This is a history of parametric statistical inference, written by one of the most important historians of statistics of the ...
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                The purpose of this third edition of the International Conference on Mass Data Analysis of Signals and Images in Medicine, ...
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                This book presents theoretical and practical research relating to the vast, publicly financed program for the construction ...
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                Presents methodological developments in Applied/Computational Statistics. This work covers a range of topics including Advances ...
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                Many group theorists all over the world have been trying in the last twenty-five years to extend and adapt the magnificent ...
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                The building sector is responsible for high energy consumption and its global demand is expected to grow as each day there ...
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                The preferred method of data analysis of quantitative experiments is the method of least squares. Often, however, the full ...
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                The preferred method of data analysis of quantitative experiments is the method of least squares. Often, however, the full ...
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                Dynamic Characterisation of Analogue-to-Digital Converters presents a state of the art overview of the methods and procedures ...
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                ARCH (autoregressive conditionally heteroscedastic), is well-suited for the description of economic and financial price. ...
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                Practical Geometry is the name of the craft for medieval landmeasurers, otherwise known as surveyors in modern times. Fibonacci ...
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                This monograph presents many ideas and techniques for such data. Included are expressions in the functional domain of such ...
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                This stimulating text/reference presents a philosophical exploration of the conceptual foundations of deep learning, presenting ...
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                This new volume in the series Springer Handbooks of Computational Statistics gives an overview of modern data visualization ...
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                This comprehensive text gives an interesting and useful blend of the mathematical, probabilistic and statistical tools used ...
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                R is an Open Source implementation of the S language. It works on multiple computing platforms and can be freely downloaded. ...
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                Thebookisbasedonseveralyearsofexperienceofbothauthorsinteaching linear models at various levels. It gives an up-to-date account ...
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                This book provides a comprehensive treatment on modeling approaches for non-Gaussian repeated measures, possibly subject ...
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                This book presents notions and ideas from the foundations of a statistical treatment of risks. Bayesian methods are frequently ...
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                This book presents notions and ideas from the foundations of a statistical treatment of risks. Bayesian methods are frequently ...
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