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