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Titlebook: Introductory Econometrics; Phoebus J. Dhrymes Textbook 19781st edition Springer-Verlag New York Inc. 1978 Estimator.Likelihood.analysis of

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書目名稱Introductory Econometrics
編輯Phoebus J. Dhrymes
視頻videohttp://file.papertrans.cn/475/474456/474456.mp4
圖書封面Titlebook: Introductory Econometrics;  Phoebus J. Dhrymes Textbook 19781st edition Springer-Verlag New York Inc. 1978 Estimator.Likelihood.analysis of
描述This book has taken form over several years as a result of a number of courses taught at the University of Pennsylvania and at Columbia University and a series of lectures I have given at the International Monetary Fund. Indeed, I began writing down my notes systematically during the academic year 1972-1973 while at the University of California, Los Angeles. The diverse character of the audience, as well as my own conception of what an introductory and often terminal acquaintance with formal econometrics ought to encompass, have determined the style and content of this volume. The selection of topics and the level of discourse give sufficient variety so that the book can serve as the basis for several types of courses. As an example, a relatively elementary one-semester course can be based on Chapters one through five, omitting the appendices to these chapters and a few sections in some of the chapters so indicated. This would acquaint the student with the basic theory of the general linear model, some of the prob- lems often encountered in empirical research, and some proposed solutions. For such a course, I should also recommend a brief excursion into Chapter seven (logit and pro
出版日期Textbook 19781st edition
關鍵詞Estimator; Likelihood; analysis of variance; best fit; calculus; econometrics; equation; function; variable;
版次1
doihttps://doi.org/10.1007/978-1-4612-6292-3
isbn_softcover978-1-4612-6294-7
isbn_ebook978-1-4612-6292-3
copyrightSpringer-Verlag New York Inc. 1978
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Phoebus J. Dhrymesres lead to the development of a variety of data forms inside spreadsheets. A . is one of these forms of data. A cross-table is defined as a rectangular form of data, which expresses the relations between a set of objects and a set of attributes. Cross-tables are common in spreadsheets: our explorat
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Phoebus J. Dhrymesn is a common programming activity performed by such end-users to accomplish this composition task. While there have been many studies on end-user programming, we still need a better understanding of activities involved in end-user composition and environments to support them. In this paper we repor
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Phoebus J. Dhrymesrerequisite for any AI-based processing or reasoning. The use of semantic technologies (e.g., RDF, OWL) has the advantage that it allows to define the semantics of the information and supports advanced querying. However, using such technologies is a challenging task for subject matter experts from a
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Phoebus J. Dhrymesrs’ needs. While end-users can be directly involved in modifying low-fidelity prototypes, they are left out when it comes to high-fidelity interactive prototypes—in part because these cannot be modified directly or require time-consuming edit-compile-run cycles. High-fidelity prototypes, however, ar
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