The study of the statistics of extreme events is an essential first step in the mitigation of natural catastrophies, that ...
Lire la suiteThe volume contains revised versions of selected papers presented during the 29th Annual Conference of the Gesellschaft für ...
Lire la suiteThe volume contains revised versions of selected papers presented during the 29th Annual Conference of the Gesellschaft für ...
Lire la suiteGeometric Data Analysis (GDA) is the name suggested by Stanford University to designate the approach to Multivariate Statistics ...
Lire la suiteThis richly illustrated book describes the use of interactive and dynamic graphics as part of multidimensional data analysis. ...
Lire la suiteR is rapidly growing in popularity as the environment of choice for data analysis and graphics both in academia and industry. ...
Lire la suiteMATLAB® is used in a wide range of applications in geosciences, such as image processing in remote sensing, generation and ...
Lire la suiteMarkov chains are a particularly powerful and widely used tool for analyzing a variety of stochastic (probabilistic) systems ...
Lire la suiteMarkov chains are a particularly powerful and widely used tool for analyzing a variety of stochastic (probabilistic) systems ...
Lire la suiteThe aim of this volume is to bring together research directions in theoretical signal and imaging processing developed rather ...
Lire la suiteThe second volume begins with an introduction to basic concepts in calculus, i.e. limits, derivatives, integrals and differential ...
Lire la suiteThis book presents matrix algebra in a way that is well-suited for those with an interest in statistics or a related discipline. ...
Lire la suiteMatrix algebra is one of the most important areas of mathematics for data analysis and for statistical theory. The first ...
Lire la suiteCoefficients of Variations in Analysis of Macro-Policy Effects: An example of two-parameter Poisson-Dirichlet distributions.- ...
Lire la suiteThis book provides a comprehensive treatment on modeling approaches for non-Gaussian repeated measures, possibly subject ...
Lire la suiteRemarkable advances in computation and data storage and the ready availability of huge data sets have been the keys to the ...
Lire la suiteThis book covers methods of Mathematical Morphology to model and simulate random sets and functions (scalar and multivariate). ...
Lire la suiteMultivariate public key cryptosystems (MPKC) is a fast-developing new area in cryptography. In the past 10 years, MPKC schemes ...
Lire la suiteThis book brings together the latest genome base prediction models currently being used by statisticians, breeders and data ...
Lire la suiteThe first part is devoted to graphical techniques. The second part deals with multivariate random variables and presents ...
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