Ioannis Ntzoufras Bayesian Modeling Using WinBUGS
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A hands-on introduction to the principles of Bayesian modeling using WinBUGS Bayesian Modeling Using WinBUGS provides an easily accessible introduction to the use of WinBUGS programming techniques in a variety of Bayesian modeling settings. The author provides an accessible treatment of the topic,
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Andrew Gelman Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives
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This book brings together a collection of articles on statistical methods relating to missing data analysis, including multiple imputation, propensity scores, instrumental variables, and Bayesian inference. Covering new research topics and real-world examples which do not feature in many standard
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Ioannis Vogiatzakis Mediterranean Mountain Environments
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Mediterranean mountains exhibit many similarities in their biotic ecological, physical and environmental characteristics. There are also many differences in terms of their human colonization pattern, historic land uses and current anthopogenic pressures. This book provides an introduction to these
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Song Xin-Yuan Basic and Advanced Bayesian Structural Equation Modeling. With Applications in the Medical and Behavioral Sciences
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This book provides clear instructions to researchers on how to apply Structural Equation Models (SEMs) for analyzing the inter relationships between observed and latent variables. Basic and Advanced Bayesian Structural Equation Modeling introduces basic and advanced SEMs for analyzing various kinds
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Python Bayesian Analysis
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Ioannis Koutromanos Fundamentals of Finite Element Analysis
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An introductory textbook covering the fundamentals of linear finite element analysis (FEA) This book constitutes the first volume in a two-volume set that introduces readers to the theoretical foundations and the implementation of the finite element method (FEM). The first volume focuses on the use
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Ioannis Arvanitoyannis S. HACCP and ISO 22000
Купить за 27802.43 RUR
Food Safety is an increasingly important issue. Numerous food crises have occurred internationally in recent years (the use of the dye Sudan Red I; the presence of acrylamide in various fried and baked foods; mislabelled or unlabelled genetically modified foods; and the outbreak of variant
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Bruce Marcot Bayesian Networks
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Bayesian Networks, the result of the convergence of artificial intelligence with statistics, are growing in popularity. Their versatility and modelling power is now employed across a variety of fields for the purposes of analysis, simulation, prediction and diagnosis. This book provides a general
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Lawson Andrew B. Bayesian Biostatistics
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The growth of biostatistics has been phenomenal in recent years and has been marked by considerable technical innovation in both methodology and computational practicality. One area that has experienced significant growth is Bayesian methods. The growing use of Bayesian methodology has taken place
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Peter Congdon Applied Bayesian Modelling
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This book provides an accessible approach to Bayesian computing and data analysis, with an emphasis on the interpretation of real data sets. Following in the tradition of the successful first edition, this book aims to make a wide range of statistical modeling applications accessible using tested
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Группа авторов Bayesian Statistical Modelling
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Bayesian methods combine the evidence from the data at hand with previous quantitative knowledge to analyse practical problems in a wide range of areas. The calculations were previously complex, but it is now possible to routinely apply Bayesian methods due to advances in computing technology and
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Adrian Smith F.M. Bayesian Theory
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This highly acclaimed text, now available in paperback, provides a thorough account of key concepts and theoretical results, with particular emphasis on viewing statistical inference as a special case of decision theory. Information-theoretic concepts play a central role in the development of the
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