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This volume constitutes the refereed proceedings of the 14th International Conference on Object-Oriented and Entity-Relationship Modelling, OOER '95, held in Gold Coast, Australia in December 1995. The 36 papers presented together with an invited presentation by Gio Wiederhold were selected from a total of 120 submissions. The papers are organized in sections on object design and modelling, models and languages, reverse engineering and schema transformation, behavioral modelling, non-traditional modelling, theoretical foundations, business re-engineering, integrated approaches, cooperative work modelling, temporal data modelling, federated systems design, and industrial stream papers
Content Description #Includes bibliographical references and index.
Statistical Power Analysis for the Behavioral Sciences, Revised Edition emphasizes the importance of statistical power analysis. This edition discusses the concepts and types of power analysis, t test for means, significance of a product moment rs, and differences between correlation coefficients. The test that a proportion is .50 and sign test, differences between proportions, and chi-square tests for goodness of fit and contingency tables are also elaborated. This text likewise covers the F tests of variance proportions in multiple regression/correlation analysis and computational procedures. This publication is intended for behavioral and biosocial scientists who use statistical inference, but also serves as a supplementary textbook for intermediate level courses in applied statistics in behavioral/biosocial science.
A study in "intermediate" metaphysics combining elements of empiricism, analysis, and partial skepticism with a systematic account of nature, man, and God. The book concludes with a conative interpretation of mysticism.
This book covers instantaneous power theory as well as the importance of design of shunt, series, and combined shunt-series power active filters and hybrid passive-active power filters Illustrates pioneering applications of the p-q theory to power conditioning, which highlights distinct differences from conventional theories Explores p-q-r theory to give a new method of analyzing the different powers in a three-phase circuit Provides exercises at the end of many chapters that are unique to the second edition
We are at an environmental impasse. Many blame our personal choices about the things we consume and the way we live. This is only part of the problem. Different forms of social power - political, economic and ideological - structure the choices we have available. This book analyses how we make social and environmental history and why we end up where we do. Using case studies from different environmental domains – earth and water, air and fire – Nature, Choice and Social Power examines the form that social power takes and how it can harm the environment and hinder our efforts to act in our own best interests. The case studies challenge conventional wisdoms about why gold is valuable, why the internal combustion engine triumphed, and when and why suburbs sprawled. The book shows how the power of individuals, the power of classes, the power of the market and the power of the state at different times and in different ways were critical to setting us on a path to environmental degradation. It also challenges conventional wisdoms about what we need to do now. Rather than reducing consumption and shrinking from outcomes we don’t want, it proposes growing towards outcomes we do want. We invested massive resources in creating our problems; it will take equally large investments to fix them. Written in a clear and engaging style, the book is underpinned with a political economy framework and addresses how we should understand our responsibility to the environment and to each other as individuals within a large and impersonal system.
Ideal for experienced students and researchers in the social sciences who wish to refresh or extend their understanding of statistics, and to apply advanced statistical procedures using SPSS or R. Key theory is reviewed and illustrated with examples of how to apply these concepts using real data.