This book covers two major classes of mixed effects models—linear mixed models and generalized linear mixed models—and ...
WeiterlesenWhen applying the statistical theory of long range dependent (LRD) processes to economics, the strong complexity of macroeconomic ...
WeiterlesenThis book collects the contributions of the seventh school on Magnetism and Synchrotron Radiation held in Mittelwihr, France, ...
WeiterlesenThis updated and revised fourth edition covers all topics in mechanics from elementary Newtonian mechanics, canonical and ...
WeiterlesenThis book teaches the art and statistical science of modern longitudinal data analysis. The author emphasizes specifying, ...
WeiterlesenThis book fills the gap between current university instruction and current industry practice by providing a comprehensive ...
WeiterlesenThis book describes two main classes of non-equilibrium phase-transitions: (a) static and dynamics of transitions into an ...
WeiterlesenNonlinear and Adaptive Control with Applications provides a detailed treatment of the design of robust adaptive controllers ...
WeiterlesenThis second edition places increased emphasis on the use of alternative permutation statistical tests based on metric Euclidean ...
WeiterlesenThis is the first comprehensive treatment of the three basic symmetries of probability theory—contractability, exchangeability, ...
WeiterlesenThis is the second edition and is twice the size of the first one. The material on recombination and the stepping stone model ...
WeiterlesenPROCESS OPTIMIZATION: A Statistical Approach is a textbook for a course in experimental optimization techniques for industrial ...
WeiterlesenRandom effects and latent variable models are broadly used in analyses of multivariate data. These models can accommodate ...
WeiterlesenThe papers in this volume explore various issues relating to theories of rational choice and social welfare and their applications. ...
WeiterlesenApplied probability is a broad research area that is of interest to scientists in diverse disciplines in science and technology, ...
WeiterlesenThe theory of linear models and regression analysis plays an essential role in the development of methods for the statistical ...
WeiterlesenThis new book provides a unified, in-depth, readable introduction to the multipredictor regression methods most widely used ...
WeiterlesenIn this book, quantum mechanics is developed from the outset on a relativistic basis, using the superposition principle, ...
WeiterlesenThis book explains in detail, with supporting examples, one of the most common statistical methods: regression. The first ...
WeiterlesenThis book is an integrated treatment of applied statistical methods, presented at an intermediate level, and the SAS programming ...
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