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