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This book aims to provide an in-depth understanding of linguistic meaning, a central theme in twentieth-century philosophy, and its various connections with criteria. Part I examines four major recent theories of meaning, linguistic rules and conventions, and practices. In Part II, after an extended analysis of the concept of criterion against the backdrop of Ludwig Wittgenstein's Philosophical Investigations and the post-Wittgenstein period, various connections between criteria and meaning are revealed in relation to both non-evaluative and evaluative concepts. The last chapter details various sorts of error and confusion in a host of important philosophical views resulting from an improper understanding of criteria, conditions, and evidence.
Statistical modeling is a critical tool in scientific research. This book provides comprehensive explanations of the concepts and philosophy of statistical modeling, together with a wide range of practical and numerical examples. The authors expect this work to be of great value not just to statisticians but also to researchers and practitioners in various fields of research such as information science, computer science, engineering, bioinformatics, economics, marketing and environmental science. It’s a crucial area of study, as statistical models are used to understand phenomena with uncertainty and to determine the structure of complex systems. They’re also used to control such systems, as well as to make reliable predictions in various natural and social science fields.
Truth: Its criteria and conditions is an in-depth critical-and-constructive inquiry in almost equal measure. The theories of the nature of empirical truth critically considered include two forms of the traditional correspondence theory; truth as appraisal; truth as identity of proposition and truth; en emotive theory of truth; P.F. Strawson’s performative theory, and N. Rescher’s novel theory of a coherentist criterion of truth. The constructive parts include an analysis of the concept of “a fact,” the meaning and uses of ‘true’ and ‘false’ in empirical statements, together with the various sorts of conditions for their correct application; the appraisive/evaluative uses of true and false statements; and the performative-cum-cognitive uses of ‘true’ empirical statements; and the conditions of the performative uses of ‘true.’ A significant claim about the concept of truth is its indefinablity; albeit for quite different reasons from Gottlob Frege’s reason based on his argument against the correspondence theory of truth.
Multiple Criteria Decision Analysis: State of the Art Surveys provides survey articles and references of the seminal or state-of-the-art research on MCDA. The material covered ranges from the foundations of MCDA, over various MCDA methodologies (outranking methods, multiattribute utility and value theories, non-classical approaches) to multiobjective mathematical programming, MCDA applications, and software. This vast amount of material is organized in 8 parts, with a total of 25 chapters. More than 2000 references are listed.
With increasing rates of pollution to both land and aquatic environments, regulations for the quality of our waters are necessarily becoming more stringent. In the light of recent epidemiological studies new criteria are being established for the safety of our recreational waters. In order for such criteria to be developed an established statistical framework needs to be in place. Statistical Framework for Recreational Water Quality Criteria and Monitoring offers a practical guide to the statistical methods used for assessing health effects and monitoring and modelling water quality Both traditional and novel sampling designs are discussed. Written by a team of international experts in the field, this book sets out to provide an essential structure for the monitoring of water quality. · Proposes a much-needed framework for the monitoring of water quality, and provides practical guidance on the statistical methods involved. · Covers risk characterization, empirical modelling, sensitivity analysis and measures of robustness. · Details sampling methods and quality control approaches. · Presents crucial, real-life results from recent large-scale studies of water quality, central to the development of the area. · Accompanied by a supplementary website hosting data sets and tools for data analysis. The book is primarily aimed at public health officials, staff of regulatory bodies and students and faculty members of environmental and statistical science courses. There is also much to benefit readers from environmental research and risk analysis.