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Modern issues and methods in biostatistics
by Chang, Mark
fromStatistics for biology and health
0
Type: Book
Statistics Explained is a reader-friendly introduction to experimental design and statistics for undergraduate students in the life sciences, particularly those who do not have a strong mathematical background. Hypothesis testing and experimental design are discussed first. Stat…
The purpose of this book is not only to revisit the 'significance test controversy, 'but also to provide a conceptually sounder alternative. As such, it presents a Bayesian framework for a new approach to analyzing and interpreting experimental data. It also prepares students an…
This open-access textbook's significant contribution is the unified derivation of data-assimilation techniques from a common fundamental and optimal starting point, namely Bayes' theorem. Unique for this book is the "top-down" derivation of the assimilation methods. It starts fr…
Now in its second edition, this textbook provides an applied and unified introduction to parametric, nonparametric and semiparametric regression that closes the gap between theory and application. The most important models and methods in regression are presented on a solid forma…
Proceedings of the 19th international symposium on computational statistics, held in Paris august 22-27, 2010. Together with 3 keynote talks, there were 14 invited sessions and more than 100 peer-reviewed contributed communications.
Recent years have witnessed a rapidly growing interest in the use and construction of "qualitative" indicators of labour standards. Qualitative indicators, while generally having numerical values, are based on such methods as grading by experts, the coding of legislation, and th…
This book concentrates on linear regression, path analysis and logistic regressions, the most used statistical techniques for the test of causal relationships. Its emphasis is on the conceptions and applications of the techniques by using simple examples without requesting any m…
