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