Statistics for bioengineering sciences: with MATLAB and WinBUGS support

Through its scope and depth of coverage, this book addresses the needs of thevibrant and rapidly growing engineering fields, bioengineering and biomedicalengineering, while implementing software that engineers are familiar with. The author integrates introductory statistics for engineers and introductory biostatistics as a single textbook heavily oriented to computation and hands on approaches. For example, topics ranging from the aspects of disease and devicetesting, Sensitivity, Specificity and ROC curves, Epidemiological Risk Theory, Survival Analysis, or Logistic and Poisson Regressions are covered. In addition to the synergy of engineering and biostatistical approaches, the novelty of this book is in the substantial coverage of Bayesian approaches to statistical inference. Many examples in this text are solved using both the traditionaland Bayesian methods, and the results are compared and commented. The text addresses the needs of the vibrant and rapidly growing engineering fields, bioengineering and biomedical engineering. Implements software with which engineers are familiar. Incorporates substantial coverage of Bayesian approaches to statistical inference INDICE: Introduction. The Sample and Its Properties. Probability, Conditional Probability, and Bayes' Rule. Sensitivity, Specificity, and Relatives. Random Variables. Normal Distribution. Point and Interval Estimators. Bayesian Approach to Inference. Testing Statistical Hypotheses. Two Samples. ANOVA and Elements of Experimental Design. Distribution-Free Tests. Goodness-of-Fit Tests.Models for Tables. Correlation. Regression. Regression for Binary and Count Data. Inference for Censored Data and Survival Analysis. Bayesian Inference Using Gibbs Sampling - BUGS Project.

• ISBN: 978-1-4614-0393-7
• Editorial: Springer New York
• Encuadernacion: Cartoné
• Páginas: 753
• Fecha Publicación: 28/08/2011
• Nº Volúmenes: 1
• Idioma: Inglés