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This piece of work began life as a doctoral thesis written at the University of Texas between 1976 and 1978. Now after a year in Dublin it is to become a book. Of the many people in the Department of Linguistics at Texas who shaped my interests and who helped me through the writing of the thesis, I must single out Lee Baker, Lauri Karttunen, Bill Ladusaw, Sue Schmerling and Stanley Peters for special gratitude. All of them have provided specific suggestions which have improved this work, but perhaps more .importantly they provided a uniquely stimulating and harmonious environment in which to work, and a demanding set of professional standards to live up to. To Ken Hale lowe a particular debt of gratitude - for two years of encour- agement and suggestions, and particularly for a set of detailed comments on an earlier version of the book which led to many changes for the better. I also thank my friends Per-Kristian Halvorsen and Elisabet Engdahl, both of whom took the trouble to provide me with detailed criticisms and comments. In Dublin I am grateful to the School of Celtic Studies of the Institute for Advanced Studies for giving me the opportunity of teaching a seminar on many of the topics covered in the book and of exposing the material to people whose knowledge of the language is unequalled. Donal 6 Baoill and Liam Breatnach have been particularly helpful.
This book opens new avenues in understanding mathematical models within the context of a transition economy. The exposition lays out the methods for combining different mathematical structures and tools to effectively build the next model that will accurately reflect real world economic processes. Mathematical modeling of weather phenomena allows us to forecast certain essential weather parameters without any possibility of changing them. By contrast, modeling of transition economies gives us the freedom to not only predict changes in important indexes of all types of economies, but also to influence them more effectively in the desired direction. Simply put: any economy, including a transitional one, can be controlled.
This book is useful to anyone who wants to increase profits within their business, or improve the quality of their family life and the economic area they live in. It is beneficial for undergraduate and graduate students specializing in the fields of Economic Informatics, Economic Cybernetics, Applied Mathematics and Large Information Systems, as well as for professional economists, and employees of state planning and statistical organizations.
This lively and engaging textbook explains the things you have to know in order to read empirical papers in the social and health sciences, as well as the techniques you need to build statistical models of your own. The author, David A. Freedman, explains the basic ideas of association and regression, and takes you through the current models that link these ideas to causality. The focus is on applications of linear models, including generalized least squares and two-stage least squares, with probits and logits for binary variables. The bootstrap is developed as a technique for estimating bias and computing standard errors. Careful attention is paid to the principles of statistical inference. There is background material on study design, bivariate regression, and matrix algebra. To develop technique, there are computer labs with sample computer programs. The book is rich in exercises, most with answers. Target audiences include advanced undergraduates and beginning graduate students in statistics, as well as students and professionals in the social and health sciences. The discussion in the book is organized around published studies, as are many of the exercises. Relevant journal articles are reprinted at the back of the book. Freedman makes a thorough appraisal of the statistical methods in these papers and in a variety of other examples. He illustrates the principles of modeling, and the pitfalls. The discussion shows you how to think about the critical issues - including the connection (or lack of it) between the statistical models and the real phenomena. Features of the book: - authoritative guidance from a well-known author with wide experience in teaching, research, and consulting - careful analysis of statistical issues in substantive applications - no-nonsense, direct style - versatile structure, enabling the text to be used as a text in a course, or read on its own - text that has been thoroughly class-tested at Berkeley - background material on regression and matrix algebra - plenty of exercises, most with solutions - extra material for instructors, including data sets and code for lab projects (available from Cambridge University Press) - many new exercises and examples - reorganized, restructured, and revised chapters to aid teaching and understanding
Complete coverage of all aspects of dining room service, with real-life examples and updated information on technology in the industry.
In The Professional Server, students get an introduction to the many aspects of being a professional server, and experienced servers get an excellent reference to consult for various techniques and service situations they face in their day-to-day work. This popular resource features easy-to-read, self-contained chapters, which flow in a logical sequence and allow flexibility in teaching and learning. Coverage includes areas such as professional appearance, guest communication, table settings, food, wine, and beverage service, and current technologies. Restaurant Reality stories and step-by-step photographs give students an insider's look into what makes an effective server.
Various social and political issues in the recent years have indicated a stronger need for multicultural education in schools. In Singapore, there is increasing negative sentiment against 'foreign talent' and an unspoken fear of Islamic extremism. In Taiwan, the academic performance of the 'new children of Taiwan' and the cultural adaptation of foreign spouses are pressing issues. This book offers a contextualised introduction to multicultural education in Singapore and Taiwan, reviews the construction of policy discourse on multicultural education in Singapore and Taiwan, investigates the current practices of multicultural education in Singaporean and Taiwanese schools, and evaluates the achievements and identify the challenges of multicultural education in Singapore and Taiwan.
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