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