Author: Wendy L. Martinez
Edition: 1
Publisher: Chapman and Hall/CRC
Binding: Hardcover
ISBN: 1584882298
Computational Statistics Handbook with MATLAB (Chapman & Hall/CRC Computer Science & Data Analysis)
Approaching computational statistics through its theoretical aspects can be daunting. Medical books Computational Statistics Handbook with MATLAB . Often intimidated or distracted by the theory, researchers and students can lose sight of the actual goals and applications of the subject. What they need are its key concepts, an understanding of its methods, experience with its implementation, and practice with computational software.
Focusing on the computational aspects of statistics rather than the theoretical, Computational Statistics Handbook with MATLAB uses a down-to-earth approach that makes statistics accessible to a wide range of users. The authors integrate the use of MATLAB throughout the book, allowing readers to see the actual implementation of algorithms, but also include step-by-step procedures to allow implementation with any suitable software Medical books Computational Statistics Handbook with MATLAB. As with the best-selling first edition, Computational Statistics Handbook with MATLAB makes computational statistics as accessible as possible by playing down theory and building an understanding of the algorithms used in a wide range of applications. The second edition recognizes the new functionality of the MATLAB statistics toolbox and other updates like the new plotting capabilities of version 7.0. It includes discussion of GUI functionality and expanded coverage of such topics as support vector machines, bagging, boosting, and random forests in pattern recognition. The text also features updated and new problem sets, data sets, exercises, and an appendix containing answers to selected problems.
Download link for Computational Statistics Handbook with MATLAB
As with the best-selling first edition, Computational Statistics Handbook with MATLAB makes computational statistics as accessible as possible by playing down theory and building an understanding of the algorithms used in a wide range of applications. The second edition recognizes the new functionality of the MATLAB statistics toolbox and other updates like the new plotting capabilities of version 7.0. It includes discussion of GUI functionality and expanded coverage of such topics as support vector machines, bagging, boosting, and random forests in pattern recognition. The text also features
Computational Statistics Handbook with MATLAB : Hardback : Taylor & Francis Inc : 9781584885665 : 1584885661 : 20 Dec 2007 : Provides access to computational statistics by playing down theory and building an understanding of the algorithms used in a wide range of applications. This text recognizes the functionality of the MATLAB[registered] statistics toolbox. It includes a discussion of GUI functionality and coverage of topics such as support vector machines.
Chapman Hall/CRC 9781584885665 Computational Statistics Handbook with MATLAB (2nd Edition) Description The authors make computational statistics as accessible as possible by playing down theory and building an understanding of the algorithms used in a wide range of applications. This second edition recognizes the new functionality of the MATLAB statistics toolbox and other updates like the new plotting capabilities of Version 7.0. *Author: Martinez, Wendy L./ Martinez, Angel R. *Series Title: C
As with the best-selling first edition, Computational Statistics Handbook with MATLAB makes computational statistics as accessible as possible by playing down theory and building an understanding of the algorithms used in a wide range of applications. The second edition recognizes the new functionality of the MATLAB statistics toolbox and other updates like the new plotting capabilities of version 7.0. It includes discussion of GUI functionality and expanded coverage of such topics as support vector machines, bagging, boosting, and random forests in pattern recognition. The text also features
Medical Book Computational Statistics Handbook with MATLAB
Often intimidated or distracted by the theory, researchers and students can lose sight of the actual goals and applications of the subject. What they need are its key concepts, an understanding of its methods, experience with its implementation, and practice with computational software.
Focusing on the computational aspects of statistics rather than the theoretical, Computational Statistics Handbook with MATLAB uses a down-to-earth approach that makes statistics accessible to a wide range of users. The authors integrate the use of MATLAB throughout the book, allowing readers to see the actual implementation of algorithms, but also include step-by-step procedures to allow implementation with any suitable software. The book concentrates on the simulation/Monte Carlo point of view, and contains algorithms for exploratory data analysis, modeling, Monte Carlo simulation, pattern recognition, bootstrap, classification, cross-validation methods, probability density estimation, random number generation, and other computational statistics methods.
Emphasis on the practical aspects of statistics, details of the latest techniques, and real implementation experience make the Computational Statistics Handbook with MATLAB more than just the first book to use MATLAB to solve computational problems in statistics. It also forms an outstanding, introduction to statistics for anyone in the many disciplines that involve data analysis.
