This monograph is the first to systematically study the bias of estimators and construction of corrected confidence intervals ...
Continue readingThis is the second and translated edition of the German book “Einf ̈uhrung in die Bayes-Statistik, Springer-Verlag, Berlin ...
Continue readingR is an Open Source implementation of the S language. It works on multiple computing platforms and can be freely downloaded. ...
Continue readingThe book is concerned with the laws of nature and in particular with the laws of physics. The authors discuss three important ...
Continue readingCovers the so-called Bayesian approach to statistical inference and in particular its decision-making aspects. The bases ...
Continue readingCovers the so-called Bayesian approach to statistical inference and in particular its decision-making aspects. The bases ...
Continue readingThis book covers two major classes of mixed effects models—linear mixed models and generalized linear mixed models—and ...
Continue readingWhen applying the statistical theory of long range dependent (LRD) processes to economics, the strong complexity of macroeconomic ...
Continue readingThis book collects the contributions of the seventh school on Magnetism and Synchrotron Radiation held in Mittelwihr, France, ...
Continue readingThis book teaches the art and statistical science of modern longitudinal data analysis. The author emphasizes specifying, ...
Continue readingThis book fills the gap between current university instruction and current industry practice by providing a comprehensive ...
Continue readingThis book describes two main classes of non-equilibrium phase-transitions: (a) static and dynamics of transitions into an ...
Continue readingThis second edition places increased emphasis on the use of alternative permutation statistical tests based on metric Euclidean ...
Continue readingThis is the first comprehensive treatment of the three basic symmetries of probability theory—contractability, exchangeability, ...
Continue readingThis is the second edition and is twice the size of the first one. The material on recombination and the stepping stone model ...
Continue readingPROCESS OPTIMIZATION: A Statistical Approach is a textbook for a course in experimental optimization techniques for industrial ...
Continue readingRandom effects and latent variable models are broadly used in analyses of multivariate data. These models can accommodate ...
Continue readingThe papers in this volume explore various issues relating to theories of rational choice and social welfare and their applications. ...
Continue readingApplied probability is a broad research area that is of interest to scientists in diverse disciplines in science and technology, ...
Continue readingThe theory of linear models and regression analysis plays an essential role in the development of methods for the statistical ...
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