Engineering 👨🔬 Biostatistics. An Introduction using MATLAB and ➕ WinBUGS
👓 Brani Vidakovic
Engineering 👨🔬 Biostatistics. An Introduction using MATLAB and ➕ WinBUGS
✅ Provides a one 1️⃣-stop 🛑 resource for engineers 👨🔬 learning biostatistics using MATLAB®️ 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 MATLAB®️ for classical 🏛️ data analysis and ➕ WinBUGSOpenBUGS 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 ➕ 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 🔚 of each chapter ➕ an accompanying website with 🌝 solutions ➕ hintroductory 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 MATLAB®️ 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.
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