الصفحة 1
الصفحة 1
Nutrition and Health in Developing Countries
Nutrition and Health in Developing Countries, Second Edition was written with the underlying conviction that global health and nutrition problems can only be solved through a firm understanding of the different levels of causality and the interactions between the various determinants. This volume provides policy makers, nutritionists, students, scientists, and professionals with the most recent and up-to-date knowledge regarding major health and nutritional problems in developing countries.
New Introduction to Multiple Time Series Analysis
This reference work and graduate level textbook considers a wide range of models and methods for analyzing and forecasting multiple time series. The models covered include vector autoregressive, cointegrated,vector autoregressive moving average, multivariate ARCH and periodic processes as well as dynamic simultaneous equations and state space models. Least squares, maximum likelihood and Bayesian methods are considered for estimating these models. Different procedures for model selection and model specification are treated and a wide range of tests and criteria for model checking are introduced. Causality analysis, impulse response analysis and innovation accounting are presented as tools for structural analysis. The book is accessible to graduate students in business and economics. In addition, multiple time series courses in other fields such as statistics and engineering may be based on it. Applied researchers involved in analyzing multiple time series may benefit from the book as it provides the background and tools for their tasks. It bridges the gap to the difficult technical literature on the topic.
Introduction to Modern Time Series Analysis
This excellent textbook presents an introduction to the time series analysis. It provides a good source of information for graduate and master students in economics and statistics. It is a well-written and easy to read book, illustrated by 56 good examples. Also, many important references are listed at the end of each chapter.This book presents to beginners a readable and easily accessible introduction to modern developments in time series econometrics and financial time series with an emphasis on basic concepts and practical applications. The book is a textbook consisting of seven chapters the greatest merit of this textbook is that it enables readers to grasp the basic framework of time-series econometrics without relying on extensive reading
Health and Modernity : The Role of Theory in Health Promotion
Health and Modernity proceeds from the thesis that contemporary health promotion is, by definition, inextricably linked to its social context. The authors discuss global challenges in terms of cultural capital, risk and causality, systems theory, and the dynamic between individual and community.
Handbook of philosophical logic ; Vol. 14
I would like to take this opportunity to put forward my current views about logic in computer science, computational linguistics and arti?cial intelligence. In the early 1980s the perception of the role of logic in computer science was that of a speci?cation and reasoning tool and that of a basis for possibly neat computer languages. The computer scientist was manipulating data structures and the use of logic was one of his options.
Handbook of marketing analytics : Methods and applications in marketing management, public policy, and litigation support
Shows analytical marketing methods and their high-impact real-life applications in marketing management, Public policy, and litigation support. Fourteen chapters present an overview of specific marketing analytic methods in technical detail, While 22 case studies present thorough examples of the use of each method. Multidisciplinary in scope, This handbook covers experimental methods, non-experimental methods, and their digital-era extensions. It explores topics such as : Classical and bayesian econometrics, Causality, Machine learning, Optimization, And recent advancements in conjoint analysis.
Evolutionary Equations : Picard's Theorem for Partial Differential Equations, and Applications
This book provides a solution theory for time-dependent partial differential equations, which classically have not been accessible by a unified method. Instead of using sophisticated techniques and methods, the approach is elementary in the sense that only Hilbert space methods and some basic theory of complex analysis are required. Nevertheless, key properties of solutions can be recovered in an elegant manner.
Defending Life : The Nature of Host-Parasite Relations
Defending Life discusses the relationship between hosts and parasites. A major contention of the book is that the immune system depends ontologically on the ecosystem in which it is embedded; it would not have the features it has if it was not related in one way or other to parasitic agents and to the host’s own cells and tissues. To sustain the argument, life is investigated at all layers – from molecules up through cells, organisms and ecosystems. Together with the inverse course, which goes from ecological contingencies down to gene-expression profiles, the approach facilitates an advanced understanding of immunocompetence as well as its converse, immunoincompetence. The emphasis on analytical abstractions, coherent patterns and generative mechanisms makes possible the distinction between genuine causality and coincidental associations, and thus increases the understanding of why we observe what we observe. The book contains detailed descriptions of the immune system and the microbial world as well as methodological and conceptual clarifications.
Data-Driven Fault Detection and Reasoning for Industrial Monitoring
Assesses the potential of data-driven methods in industrial process monitoring engineering. The process modeling, fault detection, classification, isolation, and reasoning are studied in detail. These methods can be used to improve the safety and reliability of industrial processes. Fault diagnosis, including fault detection and reasoning, has attracted engineers and scientists from various fields such as control, machinery, mathematics, and automation engineering. Combining the diagnosis algorithms and application cases, this book establishes a basic framework for this topic and implements various statistical analysis methods for process monitoring.
Mathematical Implications of Einstein-Weyl Causality
The present work is the first systematic attempt at answering the following fundamental question: what mathematical structures does Einstein-Weyl causality impose on a point-set that has no other previous structure defined on it? The authors propose an axiomatization of Einstein-Weyl causality (inspired by physics), and investigate the topological and uniform structures that it implies. Their final result is that a causal space is densely embedded in one that is locally a differentiable manifold. The mathematical level required of the reader is that of the graduate student in mathematical physics.
Machine learning for civil and environmental engineers : A practical approach to data-driven analysis, explainability, and causality
Introduces engineers and engineering students to the applications of artificial intelligence (AI), machine learning (ML), and machine intelligence (MI) in relation to civil and environmental engineering projects and problems, presenting state-of-the-art methodologies and techniques to develop and implement algorithms in the engineering domain.
Laws of Nature
The book is concerned with the laws of nature and in particular with the laws of physics. The authors discuss three important questions: First, whether the observed regularities are based on strict "laws of nature" that hold rigorously and without any exception. Second, what we call a "law of nature" is studied by comparing this concept with invariance principles, causality principles, teleological principles and means of predicting future events. Finally, on the basis of these investigations the authors treat the ambitious and intricate third question, why the laws of nature hold. Are there rational reasons for this largely unexplained phenomenon? This book addresses students as well as researchers. It will be an excellent reference for those interested in the philosophical foundations of the natural sciences.
Chaos and fractals : New frontiers of science
Covers the central ideas and concepts of chaos and fractals as well as many related topics including: the Mandelbrot set, Julia sets, cellular automata, L-systems, percolation and strange attractors.
Causality of Psychological Injury : Presenting Evidence in Court
This sequel to the authors’ Psychological Knowledge in Court offers a welcome expansion on key concepts, terms, and issues in causality, bringing much needed clarity to psychological injury assessments and the legal contexts that employ them. Focusing on PTSD, traumatic brain injury, and chronic pain (and grounding readers in salient U.S. and Canadian case law), Causality sets out a multifactorial causality framework to facilitate admissibility of psychological evidence in court. Issues concerning malingering are examined in depth, as are clinical gray areas that can jeopardize validity. At the same time, the book clearly explains what lawyers and clinicians need to understand about each other’s work—of crucial importance since the two sides often seem to speak at cross-purposes.
Artificial intelligence : A modern approach ; global ed.
Explores the full breadth and depth of the field of artificial intelligence (AI). The 4th edition brings readers up to date on the latest technologies, presents concepts in a more unified manner, and offers new or expanded coverage of machine learning, deep learning, transfer learning, multi agent systems, robotics, natural language processing, causality, probabilistic programming, privacy, fairness, and safe AI
Agency and causal explanation in economics
This book provides an exploration of the consequences of the ontological differences between natural and social objects (sometimes described as objects of nature and objects of thought) in the workings of causal and agency relationships.
