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