<p>书名： Statistical Methods for Categorical Data Analysis</p><p>页数：309</p><p>格式：pdf</p><p>大小：1,491kb</p><p>目录：</p><p>Daniel A. Power 和 Yu Xie （谢宇）的经典教材</p><p>我搜索了一下版内，发现已经没有有效的下载地址了，相关的书籍收费也非常贵</p><p>大家都是穷书生，我希望学习不是一件奢侈的事。因此本书只收费现金5，我想大家都负担得起，我自己也可以借此累积一下金钱，毕竟论坛内不少书都挺贵，我自己需要的不少书也买不起。<br/></p><p i4o6z="0" jjzry="12"><strong i4o6z="0" jjzry="0"><font color="#16387c" size="3">Statistical Methods for Categorical Data Analysis</font></strong> is designed as an accessible reference work and textbook about categorical data (that is, data arising from counts instead of measurement. Examples include data about birth, death, marriage, and so forth). It integrates statistical and econometric approaches to the analysis of limited and categorical dependent variables, thereby offering a practical, mathematically uncomplicated approach to the topics of modern data analysis. The volume offers a comprehensive presentation of many different models in a one-volume format (with website).<br/>Two features distinguish this book from other analyses of categorical data. First, the authors present both the transformational and latent variable approaches and so synthesize similar methods in statistical and econometric literatures. Second, the book has an applied orientation and features actual examples from social science research. The authors keep discussions of theory to a minimum.<br/><br/>Key Features<br/>* Exercises and examples utilize popular data already familiar to many social scientists<br/>* Examples of the use of various popular software packages<br/>* Includes non-standard applications of existing software for estimating models which cannot be handled directly using existing pre-programmed software</p><p><br/><br/></p>

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