<br/><p style="BACKGROUND: white; WORD-BREAK: break-all; TEXT-INDENT: 17.85pt;"><span style="FONT-SIZE: 11pt; COLOR: black; mso-bidi-font-family: Tahoma;"><font face="宋体">【书名】 经济管理模型的多变量统计方法及分析系统</font><font face="宋体"><span lang="EN-US">QSTAT<br/></span>【作者】王斌会</font><span lang="EN-US"><br/></span><font face="宋体">【出版社】中国统计出版社</font><span lang="EN-US"><br/></span><font face="宋体">【版本】第<span lang="EN-US">1</span>版</font><span lang="EN-US"><br/></span><font face="宋体">【出版日期】<span lang="EN-US">2005</span>年<span lang="EN-US">8</span>月</font><span lang="EN-US"><br/></span><font face="宋体">【文件格式】<span lang="EN-US">PDG</span>（超星格式）<span lang="EN-US"><p></p></span></font></span></p><p style="BACKGROUND: white; WORD-BREAK: break-all;"><span style="FONT-SIZE: 11pt; COLOR: black; mso-bidi-font-family: Tahoma;"><font face="宋体">【文件大锌</font><font face="宋体"><span lang="EN-US">5.15M<br/></span>【页数】<span lang="EN-US">413</span>页</font><span lang="EN-US"><br/></span><font face="宋体">【<span lang="EN-US">ISBN</span>出版号】<span lang="EN-US">7</span>—<span lang="EN-US">5037</span>—<span lang="EN-US">4626</span>—<span lang="EN-US">2</span>／<span lang="EN-US">F</span>．</font><font face="宋体"><span lang="EN-US">2024<br/></span>【资料类别】统计学</font><span lang="EN-US"><br/></span><font face="宋体">【市面定价】</font><font face="宋体"><span lang="EN-US">27.00<br/></span>【扫描版还是影印版】扫描版</font><span lang="EN-US"><br/></span><font face="宋体">【是否缺页】无</font><span lang="EN-US"><br/></span><font face="宋体">【关键词】多元统计分析</font><font face="宋体"><span lang="EN-US"><span style="mso-spacerun: yes;">&nbsp; </span><br/></span>【内容简介】本书重在研究多元统计与分析系统<span lang="EN-US">QSTAT</span>的初步<span lang="EN-US">,</span>其编写目的是提供—本适合于财经管类院校本科生和研究生使用的参考书、教材和软件使用手册。<span lang="EN-US"><p></p></span></font></span></p><p style="BACKGROUND: white; WORD-BREAK: break-all;"><span style="FONT-SIZE: 11pt; COLOR: black; mso-bidi-font-family: Tahoma;"><font face="宋体">本书的编写特点是<span lang="EN-US">:<p></p></span></font></span></p><p style="BACKGROUND: white; MARGIN-LEFT: 18pt; WORD-BREAK: break-all; TEXT-INDENT: -18pt; tab-stops: list 18.0pt; mso-list: l0 level1 lfo1;"><font face="宋体"><span lang="EN-US" style="FONT-SIZE: 11pt; COLOR: black;"><span style="mso-list: Ignore;">(1)</span></span><span style="FONT-SIZE: 11pt; COLOR: black; mso-bidi-font-family: Tahoma;">原理、方法、算法和实例分析相结合<span lang="EN-US"><p></p></span></span></font></p><p style="BACKGROUND: white; MARGIN-LEFT: 18pt; WORD-BREAK: break-all; TEXT-INDENT: -18pt; tab-stops: list 18.0pt; mso-list: l0 level1 lfo1;"><font face="宋体"><span lang="EN-US" style="FONT-SIZE: 11pt; COLOR: black;"><span style="mso-list: Ignore;">(2)</span></span><span style="FONT-SIZE: 11pt; COLOR: black; mso-bidi-font-family: Tahoma;">每一章后面都有用我们开发的统计软件进行的综合案例分析：本书在讲清各种方法的实际背景和数学思想的同时，对每种方法都给出具体经济管理实例，并结合统计软件进行案例分析。书中的大多数案例都是作者收集的最新实际数据。<span lang="EN-US"><p></p></span></span></font></p><p style="BACKGROUND: white; MARGIN-LEFT: 18pt; WORD-BREAK: break-all; TEXT-INDENT: -18pt; tab-stops: list 18.0pt; mso-list: l0 level1 lfo1;"><font face="宋体"><span lang="EN-US" style="FONT-SIZE: 11pt; COLOR: black;"><span style="mso-list: Ignore;">(3)</span></span><span style="FONT-SIZE: 11pt; COLOR: black; mso-bidi-font-family: Tahoma;">解决统计软件用于统计学教学和科研中存在的问题：国内目前缺乏适合开展多变量统计分析教学科研的统计分析软件，<span lang="EN-US"> sas</span>、<span lang="EN-US">spss</span>等国外统计软件，一是没有版权，需要昂贵的费用购买，二是全为英文软件，使用复杂，与教课书内容设置不完全一致，财经管类学生和研究人员使用尤其困难。于是我们开发了一套用于多变量数据分析的统计软件解决了这个问题。<span lang="EN-US"><p></p></span></span></font></p><p style="BACKGROUND: white; WORD-BREAK: break-all;"><span style="FONT-SIZE: 11pt; COLOR: black; mso-bidi-font-family: Tahoma;"><font face="宋体">【目录】第<span lang="EN-US">1</span>章<span lang="EN-US"><span style="mso-spacerun: yes;">&nbsp; </span></span>多变量统计分析简介／<span lang="EN-US">l<p></p></span></font></span></p><p style="BACKGROUND: white; WORD-BREAK: break-all;"><span style="FONT-SIZE: 11pt; COLOR: black; mso-bidi-font-family: Tahoma;"><font face="宋体">第<span lang="EN-US">2</span>章<span lang="EN-US"><span style="mso-spacerun: yes;">&nbsp; </span></span>随机向量及其分布／<span lang="EN-US">13<p></p></span></font></span></p><p style="BACKGROUND: white; WORD-BREAK: break-all; TEXT-INDENT: 11.25pt;"><span style="FONT-SIZE: 11pt; COLOR: black; mso-bidi-font-family: Tahoma;"><font face="宋体">第<span lang="EN-US">3</span>章<span lang="EN-US"><span style="mso-spacerun: yes;">&nbsp; </span></span>多变量数据的直观分析法／<span lang="EN-US">29<p></p></span></font></span></p><p style="BACKGROUND: white; WORD-BREAK: break-all; TEXT-INDENT: 11.25pt;"><span style="FONT-SIZE: 11pt; COLOR: black; mso-bidi-font-family: Tahoma;"><font face="宋体">第<span lang="EN-US">4</span>章<span lang="EN-US"><span style="mso-spacerun: yes;">&nbsp; </span></span>多变量资料的统计检验<span lang="EN-US">45<p></p></span></font></span></p><p style="BACKGROUND: white; WORD-BREAK: break-all; TEXT-INDENT: 11.25pt;"><span style="FONT-SIZE: 11pt; COLOR: black; mso-bidi-font-family: Tahoma;"><font face="宋体">第<span lang="EN-US">5</span>章<span lang="EN-US"><span style="mso-spacerun: yes;">&nbsp; </span></span>多变量回归与相关关析／<span lang="EN-US">??<p></p></span></font></span></p><p style="BACKGROUND: white; WORD-BREAK: break-all; TEXT-INDENT: 11.25pt;"><span style="FONT-SIZE: 11pt; COLOR: black; mso-bidi-font-family: Tahoma;"><font face="宋体">第<span lang="EN-US">6</span>章<span lang="EN-US"><span style="mso-spacerun: yes;">&nbsp; </span></span>多变量回归分析的推广应用／<span lang="EN-US">1<p></p></span></font></span></p><p style="BACKGROUND: white; WORD-BREAK: break-all; TEXT-INDENT: 11.25pt;"><span style="FONT-SIZE: 11pt; COLOR: black; mso-bidi-font-family: Tahoma;"><font face="宋体">第<span lang="EN-US">7</span>章聚类分析／<span lang="EN-US">160<p></p></span></font></span></p><p style="BACKGROUND: white; WORD-BREAK: break-all; TEXT-INDENT: 11.25pt;"><span style="FONT-SIZE: 11pt; COLOR: black; mso-bidi-font-family: Tahoma;"><font face="宋体">第<span lang="EN-US">8</span>章判别分析／<span lang="EN-US">188<p></p></span></font></span></p><p style="BACKGROUND: white; WORD-BREAK: break-all; TEXT-INDENT: 11.25pt;"><span style="FONT-SIZE: 11pt; COLOR: black; mso-bidi-font-family: Tahoma;"><font face="宋体">第<span lang="EN-US">9</span>章<span lang="EN-US"><span style="mso-spacerun: yes;">&nbsp; </span></span>主成分分析／<span lang="EN-US">231<p></p></span></font></span></p><p style="BACKGROUND: white; WORD-BREAK: break-all; TEXT-INDENT: 11.25pt;"><span style="FONT-SIZE: 11pt; COLOR: black; mso-bidi-font-family: Tahoma;"><font face="宋体">第<span lang="EN-US">10</span>章<span lang="EN-US"><span style="mso-spacerun: yes;">&nbsp; </span></span>因子分析／<span lang="EN-US">262<p></p></span></font></span></p><p style="BACKGROUND: white; MARGIN-LEFT: 61.5pt; WORD-BREAK: break-all; TEXT-INDENT: -50.25pt; tab-stops: list 61.5pt; mso-list: l1 level1 lfo2;"><span lang="EN-US" style="FONT-SIZE: 11pt; COLOR: black;"><span style="mso-list: Ignore;"><font face="宋体">第11章</font><span style="FONT: 7pt &quot;Times New Roman&quot;;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></span></span><span style="FONT-SIZE: 11pt; COLOR: black; mso-bidi-font-family: Tahoma;"><font face="宋体">对应分析／<span lang="EN-US">309<p></p></span></font></span></p><p style="BACKGROUND: white; MARGIN-LEFT: 61.5pt; WORD-BREAK: break-all; TEXT-INDENT: -50.25pt; tab-stops: list 61.5pt; mso-list: l1 level1 lfo2;"><span lang="EN-US" style="FONT-SIZE: 11pt; COLOR: black;"><span style="mso-list: Ignore;"><font face="宋体">第12章</font><span style="FONT: 7pt &quot;Times New Roman&quot;;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></span></span><span style="FONT-SIZE: 11pt; COLOR: black; mso-bidi-font-family: Tahoma;"><font face="宋体">典型相关分价<span lang="EN-US">340<p></p></span></font></span></p><p style="BACKGROUND: white; MARGIN-LEFT: 61.5pt; WORD-BREAK: break-all; TEXT-INDENT: -50.25pt; tab-stops: list 61.5pt; mso-list: l1 level1 lfo2;"><span lang="EN-US" style="FONT-SIZE: 11pt; COLOR: black;"><span style="mso-list: Ignore;"><font face="宋体">第13章</font><span style="FONT: 7pt &quot;Times New Roman&quot;;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></span></span><span style="FONT-SIZE: 11pt; COLOR: black; mso-bidi-font-family: Tahoma;"><font face="宋体">非线性回归分析／<span lang="EN-US">362<p></p></span></font></span></p><p style="BACKGROUND: white; MARGIN-LEFT: 11.25pt; WORD-BREAK: break-all;"><span style="FONT-SIZE: 11pt; COLOR: black; mso-bidi-font-family: Tahoma;"><font face="宋体">附录<span lang="EN-US">1<span style="mso-spacerun: yes;">&nbsp; </span></span>炬阵代数的基本知识／<span lang="EN-US">39<p></p></span></font></span></p><p style="BACKGROUND: white; MARGIN-LEFT: 11.25pt; WORD-BREAK: break-all;"><span style="FONT-SIZE: 11pt; COLOR: black; mso-bidi-font-family: Tahoma;"><font face="宋体">附录<span lang="EN-US">2<span style="mso-spacerun: yes;">&nbsp; </span></span>统计分析软件<span lang="EN-US">Qstat</span>使用说明／<span lang="EN-US">404<p></p></span></font></span></p><p style="BACKGROUND: white; WORD-BREAK: break-all; TEXT-INDENT: 11.25pt;"><span style="FONT-SIZE: 11pt; COLOR: black; mso-bidi-font-family: Tahoma;"><font face="宋体">【整理书评】本书的创新点：<span lang="EN-US"><p></p></span></font></span></p><p style="BACKGROUND: white; WORD-BREAK: break-all; TEXT-INDENT: 11.25pt;"><font face="宋体"><span lang="EN-US" style="FONT-SIZE: 11pt; COLOR: black; mso-bidi-font-family: Tahoma;"><span style="mso-spacerun: yes;">&nbsp;&nbsp;&nbsp; </span>(1)</span><span style="FONT-SIZE: 11pt; COLOR: black; mso-bidi-font-family: Tahoma;">提供了一套用于多变量统计分析的计算机软件：作者通过近<span lang="EN-US">6</span>年的努力．自主升发了一套具有知识产权的统计分析软件<span lang="EN-US">Qstat</span>，本书的所有方法都是用其实现的，所有实例及案例都是用其分析的。书中的所有结果、图形都是由<span lang="EN-US">Qstat</span>给出的。高质量的图形和方便的结果输出是其他统计软件所不能比拟的<span lang="EN-US">.<p></p></span></span></font></p><p style="BACKGROUND: white; WORD-BREAK: break-all; TEXT-INDENT: 11.25pt;"><font face="宋体"><span lang="EN-US" style="FONT-SIZE: 11pt; COLOR: black; mso-bidi-font-family: Tahoma;"><span style="mso-spacerun: yes;">&nbsp;&nbsp;&nbsp; </span>(2)</span><span style="FONT-SIZE: 11pt; COLOR: black; mso-bidi-font-family: Tahoma;">研究如何将统计软件的数据处理与统计教学相结合，形成一套完整的教学科研相结合的初具智能化的多媒体统计软件。在教学与科研林化的功能上，在数据编辑、统计分析、统计设计、统计绘图和统计帮助上充分体现多媒体教学的特点。所以本书也可以用于多媒体教学教材<span lang="EN-US">.<p></p></span></span></font></p><p style="BACKGROUND: white; WORD-BREAK: break-all; TEXT-INDENT: 11.25pt;"><font face="宋体"><span lang="EN-US" style="FONT-SIZE: 11pt; COLOR: black; mso-bidi-font-family: Tahoma;"><span style="mso-spacerun: yes;">&nbsp;&nbsp;&nbsp; </span>(3)</span><span style="FONT-SIZE: 11pt; COLOR: black; mso-bidi-font-family: Tahoma;">在统计分析方面．常用的软件有<span lang="EN-US">sas</span>、<span lang="EN-US">spss</span>和<span lang="EN-US">Minitab</span>等。本书提供的申我们开发的有完全自主产权的统汁分析软件<span lang="EN-US">Qstat</span>．在应用上，具有其他软件不可比拟的操作简单、接门方便、扩充能力强等优势。例如在聚类图、判别团、出于图相对应图的绘制，综合评分的计算等方面都有许多新的特点。<span lang="EN-US">Qstat</span>实际上可以应用到统计学的许多领域。多变量统计分析虽然复杂，但<span lang="EN-US">Qstat</span>平台将引导读者走向成功<span lang="EN-US">!<p></p></span></span></font></p>