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