A Modern Introduction to Probability and Statistics has numerous quick exercises to give direct feedback to the students. ...
Continue readingEnrique Castillo is a leading figure in several mathematical, statistical, and engineering fields, having contributed seminal ...
Continue readingThis volume, an outgrowth of an "International Conference on Statistical Methods in Health Sciences," covers a wide range ...
Continue readingInternational Association for Statistical Computing The International Association for Statistical Computing (IASC) is a Section ...
Continue readingInternational Association for Statistical Computing The International Association for Statistical Computing (IASC) is a Section ...
Continue readingThis book gives a detailed account of some recent developments in the field of probability and statistics for dependent data. ...
Continue readingThis book gives a detailed account of some recent developments in the field of probability and statistics for dependent data. ...
Continue readingARCH (autoregressive conditionally heteroscedastic), is well-suited for the description of economic and financial price. ...
Continue readingExtreme Value Theory offers a careful, coherent exposition of the subject starting from the probabilistic and mathematical ...
Continue readingExtreme Value Theory offers a careful, coherent exposition of the subject starting from the probabilistic and mathematical ...
Continue readingAn increasing number of statistical problems and methods involve infinite-dimensional aspects. This is due to the progress ...
Continue readingThis book combines material from our previous books FP (Fuzzy Probabilities: New Approach and Applications,Physica-Verlag, ...
Continue readingIndependent Component Analysis and Signal Separation has applications at the intersection of many science and engineering ...
Continue readingThis monograph is the first to systematically study the bias of estimators and construction of corrected confidence intervals ...
Continue readingThis book is a comprehensive treatment of inference for hidden Markov models, including both algorithms and statistical theory. ...
Continue readingOne of the main objectives of this book is to provide comprehensive explanations of the concepts and derivations of the AIC ...
Continue readingThis book provides a self-contained, linear, and unified introduction to empirical processes and semiparametric inference. ...
Continue readingThe book provides instruction on the methods that are vital to data-driven decision making in business, government, and academe. ...
Continue readingThe general tone of the book is not "from theory to practice," but "from current practice to better practice." The third ...
Continue readingThe first part is devoted to graphical techniques. The second part deals with multivariate random variables and presents ...
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