This revised textbook motivates and illustrates the techniques of applied probability by applications in electrical engineering ...
Lire la suitePROCESS OPTIMIZATION: A Statistical Approach is a textbook for a course in experimental optimization techniques for industrial ...
Lire la suiteThe place in survival analysis now occupied by proportional hazards models and their generalizations is so large that it ...
Lire la suiteThe theory of linear models and regression analysis plays an essential role in the development of methods for the statistical ...
Lire la suiteThis new book provides a unified, in-depth, readable introduction to the multipredictor regression methods most widely used ...
Lire la suiteThis book describes how elite studies theoretically and methodologically construct their object, i.e. how particular conceptualizations ...
Lire la suiteThis book explains in detail, with supporting examples, one of the most common statistical methods: regression. The first ...
Lire la suiteThis book fills a gap in the financial literature by bringing together both recent advances in the theory of implied volatility ...
Lire la suiteFor statisticians the book provides a unique introduction to demographic problems in a familiar language. For demographers, ...
Lire la suiteBiostatistics is one of the scientific fields for which the recent developments have been extremely important. It is also ...
Lire la suiteAn outgrowth of the "International Conference on Statistical Models for Biomedical and Technical Systems," this book is ...
Lire la suiteThis book presents statistical methods and models of importance to quantitative finance and links finance theory to market ...
Lire la suiteThe successful Statistical Reasoning in Medicine: The Intuitive P-value Primer, with its novel emphasis on patient and community ...
Lire la suiteThis book explains classical statistical analyses of clinical trials,andaddresses relatively novel issues, including equivalence ...
Lire la suiteThe book introduces the basic concepts and methods that are useful in the statistical analysis and modeling of DNA-based ...
Lire la suiteOptimization problems arising in practice involve random model parameters. For the computation of robust optimal solutions, ...
Lire la suiteThis greatly expanded second edition of Survival Analysis- A Self-learning Text provides a highly readable description of ...
Lire la suiteThe aim of this book is to bridge the gap between standard textbook models and a range of models where the dynamic structure ...
Lire la suiteThis book presents some of the recent work on the statistical analysis of cross-classified data using longlinear models, ...
Lire la suiteThis selection of articles has emerged from different works presented at the conference "The Art of Semiparametrics" celebrated ...
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