Engineering Biostatistics: An Introduction using MATLAB and WinBUGS (Wiley Series in Probability and Statistics) - Hardcover

Vidakovic, Brani

Hardcover

ISBN 10: 1119168961 ISBN 13: 9781119168966

Publisher: Wiley, 2017

Synopsis

Provides a one-stop resource for engineers learning biostatistics using MATLABŪ and WinBUGS

Through its scope and depth of coverage, this book addresses the needs of the vibrant and rapidly growing bio-oriented engineering fields while implementing software packages that are familiar to engineers. The book is heavily oriented to computation and hands-on approaches so readers understand each step of the programming. Another dimension of this book is in parallel coverage of both Bayesian and frequentist approaches to statistical inference. It avoids taking sides on the classical vs. Bayesian paradigms, and many examples in this book are solved using both methods. The results are then compared and commented upon. Readers have the choice of MATLABŪ for classical data analysis and WinBUGS/OpenBUGS for Bayesian data analysis. Every chapter starts with a box highlighting what is covered in that chapter and ends with exercises, a list of software scripts, datasets, and references.

Engineering Biostatistics: An Introduction using MATLABŪ and WinBUGS also includes:

• parallel coverage of classical and Bayesian approaches, where appropriate
• substantial coverage of Bayesian approaches to statistical inference
• material that has been classroom-tested in an introductory statistics course in bioengineering over several years
• exercises at the end of each chapter and an accompanying website with full solutions and hints to some exercises, as well as additional materials and examples

Engineering Biostatistics: An Introduction using MATLABŪ and WinBUGS can serve as a textbook for introductory-to-intermediate applied statistics courses, as well as a useful reference for engineers interested in biostatistical approaches.

About this title

About the Author

BRANI VIDAKOVIC, PhD, is a Professor in the School of Industrial and Systems Engineering (ISyE) at Georgia Institute of Technology and Department of Biomedical Engineering at Georgia Institute of Technology/Emory University. Dr. Vidakovic is a Fellow of the American Statistical Association, Elected Member of the International Statistical Institute, an Editor-in-Chief of Encyclopedia of Statistical Sciences, Second Edition, and former and current Associate Editor of several leading journals in the field of statistics.

From the Back Cover

Provides a one-stop resource for engineers learning biostatistics using MATLABŪ and WinBUGS

Through its scope and depth of coverage, this book addresses the needs of the vibrant and rapidly growing bio-oriented engineering fields while implementing software packages that are familiar to engineers. The book is heavily oriented to computation and hands-on approaches so readers understand each step of the programming. Another dimension of this book is in parallel coverage of both Bayesian and frequentist approaches to statistical inference. It avoids taking sides on the classical vs. Bayesian paradigms, and many examples in this book are solved using both methods. The results are then compared and commented upon. Readers have the choice of MATLABŪ for classical data analysis and WinBUGS/OpenBUGS for Bayesian data analysis. Every chapter starts with a box highlighting what is covered in that chapter and ends with exercises, a list of software scripts, datasets, and references.

Engineering Biostatistics: An Introduction using MATLABŪ and WinBUGS also includes:

• parallel coverage of classical and Bayesian approaches, where appropriate
• substantial coverage of Bayesian approaches to statistical inference
• material that has been classroom-tested in an introductory statistics course in bioengineering over several years
• exercises at the end of each chapter and an accompanying website with full solutions and hints to some exercises, as well as additional materials and examples

Engineering Biostatistics: An Introduction using MATLABŪ and WinBUGS can serve as a textbook for introductory-to-intermediate applied statistics courses, as well as a useful reference for engineers interested in biostatistical approaches.

From the Inside Flap

Provides a one-stop resource for engineers learning biostatistics using MATLABŪ and WinBUGS

Through its scope and depth of coverage, this book addresses the needs of the vibrant and rapidly growing bio-oriented engineering fields while implementing software packages that are familiar to engineers. The book is heavily oriented to computation and hands-on approaches so readers understand each step of the programming. Another dimension of this book is in parallel coverage of both Bayesian and frequentist approaches to statistical inference. It avoids taking sides on the classical vs. Bayesian paradigms, and many examples in this book are solved using both methods. The results are then compared and commented upon. Readers have the choice of MATLABŪ for classical data analysis and WinBUGS/OpenBUGS for Bayesian data analysis. Every chapter starts with a box highlighting what is covered in that chapter and ends with exercises, a list of software scripts, datasets, and references.

Engineering Biostatistics: An Introduction using MATLABŪ and WinBUGS also includes:

• parallel coverage of classical and Bayesian approaches, where appropriate
• substantial coverage of Bayesian approaches to statistical inference
• material that has been classroom-tested in an introductory statistics course in bioengineering over several years
• exercises at the end of each chapter and an accompanying website with full solutions and hints to some exercises, as well as additional materials and examples

Engineering Biostatistics: An Introduction using MATLABŪ and WinBUGS can serve as a textbook for introductory-to-intermediate applied statistics courses, as well as a useful reference for engineers interested in biostatistical approaches.

Edition details

• Publisher: Wiley
• Publication date: 2017
• Language: English
• ISBN 10: 1119168961
• ISBN 13: 9781119168966
• Binding: Hardcover
• Edition number: 1
• Number of pages: 992