<h2>An Introduction to Copulas</h2><p>Series: <a href="http://www.springer.com/east/home/statistics/statistical+theory+and+methods?SGWID=5-10129-69-173621571-0" target="_blank">Springer Series in Statistics</a>
                <br/><strong>Nelsen</strong>, Roger B. <br/></p><div></div><!--Element not supported - Type: 8 Name: #comment--><div>Originally published as volume 139 in the series "Lecture Notes Statistics"</div><p>2nd ed., 2006, XIV, 270 p., Hardcover<br/></p><div>ISBN: 978-0-387-28659-4</div><div class="Txt25" style="PADDING-RIGHT: 0px; PADDING-LEFT: 0px; PADDING-BOTTOM: 2px; PADDING-TOP: 10px;">About this book </div><div class="ProductSubContainerAboutThisBook" style="PADDING-BOTTOM: 10px;"><!--Element not supported - Type: 8 Name: #comment-->Copulas are functions that join multivariate distribution functions to their one-dimensional margins. The study of copulas and their role in statistics is a new but vigorously growing field. In this book the student or practitioner of statistics and probability will find discussions of the fundamental properties of copulas and some of their primary applications. The applications include the study of dependence and measures of association, and the construction of families of bivariate distributions. With nearly a hundred examples and over 150 exercises, this book is suitable as a text or for self-study. The only prerequisite is an upper level undergraduate course in probability and mathematical statistics, although some familiarity with nonparametric statistics would be useful. Knowledge of measure-theoretic probability is not required. Roger B. Nelsen is Professor of Mathematics at Lewis & Clark College in Portland, Oregon. He is also the author of "Proofs Without Words: Exercises in Visual Thinking," published by the Mathematical Association of America. </div><div class="TxtB" style="PADDING-BOTTOM: 2px;">Written for: </div><div class="ProductSubContainerAboutThisBook" style="PADDING-BOTTOM: 10px;">Researchers, graduate students</div><p> </p><p><font color="#0000ff"><strong>38楼</strong>给出的附件详细说明，请大家参考！</font></p><p>【书名】 An Introduction to Copulas <br/>【作者】Nelsen, Roger B. <br/>【出版社】Springer<br/>【版本】2nd ed.<br/>【出版日期】2006<br/>【文件格式】PDF<br/>【文件大小】2.28 MB<br/>【页数】250 Pages<br/>【ISBN出版号】ISBN: 978-0-387-28659-4<br/>【资料类别】计量经济学，统计学<br/>【市面定价】59.96 Dollars Amazon Hardcover<br/>【扫描版还是影印版】影印版<br/>【是否缺页】完整<br/>【关键词】Copulas<br/>【内容简介】<br/>Copulas are functions that join multivariate distribution functions to their one-dimensional margins. The study of copulas and their role in statistics is a new but vigorously growing field. In this book the student or practitioner of statistics and probability will find discussions of the fundamental properties of copulas and some of their primary applications. The applications include the study of dependence and measures of association, and the construction of families of bivariate distributions. With nearly a hundred examples and over 150 exercises, this book is suitable as a text or for self-study. The only prerequisite is an upper level undergraduate course in probability and mathematical statistics, although some familiarity with nonparametric statistics would be useful. Knowledge of measure-theoretic probability is not required. Roger B. Nelsen is Professor of Mathematics at Lewis & Clark College in Portland, Oregon. He is also the author of "Proofs Without Words: Exercises in Visual Thinking," published by the Mathematical Association of America. <br/>【目录】<br/>1 Introduction 1<br/>2 Definitions and Basic Properties 7<br/>2.1 Preliminaries 7<br/>3 Methods of Constructing Copulas 51<br/>4 Archimedean Copulas 109<br/>5 Dependence 157<br/>6 Additional Topics 227<br/>References 251<br/>【书评】经典书籍<br/></p>

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