This 3rd edition of Modern Mathematical Statistics with Applications tries to strike a balance between mathematical foundations and statistical practice. The book provides a clear and current exposition of statistical concepts and methodology, including many examples and exercis…
This book provides a compact introduction to the bootstrap method. In addition to classical results on point estimation and test theory, multivariate linear regression models and generalized linear models are covered in detail. Special attention is given to the use of bootstrap …
The contributions gathered in this book focus on modern methods for statistical learning and modeling in data analysis and present a series of engaging real-world applications. The book covers numerous research topics, ranging from statistical inference and modeling to clusterin…
Pt. 1: Inverse problems and estimation -- Pt. 2: Modelling of random fields -- Pt. 3: Methods and algorithms -- Pt. 4: Appendices.
An outgrowth of the sixth conference on "Mathematical Methods in Reliability: Theory, Methods, and Applications," this book is a selection of invited chapters, all of which deal with various aspects of mathematical and statistical models and methods in reliability. Written by re…
The last years have seen the advent and development of many devices able to record and store an always increasing amount of complex and high dimensional data; 3D images generated by medical scanners or satellite remote sensing, DNA microarrays, real time financial data, system c…
