The first edition of the Encyclopedia of Biostatistics proved an outstanding achievement in scientific publishing. A truly international work, its coverage ranges through statistical issues pertinent to life scientists, healthcare professionals and practising statisticians. This major publication is easily accessible for all those involved in statistical activities in medicine and health sciences, from health professionals who are not highly trained in statistics, through to fully qualified and experienced statisticians.
Extreme Risk Management: Revolutionary Approaches to Evaluating and Measuring Risk
A revolutionary new approach for detecting and managing inherent risk The unprecedented turmoil in the financial markets turned the field of quantitative finance on its head and generated severe criticism of the statistical models used to manage risk and predict “black swan” events. Something very important had been lost when statistical representations replaced expert knowledge and statistics substituted for causation.
Testing Statistical Hypotheses of Equivalence and Noninferiority, 2 Edition
While continuing to focus on methods of testing for two-sided equivalence, Testing Statistical Hypotheses of Equivalence and Noninferiority, Second Edition gives much more attention to noninferiority testing. It covers a spectrum of equivalence testing problems of both types, ranging from a one-sample problem with normally distributed observations of fixed known variance to problems involving several dependent or independent samples and multivariate data.
Using R for Data Management, Statistical Analysis, and Graphics
Quick and Easy Access to Key Elements of Documentation. Includes worked examples across a wide variety of applications, tasks, and graphics. Using R for Data Management, Statistical Analysis, and Graphics presents an easy way to learn how to perform an analytical task in R, without having to navigate through the extensive, idiosyncratic, and sometimes unwieldy software documentation and vast number of add-on packages.
This volume collects recent works on weakly dependent, long-memory and multifractal processes and introduces new dependence measures for studying complex stochastic systems. Other topics include the statistical theory for bootstrap and permutation statistics for infinite variance processes, the dependence structure of max-stable processes, and the statistical properties of spectral estimators of the long memory parameter.
