Author: Robert C. Casad
Publisher: University Press of Kansas
ISBN:
Category : Law
Languages : en
Pages : 278
Book Description
This book represents a prodigious study of judgment-recognition practices in the Central American states, and is for that reason alone an important and needed contribution to comparative law. Distinguished legal scholar Robert C. Casad details the history and present arrangements in Central America, compares the Central American system to interstate judgment-recognition arrangements in the U.S. and the European Economic Community, and considers important suggestions for reform in Central America. This book brings together for the first time in one source, translated into English, the texts of the relevant code provisions of each of the six Central American countries, as well as the text of the Bustamante Code (the multi-lateral treaty) and the European Economic Community judgment-recognition convention.
Civil Judgment Recognition and the Integration of Multiple-state Associations
Author: Robert C. Casad
Publisher: University Press of Kansas
ISBN:
Category : Law
Languages : en
Pages : 278
Book Description
This book represents a prodigious study of judgment-recognition practices in the Central American states, and is for that reason alone an important and needed contribution to comparative law. Distinguished legal scholar Robert C. Casad details the history and present arrangements in Central America, compares the Central American system to interstate judgment-recognition arrangements in the U.S. and the European Economic Community, and considers important suggestions for reform in Central America. This book brings together for the first time in one source, translated into English, the texts of the relevant code provisions of each of the six Central American countries, as well as the text of the Bustamante Code (the multi-lateral treaty) and the European Economic Community judgment-recognition convention.
Publisher: University Press of Kansas
ISBN:
Category : Law
Languages : en
Pages : 278
Book Description
This book represents a prodigious study of judgment-recognition practices in the Central American states, and is for that reason alone an important and needed contribution to comparative law. Distinguished legal scholar Robert C. Casad details the history and present arrangements in Central America, compares the Central American system to interstate judgment-recognition arrangements in the U.S. and the European Economic Community, and considers important suggestions for reform in Central America. This book brings together for the first time in one source, translated into English, the texts of the relevant code provisions of each of the six Central American countries, as well as the text of the Bustamante Code (the multi-lateral treaty) and the European Economic Community judgment-recognition convention.
Asymptotic Expansion of a Partition Function Related to the Sinh-model
Author: Gaëtan Borot
Publisher: Springer
ISBN: 3319333798
Category : Science
Languages : en
Pages : 233
Book Description
This book elaborates on the asymptotic behaviour, when N is large, of certain N-dimensional integrals which typically occur in random matrices, or in 1+1 dimensional quantum integrable models solvable by the quantum separation of variables. The introduction presents the underpinning motivations for this problem, a historical overview, and a summary of the strategy, which is applicable in greater generality. The core aims at proving an expansion up to o(1) for the logarithm of the partition function of the sinh-model. This is achieved by a combination of potential theory and large deviation theory so as to grasp the leading asymptotics described by an equilibrium measure, the Riemann-Hilbert approach to truncated Wiener-Hopf in order to analyse the equilibrium measure, the Schwinger-Dyson equations and the boostrap method to finally obtain an expansion of correlation functions and the one of the partition function. This book is addressed to researchers working in random matrices, statistical physics or integrable systems, or interested in recent developments of asymptotic analysis in those fields.
Publisher: Springer
ISBN: 3319333798
Category : Science
Languages : en
Pages : 233
Book Description
This book elaborates on the asymptotic behaviour, when N is large, of certain N-dimensional integrals which typically occur in random matrices, or in 1+1 dimensional quantum integrable models solvable by the quantum separation of variables. The introduction presents the underpinning motivations for this problem, a historical overview, and a summary of the strategy, which is applicable in greater generality. The core aims at proving an expansion up to o(1) for the logarithm of the partition function of the sinh-model. This is achieved by a combination of potential theory and large deviation theory so as to grasp the leading asymptotics described by an equilibrium measure, the Riemann-Hilbert approach to truncated Wiener-Hopf in order to analyse the equilibrium measure, the Schwinger-Dyson equations and the boostrap method to finally obtain an expansion of correlation functions and the one of the partition function. This book is addressed to researchers working in random matrices, statistical physics or integrable systems, or interested in recent developments of asymptotic analysis in those fields.
Methods of Numerical Integration
Author: Philip J. Davis
Publisher: Academic Press
ISBN: 1483264289
Category : Mathematics
Languages : en
Pages : 628
Book Description
Methods of Numerical Integration, Second Edition describes the theoretical and practical aspects of major methods of numerical integration. Numerical integration is the study of how the numerical value of an integral can be found. This book contains six chapters and begins with a discussion of the basic principles and limitations of numerical integration. The succeeding chapters present the approximate integration rules and formulas over finite and infinite intervals. These topics are followed by a review of error analysis and estimation, as well as the application of functional analysis to numerical integration. A chapter describes the approximate integration in two or more dimensions. The final chapter looks into the goals and processes of automatic integration, with particular attention to the application of Tschebyscheff polynomials. This book will be of great value to theoreticians and computer programmers.
Publisher: Academic Press
ISBN: 1483264289
Category : Mathematics
Languages : en
Pages : 628
Book Description
Methods of Numerical Integration, Second Edition describes the theoretical and practical aspects of major methods of numerical integration. Numerical integration is the study of how the numerical value of an integral can be found. This book contains six chapters and begins with a discussion of the basic principles and limitations of numerical integration. The succeeding chapters present the approximate integration rules and formulas over finite and infinite intervals. These topics are followed by a review of error analysis and estimation, as well as the application of functional analysis to numerical integration. A chapter describes the approximate integration in two or more dimensions. The final chapter looks into the goals and processes of automatic integration, with particular attention to the application of Tschebyscheff polynomials. This book will be of great value to theoreticians and computer programmers.
Modern Electromagnetic Scattering Theory with Applications
Author: Andrey V. Osipov
Publisher: John Wiley & Sons
ISBN: 1119293286
Category : Technology & Engineering
Languages : en
Pages : 828
Book Description
This self-contained book gives fundamental knowledge about scattering and diffraction of electromagnetic waves and fills the gap between general electromagnetic theory courses and collections of engineering formulas. The book is a tutorial for advanced students learning the mathematics and physics of electromagnetic scattering and curious to know how engineering concepts and techniques relate to the foundations of electromagnetics
Publisher: John Wiley & Sons
ISBN: 1119293286
Category : Technology & Engineering
Languages : en
Pages : 828
Book Description
This self-contained book gives fundamental knowledge about scattering and diffraction of electromagnetic waves and fills the gap between general electromagnetic theory courses and collections of engineering formulas. The book is a tutorial for advanced students learning the mathematics and physics of electromagnetic scattering and curious to know how engineering concepts and techniques relate to the foundations of electromagnetics
Handbook of Economic Forecasting
Author: Graham Elliott
Publisher: Elsevier
ISBN: 0444627405
Category : Business & Economics
Languages : en
Pages : 667
Book Description
The highly prized ability to make financial plans with some certainty about the future comes from the core fields of economics. In recent years the availability of more data, analytical tools of greater precision, and ex post studies of business decisions have increased demand for information about economic forecasting. Volumes 2A and 2B, which follows Nobel laureate Clive Granger's Volume 1 (2006), concentrate on two major subjects. Volume 2A covers innovations in methodologies, specifically macroforecasting and forecasting financial variables. Volume 2B investigates commercial applications, with sections on forecasters' objectives and methodologies. Experts provide surveys of a large range of literature scattered across applied and theoretical statistics journals as well as econometrics and empirical economics journals. The Handbook of Economic Forecasting Volumes 2A and 2B provide a unique compilation of chapters giving a coherent overview of forecasting theory and applications in one place and with up-to-date accounts of all major conceptual issues. - Focuses on innovation in economic forecasting via industry applications - Presents coherent summaries of subjects in economic forecasting that stretch from methodologies to applications - Makes details about economic forecasting accessible to scholars in fields outside economics
Publisher: Elsevier
ISBN: 0444627405
Category : Business & Economics
Languages : en
Pages : 667
Book Description
The highly prized ability to make financial plans with some certainty about the future comes from the core fields of economics. In recent years the availability of more data, analytical tools of greater precision, and ex post studies of business decisions have increased demand for information about economic forecasting. Volumes 2A and 2B, which follows Nobel laureate Clive Granger's Volume 1 (2006), concentrate on two major subjects. Volume 2A covers innovations in methodologies, specifically macroforecasting and forecasting financial variables. Volume 2B investigates commercial applications, with sections on forecasters' objectives and methodologies. Experts provide surveys of a large range of literature scattered across applied and theoretical statistics journals as well as econometrics and empirical economics journals. The Handbook of Economic Forecasting Volumes 2A and 2B provide a unique compilation of chapters giving a coherent overview of forecasting theory and applications in one place and with up-to-date accounts of all major conceptual issues. - Focuses on innovation in economic forecasting via industry applications - Presents coherent summaries of subjects in economic forecasting that stretch from methodologies to applications - Makes details about economic forecasting accessible to scholars in fields outside economics
Zeitschrift für Wirtschafts- und Sozialwissenschaften
Author:
Publisher:
ISBN:
Category : Economics
Languages : en
Pages : 710
Book Description
Publisher:
ISBN:
Category : Economics
Languages : en
Pages : 710
Book Description
Time and Causality
Author: Marc J. Buehner
Publisher: Frontiers E-books
ISBN: 2889192520
Category : Causation
Languages : en
Pages : 119
Book Description
The problem of how humans and other intelligent systems construct causal representations from non-causal perceptual evidence has occupied scholars in cognitive science for many decades. Most contemporary approaches agree with David Hume that patterns of covariation between two events of interest are the critical input to the causal induction engine, irrespective of whether this induction is believed to be grounded in the formation of associations (Shanks & Dickinson, 1987), rule-based evaluation (White, 2004), appraisal of causal powers (Cheng, 1997), or construction of Bayesian Causal Networks (Pearl, 2000). Recent research, however, has repeatedly demonstrated that an exclusive focus on covariation while neglecting contiguity (another of Hume’s cues) results in ecologically invalid models of causal inference. Temporal spacing, order, variability, predictability, and patterning all have profound influence on the type of causal representation that is constructed. The influence of time upon causal representations could be seen as a bottom-up constraint (though current bottom-up models cannot account for the full spectrum of effects). However, causal representations in turn also constrain the perception of time: Put simply, two causally related events appear closer in subjective time than two (equidistant) unrelated events. This reversal of Hume’s conjecture, referred to as Causal Binding (Buehner & Humphreys, 2009) is a top-down constraint, and suggests that our representations of time and causality are mutually influencing one another. At present, the theoretical implications of this phenomenon are not yet fully understood. Some accounts link it exclusively to human motor planning (appealing to mechanisms of cross-modal temporal adaptation, or forward learning models of motor control). However, recent demonstrations of causal binding in the absence of human action, and analogous binding effects in the visual spatial domain, challenge such accounts in favour of Bayesian Evidence Integration. This Research Topic reviews and further explores the nature of the mutual influence between time and causality, how causal knowledge is constructed in the context of time, and how it in turn shapes and alters our perception of time. We draw together literatures from the perception and cognitive science, as well as experimental and theoretical papers. Contributions investigate the neural bases of binding and causal learning/perception, methodological advances, and functional implications of causal learning and perception in real time.
Publisher: Frontiers E-books
ISBN: 2889192520
Category : Causation
Languages : en
Pages : 119
Book Description
The problem of how humans and other intelligent systems construct causal representations from non-causal perceptual evidence has occupied scholars in cognitive science for many decades. Most contemporary approaches agree with David Hume that patterns of covariation between two events of interest are the critical input to the causal induction engine, irrespective of whether this induction is believed to be grounded in the formation of associations (Shanks & Dickinson, 1987), rule-based evaluation (White, 2004), appraisal of causal powers (Cheng, 1997), or construction of Bayesian Causal Networks (Pearl, 2000). Recent research, however, has repeatedly demonstrated that an exclusive focus on covariation while neglecting contiguity (another of Hume’s cues) results in ecologically invalid models of causal inference. Temporal spacing, order, variability, predictability, and patterning all have profound influence on the type of causal representation that is constructed. The influence of time upon causal representations could be seen as a bottom-up constraint (though current bottom-up models cannot account for the full spectrum of effects). However, causal representations in turn also constrain the perception of time: Put simply, two causally related events appear closer in subjective time than two (equidistant) unrelated events. This reversal of Hume’s conjecture, referred to as Causal Binding (Buehner & Humphreys, 2009) is a top-down constraint, and suggests that our representations of time and causality are mutually influencing one another. At present, the theoretical implications of this phenomenon are not yet fully understood. Some accounts link it exclusively to human motor planning (appealing to mechanisms of cross-modal temporal adaptation, or forward learning models of motor control). However, recent demonstrations of causal binding in the absence of human action, and analogous binding effects in the visual spatial domain, challenge such accounts in favour of Bayesian Evidence Integration. This Research Topic reviews and further explores the nature of the mutual influence between time and causality, how causal knowledge is constructed in the context of time, and how it in turn shapes and alters our perception of time. We draw together literatures from the perception and cognitive science, as well as experimental and theoretical papers. Contributions investigate the neural bases of binding and causal learning/perception, methodological advances, and functional implications of causal learning and perception in real time.
Federal Agency Compliance Act
Author: United States. Congress. House. Committee on the Judiciary. Subcommittee on Commercial and Administrative Law
Publisher:
ISBN:
Category : Law
Languages : en
Pages : 52
Book Description
Publisher:
ISBN:
Category : Law
Languages : en
Pages : 52
Book Description
Path Integrals in Stochastic Engineering Dynamics
Author: Ioannis A. Kougioumtzoglou
Publisher: Springer Nature
ISBN: 3031578635
Category :
Languages : en
Pages : 233
Book Description
Publisher: Springer Nature
ISBN: 3031578635
Category :
Languages : en
Pages : 233
Book Description
Contents of Recent Economics Journals
Author:
Publisher:
ISBN:
Category : Economics
Languages : en
Pages : 644
Book Description
Publisher:
ISBN:
Category : Economics
Languages : en
Pages : 644
Book Description