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in interdisciplinary research. Written at a level that is accessible to general readers, not only the academics, the book will appeal to graduate students and;
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data is a key tool in engineering, medicine, and many other scientific and technological areas. This book provides a unified treatment of the;
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This book offers a comprehensive approach to innovation management. Based on a solid scientifi c basis, it provides concepts to initiate;
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Thermodynamics, Kinetics, and Microphysics of Clouds presents a unified theoretical foundation that provides the basis for incorporating;
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This is the second edition of a monograph on generalized linear models with random effects that extends the classic work of McCullagh and;
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simulations are on the rise. Numerical Analysis and scientific software have emerged as essential steps for validating mathematical models and;
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Offers a unified discussion of generalized linear models and correlated data methods Provides information suitable for graduate non;
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, and a diskette included with the book includes ten scientific programs to introduce the reader to scientific computation at a practical level.;
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Latent Variable Models and Factor Analysis provides a comprehensive and unified approach to factor analysis and latent variable modeling;
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Presenting an extensive set of tools and methods for data analysis, Robust Nonparametric Statistical Methods, Second Edition covers;
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at estimating and controlling the discretization error in scientific computational models, being the basis for the numerical verification;
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A unified, comprehensive, and up-to-date introduction to the analytical and numerical tools for solving dynamic economic problems. This;
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advanced topics are covered but the presentation remains intuitive. A brief introduction to regression analysis of complex surveys and notes for;
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coverage of the scientific basis, validation status and regulatory acceptance, applications and limitations, available protocols, and potential;
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standard symptotic statistical methods. It contains a unified survey of standard large sample theory and provides access to more complex;
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methods and subspace methods for state-space LPV models identification and orthonormal basis functions methods. Since there is a strong connection;
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unique book:* Presents a unified treatment of Bayesian methods in marketing, with common notation and algorithms for estimating the models;
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Do you want to design a scientific poster that effectively conveys your research results? One that looks professional, and communicates a;
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a comprehensive and up-to-date treatment of modern methods in matrix computation. It uses a unified approach to direct and iterative methods;
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Economic Models for Industrial Organization focuses on the specification and estimation of econometric models for research in industrial;
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Economic Models for Industrial Organization focuses on the specification and estimation of econometric models for research in industrial;
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This monograph provides both a unified account of the development of models and methods for the problem of estimating equilibrium traffic;
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This book articulates a unified theory of capitalism as an attempt to provide a comprehensive scientific theory of this social system. A;
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in climate change adaptation Includes top-down economic models allowing for a novel application and integration of adaptation features;
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This book is a comprehensive treatment of inference for hidden Markov models, including both algorithms and statistical theory. Topics;
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Provides a unified and coherent account of methods developed to study spatial ecology via reaction-diffusion models Provides the reader with the;
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