Engineering Biostatistics: An Introduction using MATLAB and WinBUGS

Provides a one-stop resource for engineers learning biostatistics using MATLAB� and Win BUGSThrough 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.\n\nThe 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 MATLAB� for classical data analysis and Win BUGS/Open BUGS 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 MATLAB� and Win BUGS also includes:parallel coverage of classical and Bayesian approaches, where appropriatesubstantial coverage of Bayesian approaches to statistical inferencematerial that has been classroom-tested in an introductory statistics course in bioengineering over several yearsexercises 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 MATLAB� and Win BUGS can serve as a textbook for introductory-to-intermediate applied statistics courses, as well as a useful reference for engineers interested in biostatistical approaches.Engineering Biostatistics: An Introduction using MATLAB and Win BUGS 1st Edition is written by Brani Vidakovic and published by Wiley-Blackwell. ISBNs for Engineering Biostatistics: An Introduction using MATLAB and Win BUGS are 9781119168980, 1119168988 and the print ISBNs are 9781119168966, 1119168961.