data, Second Edition
Stef van Buuren
2018
A Concise Introduction to Programming in Python_cover
A Concise Introduction to Programming in PythonMark J. Johnson
2018
A Concise Introduction to Programming in Python
A Concise Introduction to Programming in Python
Mark J. Johnson
2018
An Introduction to Number Theory with Cryptography_cover
An Introduction to Number Theory with CryptographyJames Kraft, Lawrence Washington
2018
An Introduction to Number Theory with Cryptography
An Introduction to Number Theory with Cryptography
James Kraft, Lawrence Washington
2018
Elementary Number Theory_cover
Elementary Number TheoryJames S. Kraft, Lawrence C. Washington
2014
Elementary Number Theory
Elementary Number Theory
James S. Kraft, Lawrence C. Washington
2014
Bayesian Data Analysis_cover
Bayesian Data AnalysisAndrew Gelman, John B. Carlin, Hal S. Stern, David B. Dunson, Aki Vehtari, Donald B. Rubin
2013
Bayesian Data Analysis
Bayesian Data Analysis
Andrew Gelman, John B. Carlin, Hal S. Stern, David B. Dunson, Aki Vehtari, Donald B. Rubin
2013
Martingales and Markov Chains_cover
Martingales and Markov ChainsPaolo Baldi, Laurent Mazliak, Pierre Priouret
2002
Martingales and Markov Chains
Martingales and Markov Chains
Paolo Baldi, Laurent Mazliak, Pierre Priouret
2002
Generalized Linear Mixed Models_cover
Generalized Linear Mixed ModelsWalter W. Stroup, Marina Ptukhina, Julie Garai
2024
Generalized Linear Mixed Models
Generalized Linear Mixed Models
Walter W. Stroup, Marina Ptukhina, Julie Garai
2024
Bayes Rules!_cover
Bayes Rules!Alicia A. Johnson, Miles Q. Ott, Mine Dogucu
2022
Bayes Rules!
Bayes Rules!
Alicia A. Johnson, Miles Q. Ott, Mine Dogucu
2022
Emerging Technologies in Computing_cover
Emerging Technologies in ComputingPramod Kumar, Anuradha Tomar, R. Sharmila
2021
Emerging Technologies in Computing
Emerging Technologies in Computing
Pramod Kumar, Anuradha Tomar, R. Sharmila
2021
Hands-On Machine Learning with R_cover
Hands-On Machine Learning with RBrad Boehmke, Brandon M. Greenwell
2019
Hands-On Machine Learning with R
Hands-On Machine Learning with R
Brad Boehmke, Brandon M. Greenwell
2019
Statistical Computing with R, Second Edition_cover
Statistical Computing with R, Second EditionMaria L. Rizzo
2019
Statistical Computing with R, Second Edition
Statistical Computing with R, Second Edition
Maria L. Rizzo
2019
Introduction to Python Programming_cover
Introduction to Python ProgrammingGowrishankar S, Veena A
2018
Introduction to Python Programming
Introduction to Python Programming
Gowrishankar S, Veena A
2018
Computability Theory_cover
Computability TheoryS. Barry Cooper, S. Barry Cooper
2017
Computability Theory
Computability Theory
S. Barry Cooper, S. Barry Cooper
2017
Differential Equations with Applications and Historical Notes_cover
Differential Equations with Applications and Historical NotesGeorge F. Simmons
2016
Differential Equations with Applications and Historical Notes
Differential Equations with Applications and Historical Notes
George F. Simmons
2016
Introduction to Credit Risk Modeling_cover
Introduction to Credit Risk ModelingChristian Bluhm, Ludger Overbeck, Christoph Wagner
2016
Introduction to Credit Risk Modeling
Introduction to Credit Risk Modeling
Christian Bluhm, Ludger Overbeck, Christoph Wagner
2016
Computational Statistics Handbook with MATLAB_cover
Computational Statistics Handbook with MATLABWendy L. Martinez, Angel R. Martinez
2015
Computational Statistics Handbook with MATLAB
Computational Statistics Handbook with MATLAB
Wendy L. Martinez, Angel R. Martinez
2015
Introduction to Statistical Process Control_cover
Introduction to Statistical Process ControlPeihua Qiu
2013
Introduction to Statistical Process Control
Introduction to Statistical Process Control
Peihua Qiu
2013
Understanding Structural Equation Models_cover
Understanding Structural Equation ModelsPhillip K. Wood
2025
Understanding Structural Equation Models
Understanding Structural Equation Models
Phillip K. Wood
2025
Advanced Engineering Mathematics with MATLAB®_cover
Advanced Engineering Mathematics with MATLAB®Dean G. Duffy
2025
Advanced Engineering Mathematics with MATLAB®
Advanced Engineering Mathematics with MATLAB®
Dean G. Duffy
2025
The Effect_cover
The EffectNick Huntington-Klein
2025
The Effect
The Effect
Nick Huntington-Klein
2025
Operating System Design_cover
Operating System DesignDouglas Comer
2025
Operating System Design
Operating System Design
Douglas Comer
2025
Introduction to Enumerative and Analytic Combinatorics_cover
Introduction to Enumerative and Analytic CombinatoricsMiklos Bona
2025
Introduction to Enumerative and Analytic Combinatorics
Introduction to Enumerative and Analytic Combinatorics
Miklos Bona
2025
Multivariate Statistical Methods_cover
Multivariate Statistical MethodsBryan F. J. Manly, Jorge A. Navarro Alberto, Ken Gerow, Bryan F.J. Manly, Jorge A. Navarro
2024
Multivariate Statistical Methods
Multivariate Statistical Methods
Bryan F. J. Manly, Jorge A. Navarro Alberto, Ken Gerow, Bryan F.J. Manly, Jorge A. Navarro
2024
Modern Statistics with R_cover
Modern Statistics with RMåns Thulin
2024
Modern Statistics with R
Modern Statistics with R
Måns Thulin
2024
An Introduction to Partial Differential Equations with MATLAB_cover
An Introduction to Partial Differential Equations with MATLABMatthew P. Coleman, Vladislav Bukshtynov
2024
An Introduction to Partial Differential Equations with MATLAB
An Introduction to Partial Differential Equations with MATLAB
Matthew P. Coleman, Vladislav Bukshtynov
2024
A First Course in Causal Inference_cover
A First Course in Causal InferencePeng Ding
2024
A First Course in Causal Inference
A First Course in Causal Inference
Peng Ding
2024
Essentials of Computer Architecture_cover
Essentials of Computer ArchitectureDouglas Comer
2024
Essentials of Computer Architecture
Essentials of Computer Architecture
Douglas Comer
2024
Practical Machine Learning with R_cover
Practical Machine Learning with RCarsten Lange
2024
Practical Machine Learning with R
Practical Machine Learning with R
Carsten Lange
2024
Modern Data Visualization with R_cover
Modern Data Visualization with RRobert Kabacoff
2024
Modern Data Visualization with R
Modern Data Visualization with R
Robert Kabacoff
2024
Foundations of Data Science with Python_cover
Foundations of Data Science with PythonJohn M. Shea
2024
Foundations of Data Science with Python
Foundations of Data Science with Python
John M. Shea
2024
Learning Advanced Python by Studying Open Source Projects_cover
Learning Advanced Python by Studying Open Source ProjectsRongpeng Li
2023
Learning Advanced Python by Studying Open Source Projects
Learning Advanced Python by Studying Open Source Projects
Rongpeng Li
2023
Demand Forecasting for Executives and Professionals_cover
Demand Forecasting for Executives and ProfessionalsStephan Kolassa, Bahman Rostami-Tabar, Enno Siemsen
2023
Demand Forecasting for Executives and Professionals
Demand Forecasting for Executives and Professionals
Stephan Kolassa, Bahman Rostami-Tabar, Enno Siemsen
2023
Data Analysis in Medicine and Health using R_cover
Data Analysis in Medicine and Health using RKamarul Imran Musa, Wan Nor Arifin Wan Mansor, Tengku Muhammad Hanis
2023
Data Analysis in Medicine and Health using R
Data Analysis in Medicine and Health using R
Kamarul Imran Musa, Wan Nor Arifin Wan Mansor, Tengku Muhammad Hanis
2023
Big Data Analytics_cover
Big Data AnalyticsUlrich Matter
2023
Big Data Analytics
Big Data Analytics
Ulrich Matter
2023