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Duns Scotus on Divine Love Texts and Commentary on Goodness and Freedom God and Humans

Duns Scotus on Divine Love Texts and Commentary on Goodness and Freedom God and Humans

The medieval philosopher and theologian John Duns Scotus (1266-1308) was one of the great thinkers of Western intellectual culture exerting a considerable influence over many centuries. He had a genius for original and subtle philosophical analysis with the motive behind his philosophical method being his faith. His texts are famous not only for their complexity but also for their brilliance their systematic precision and the profound faith revealed. The texts presented in this new commentary show that Scotus' thought is not moved by a love for the abstract or technical but that a high level of abstraction and technicality was needed for his precise conceptual analysis of Christian faith. Presenting a selection of nine fundamental theological texts of Duns Scotus some translated into English for the first time this book provides detailed commentary on each text to reveal Scotus' conception of divine goodness and the nature of the human response to that goodness. Following an introduction which includes an overview of Scotus' life and works the editors highlight Scotus' theological insights many of which are explored here for the first time and shed new light on topics which were and still are hotly discussed. Scotus is seen to be the first theologian in the history of Christian thought who succeeds in developing a consistent conceptual framework for the conviction that both God and human beings are essentially free. Offering unique insights into Scotus' theological writings and faith and a particular contribution to contemporary debate on Scotus' ethics this book contributes to a clearer understanding of the whole of Scotus' thought. | Duns Scotus on Divine Love Texts and Commentary on Goodness and Freedom God and Humans

GBP 38.99
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Stop the Hate for Goodness Sake How Can Classroom Teachers Disrupt Discrimination and Promote Hope Foster Healing and Inspire Joyful Learning?

Politics Innocence and the Limits of Goodness

Politics Innocence and the Limits of Goodness

First published in 1988. Moral innocence is of enduring interest because it seems to embody our ideals in their purest form. The place of moral innocence in politics is the central theme of Peter Johnson’s subtle and original book. Are there moral dispositions which are not only incompatible with politics but actually endanger it? If it is sometimes necessary to act badly in order to achieve desirable objectives what moral standpoints would exclude such a course at action? Peter Johnson demonstrates convincingly why philosophical accounts of morality past and present are unable to explain moral innocence: its full impact on politics can only be grasped by putting aside traditional theories. Literature provides the key to a deeper understanding of the relationship between politics and morality. Melville’s Billy Budd Shakespeare’s Henry VI and Graham Greene’s The Quiet American reveal moral innocence at work in political circumstances of great intensity. Through these and other literary figures we see at last the specific character of moral innocence and why it is connected with political disaster. This closely reasoned yet deeply passionate book illuminates a problem of great contemporary interest and nowhere more so than in American public life. Original in theme and content it confronts central issues of concern to the modern mind not simply to academics both teachers and taught but to all those interested in how they might be governed. | Politics Innocence and the Limits of Goodness

GBP 29.99
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Empirical Bayes Methods

Pure Sport Sport Psychology in Action

Beyond Legal Reasoning: a Critique of Pure Lawyering

Beyond Legal Reasoning: a Critique of Pure Lawyering

The concept of learning to ‘think like a lawyer’ is one of the cornerstones of legal education in the United States and beyond. In this book Jeffrey Lipshaw provides a critique of the traditional views of ‘thinking like a lawyer’ or ‘pure lawyering’ aimed at lawyers law professors and students who want to understand lawyering beyond the traditional warrior metaphor. Drawing on his extensive experience at the intersection of real world law and business issues Professor Lipshaw presents a sophisticated philosophical argument that the pure lawyering of traditional legal education is agnostic to either truth or moral value of outcomes. He demonstrates pure lawyering’s potential both for illusions of certainty and cynical instrumentalism and the consequences of both when lawyers are called on as dealmakers policymakers and counsellors. This book offers an avenue for getting beyond (or unlearning) merely how to think like a lawyer. It combines legal theory philosophy of knowledge and doctrine with an appreciation of real-life judgment calls that multi-disciplinary lawyers are called upon to make. The book will be of great interest to scholars of legal education legal language and reasoning as well as professors who teach both doctrine and thinking and writing skills in the first year law school curriculum; and for anyone who is interested in seeking a perspective on ‘thinking like a lawyer’ beyond the litigation arena. | Beyond Legal Reasoning: a Critique of Pure Lawyering

GBP 42.99
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Nonparametric Regression and Spline Smoothing

The Pure Theory of International Trade and Distortions (Routledge Revivals)

A Concise Introduction to Pure Mathematics

Empirical Bayes Methods with Applications

A Companion to Kant's Critique of Pure Reason

The Weibull Distribution A Handbook

An Analysis of Immanuel Kant's Critique of Pure Reason

International Trade and Economic Growth (Collected Works of Harry Johnson) Studies in Pure Theory

The Principles of Policy Thought A Philosophical Approach to Public Policy

The Bounds of Sense An Essay on Kant’s Critique of Pure Reason

The Good the Right Life and Death Essays in Honor of Fred Feldman

The Art of Suffering and the Impact of Seventeenth-century Anti-Providential Thought

An Introduction to Statistical Inference and Its Applications with R

Applied Statistics for Business and Economics

Applied Statistics for Business and Economics

Designed for a one-semester course Applied Statistics for Business and Economics offers students in business and the social sciences an effective introduction to some of the most basic and powerful techniques available for understanding their world. Numerous interesting and important examples reflect real-life situations stimulating students to think realistically in tackling these problems. Calculations can be performed using any standard spreadsheet package. To help with the examples the author offers both actual and hypothetical databases on his website http://iwu. edu/~bleekley The text explores ways to describe data and the relationships found in data. It covers basic probability tools Bayes’ theorem sampling estimation and confidence intervals. The text also discusses hypothesis testing for one and two samples contingency tables goodness-of-fit analysis of variance and population variances. In addition the author develops the concepts behind the linear relationship between two numeric variables (simple regression) as well as the potentially nonlinear relationships among more than two variables (multiple regression). The final chapter introduces classical time-series analysis and how it applies to business and economics. This text provides a practical understanding of the value of statistics in the real world. After reading the book students will be able to summarize data in insightful ways using charts graphs and summary statistics as well as make inferences from samples especially about relationships.

GBP 59.99
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Reliability Assessments Concepts Models and Case Studies

Reliability Assessments Concepts Models and Case Studies

This book provides engineers and scientists with a single source introduction to the concepts models and case studies for making credible reliability assessments. It satisfies the need for thorough discussions of several fundamental subjects. Section I contains a comprehensive overview of assessing and assuring reliability that is followed by discussions of:• Concept of randomness and its relationship to chaos• Uses and limitations of the binomial and Poisson distributions• Relationship of the chi-square method and Poisson curves• Derivations and applications of the exponential Weibull and lognormal models• Examination of the human mortality bathtub curve as a template for componentsSection II introduces the case study modeling of failure data and is followed by analyses of:• 5 sets of ideal Weibull lognormal and normal failure data• 83 sets of actual (real) failure data The intent of the modeling was to find the best descriptions of the failures using statistical life models principally the Weibull lognormal and normal models for characterizing the failure probability distributions of the times- cycles- and miles-to-failure during laboratory or field testing. The statistical model providing the preferred characterization was determined empirically by choosing the two-parameter model that gave the best straight-line fit in the failure probability plots using a combination of visual inspection and three statistical goodness-of-fit (GoF) tests. This book offers practical insight in dealing with single item reliability and illustrates the use of reliability methods to solve industry problems. | Reliability Assessments Concepts Models and Case Studies

GBP 48.99
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Simone Weil: Basic Writings

Simone Weil: Basic Writings

Simone Weil is one of the most profound and thought-provoking thinkers of the 20th century. A teacher factory and farm labourer a political activist at home and abroad a loving friend daughter and sister—all these manifest a life devoted to the good in its many forms. Her writings explore the good open to us and the various routes to it spanning philosophy politics science and spirituality. While she saw her vocation primarily as a philosopher—examining questions concerning human faculties action and thought the limits of language and our need of mediation suffering and beauty for contact with reality—her startlingly original thought is often obscured by her having been too readily categorized as a Christian mystic. Simone Weil: Basic Writings is an expertly edited anthology of Weil’s most important writings presenting her philosophy as it relates to the architecture of human nature politics work necessity beauty goodness and God. Working from the definitive French edition of Weil’s complete writings D. K. Levy and Marina Barabas have translated the essays anew or for the first time adding important notes and references absent from existing English language editions of Weil’s work. Following an extensive introduction that gives an overview of Weil's life and thought each part opens with a short preface situating the selected essays within Weil’s oeuvre. Simone Weil: Basic Writings provides an excellent entry point to Weil’s philosophy as well as a reference for students and scholars of Weil's thought in philosophy and related disciplines.

GBP 34.99
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Foundations of Predictive Analytics

Foundations of Predictive Analytics

Drawing on the authors’ two decades of experience in applied modeling and data mining Foundations of Predictive Analytics presents the fundamental background required for analyzing data and building models for many practical applications such as consumer behavior modeling risk and marketing analytics and other areas. It also discusses a variety of practical topics that are frequently missing from similar texts. The book begins with the statistical and linear algebra/matrix foundation of modeling methods from distributions to cumulant and copula functions to Cornish–Fisher expansion and other useful but hard-to-find statistical techniques. It then describes common and unusual linear methods as well as popular nonlinear modeling approaches including additive models trees support vector machine fuzzy systems clustering naïve Bayes and neural nets. The authors go on to cover methodologies used in time series and forecasting such as ARIMA GARCH and survival analysis. They also present a range of optimization techniques and explore several special topics such as Dempster–Shafer theory. An in-depth collection of the most important fundamental material on predictive analytics this self-contained book provides the necessary information for understanding various techniques for exploratory data analysis and modeling. It explains the algorithmic details behind each technique (including underlying assumptions and mathematical formulations) and shows how to prepare and encode data select variables use model goodness measures normalize odds and perform reject inference. Web ResourceThe book’s website at www. DataMinerXL. com offers the DataMinerXL software for building predictive models. The site also includes more examples and information on modeling.

GBP 59.99
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