The aim of this volume is to bring together research directions in theoretical signal and imaging processing developed rather ...
WeiterlesenThis book represents an integration of theory, methods, and examples using the S-PLUS statistical modeling language and the ...
WeiterlesenThis book represents an integration of theory, methods, and examples using the S-PLUS statistical modeling language and the ...
WeiterlesenModeling Uncertainty: An Examination of Stochastic Theory, Methods, and Applications, is a volume undertaken by the friends ...
WeiterlesenThis book focuses on the concepts, tools and techniques needed to successfully model ever-changing time-series data. It emphasizes ...
WeiterlesenThe importance of empirical economics and econometric methods has greatly in creased during the last 20 years due to the ...
WeiterlesenDriven by the requirements of a large number of practical and commercially - portant applications, the last decade has witnessed ...
WeiterlesenThe book is aimed at statisticians, applied mathematicians, and engineers working on problems dealing with multiscale processes ...
WeiterlesenThis book, a careful blend of theory and applications, is an excellent introduction to the use of ANN, which may encourage ...
WeiterlesenThis volume contains revised versions of selected papers presented during the biannual meeting of the Classification and ...
WeiterlesenThis reference work and graduate level textbook considers a wide range of models and methods for analyzing and forecasting ...
WeiterlesenNew Tools of Economic Dynamics gives an introduction and overview of recently developed methods and tools, most of them ...
WeiterlesenThis volume does exactly what its title says: it acquaints with 'New Trends in Macroeconomics'. More specifically, it contains ...
WeiterlesenThis book presents recent developments in nonlinear time series which have been motivated by present day problems in geosciences. ...
WeiterlesenThe primary goal of this book is to present to the scientific and management communities a selection of applications using ...
WeiterlesenLearn the ins and outs of decisions, biases, and reliability of AI algorithms and how to make sense of these predictions. ...
WeiterlesenPrivacy in statistical databases is a discipline whose purpose is to provide - lutions to the con?ict between the increasing ...
WeiterlesenApplied probability is a broad research area that is of interest to scientists in diverse disciplines in science and technology, ...
WeiterlesenThe theory of linear models and regression analysis plays an essential role in the development of methods for the statistical ...
WeiterlesenThe book presents the statistical knowledge and methodology of sampling and data analysis useful for spatial inventory and ...
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