商务统计（第二版）/国际贸易经典译丛

图书标准信息

• 作者 诺琳·R·夏普、理查德·D·德沃 著；张燕 译
• 出版社 中国人民大学出版社
• 出版时间 2016-02
• 版次 1
• ISBN 9787300222660
• 定价 69.00元
• 装帧 平装
• 开本 16开
• 纸张 其他
• 页数 496页
• 丛书 国际贸易经典译丛

【内容简介】

本书将统计学的概念和方法应用于商务领域，从应用层面对统计学的基本方法进行了系统的讲解。全书分为三部分：数据探索和数据收集，建模与推断，以及决策建模。全书共16章，将方法的讲解与商务领域中的现实案例紧密结合起来，使读者掌握如何利用统计方法解决商务中的实际问题。本书还将统计软件与统计方法的应用结合起来，介绍了各种统计方法在Excel、Minitab、]MP、SPSS等软件中的操作实现步骤。

【作者简介】

夏普曾在鲍登学院（BowdoinCollege）和巴布森学院（BabsonCollege）讲授统计学，还曾在耶鲁大学从事研究工作，目前是乔治城大学（GeorgetownUniversity）教授。德沃是国际知名的教育家，曾在沃顿商学院（WhartonSchool）和普林斯顿大学（PrincetonUniversity）讲授过统计学，为美国运通、惠普、美国铝公司、杜邦、Pillsbury、通用电气、化学银行等“财富500强”企业做过咨询，目前是威廉姆斯学院（WilliamsCollege）统计学教授。维尔曼在创新性统计教育方面具有国际声望，任教于康奈尔大学，是DataDescription公司的创始人和CEO，设计了DataDesk软件包。

【目录】

第一篇 数据探索与数据收集    ………………………………………………… 1
第1章 统计学与变异     …………………………………………………3                                                    
1．1 统计学是什么?    …………………………………………………3                                                  
1．2 本书有何用处    …………………………………………………4                                                     
第2章 数据     …………………………………………………9                                                            
2．1 什么是数据    …………………………………………………10                                                    
2．2 变量类型    …………………………………………………14                                                      
2．3 数据来源：where、how和when    …………………………………………………18                                  
小结    …………………………………………………22                                                                 
第3章 调查与抽样…………………………………………………     25                                                      3．1 抽样调查三原则    …………………………………………………26                                                
3．2 总体与参数    …………………………………………………30                                                    
3．3 一般样本设计    …………………………………………………31                                                  
3．4 有效调查    …………………………………………………37                                                      
3．5 怎样使抽样变糟    …………………………………………………39                                                
小结    …………………………………………………43                                                                 
第4章 展示与描述定性数据…………………………………………………     47                                              4．1 汇总定性变量   ………………………………………………… 48                                                  
4．2 展示定性变量    …………………………………………………51                                                  
4．3 探索两个定性变量：列联表    …………………………………………………55                                      
小结   ………………………………………………… 69                                                              
第5章 展示与描述定量数据…………………………………………………     74                                              5．1 显示定量数据    …………………………………………………75                                                  
5．2 形状    …………………………………………………80                                                          
5．3 中心    …………………………………………………83                                                          
5．4 分布的离散度    …………………………………………………85                                                  
5．5 形状、中心与离散度——一个总结    …………………………………………………89                                
5．6 五数概括与箱线图    …………………………………………………89                                              
5．7 组间比较    …………………………………………………93                                                      
5．8 确认异常值    …………………………………………………96                                                    
5．9 标准化    …………………………………………………98                                                        
5．10 时间序列数据    …………………………………………………100                                                
小结    …………………………………………………106                                                               
第6章 相关性与线性回归     …………………………………………………114                                              
6．1 观察散点图    …………………………………………………116                                                    
6．2 在散点图中指定变量的角色    …………………………………………………118                                      
6．3 理解相关关系    …………………………………………………120                                                  
6．4 潜在变量与因果关系   ………………………………………………… 126                                            
6．5 线性模型   ………………………………………………… 128                                                      
6．6 相关性与直线    …………………………………………………129                                                  
6．7 向均值的回归    …………………………………………………133                                                  
6．8 模型检验    …………………………………………………135                                                      
6．9 模型的变异和R^2…………………………………………………138                                              6．10 真实性检验：回归是否合理?    …………………………………………………141                                  
小结    …………………………………………………146                                                               
第二篇 建模与推断     …………………………………………………157                                                   
第7章 随机性与概率     …………………………………………………159                                                  
7．1 随机现象与概率    …………………………………………………160                                                
7．2 不存在的平均值法则    …………………………………………………162                                            
7．3 不同类型的概率    …………………………………………………164                                                
7．4 概率原则    …………………………………………………165                                                      
7．5 联合概率与列联表    …………………………………………………172                                              
7．6 条件概率    …………………………………………………173                                                      
7．7 创建列联表    …………………………………………………176                                                    
7．8 概率树    …………………………………………………177                                                      
* 7．9 转换条件：贝叶斯准则    …………………………………………………179                                      
小结    …………………………………………………181                                                            
第8章 随机变量与概率模型     …………………………………………………185                                            
8．1 随机变量的期望值    …………………………………………………186                                              
8．2 随机变量的标准差    …………………………………………………188                                              
8．3 期望值与方差的性质    …………………………………………………191                                            
8．4 离散概率模型    …………………………………………………195                                                  
8．5 连续型随机变量    …………………………………………………204                                                
小结    …………………………………………………221                                                              
 第9章 抽样分布与比例的置信区间     …………………………………………………225                                      9．1 样本比例的分布    …………………………………………………226                                                
9．2 比例的抽样分布    …………………………………………………228                                                
9．3 中心极限定理    …………………………………………………233                                                  
9．4 置信区间    …………………………………………………238                                                      
9．5 误差幅度：确定性与精确性    …………………………………………………242                                      
9．6 假设与条件    …………………………………………………245                                                    
9．7 选择样本容量    …………………………………………………248                                                  
小结    …………………………………………………254                                                               
第10章 比例的假设检验     …………………………………………………259                                                10．1 假设    …………………………………………………260                                                        
10．2 作为假设检验的审判    …………………………………………………263                                          
10．3 P值    …………………………………………………264                                                        
10．4 假设检验的原理    …………………………………………………266                                              
10．5 备择假设    …………………………………………………268                                                    
10．6 α水平与显著性    …………………………………………………271                                              
10．7 临界值    …………………………………………………274                                                      
10．8 置信区间与假设检验    …………………………………………………275                                          
10．9 两类错误    …………………………………………………279                                                  
*10．10 检验效力    …………………………………………………281                                                小结    …………………………………………………285                                                               
第11章 均值的置信区间和假设检验     …………………………………………………291                                      11．1 均值的抽样分布    …………………………………………………292                                              
11．2 抽样分布模型如何有效    …………………………………………………293                                        
11．3 戈塞特与 t分布    …………………………………………………295                                              
11．4 均值的置信区间    …………………………………………………298                                              
11．5 假设与条件    …………………………………………………300                                                  
11．6 检验关于均值的假设———单样本 t检验    ………………………………………308                          
小结    …………………………………………………314                                                            
第12章 比较两个组     …………………………………………………320                                                    12．1 比较两个均值   ………………………………………………… 321                                                
12．2 两样本 t检验    …………………………………………………324                                                
12．3 假设与条件    …………………………………………………325                                                  
12．4 两个均值之差的置信区间    …………………………………………………330                                      
12．5 合并的 t检验    …………………………………………………332                                              
* 12．6 图基快速检验    …………………………………………………337                                        
*12．7 配对数据    …………………………………………………339                                                12．8 配对 t检验    …………………………………………………341                                               
 小结    …………………………………………………347                                                              
 第13章 计数的推断：卡方检验     …………………………………………………356                                          13．1 拟合优度检验    …………………………………………………358                                                
13．2 解释卡方值    …………………………………………………363                                                  
13．3 检验残差    …………………………………………………364                                                    
13．4 齐性的卡方检验    …………………………………………………365                                              
13．5 比较两个比例    …………………………………………………372                                                
13．6 独立性的卡方检验    …………………………………………………374                                           
 小结    …………………………………………………381                                                               
第三篇 决策建模     …………………………………………………389                                                    
第14章 回归的推断     …………………………………………………391                                                    14．1 总体与样本    …………………………………………………392                                                  
14．2 假设与条件    …………………………………………………393                                                  
14．3 回归推断    …………………………………………………396                                                    
14．4 预测值的标准误    …………………………………………………402                                              
14．5 使用置信区间和预测区间    …………………………………………………406                                      
14．6 外推与预测    …………………………………………………408                                                  
14．7 不寻常与异常的观测值    …………………………………………………410                                      
* 14．8 处理汇总值    …………………………………………………414                                          
*14．9 线性性质    …………………………………………………416                                              小结    …………………………………………………420                                                               
第15章 多元回归     …………………………………………………427                                                      15．1 多元回归模型    …………………………………………………429                                                
15．2 解释多元回归的系数    …………………………………………………431                                          
15．3 多元回归模型的假设和条件    …………………………………………………433                                      
15．4 检验多元回归模型    …………………………………………………440                                            
15．5 调整后的R^2与F统计量    …………………………………………………442                                      
小结    …………………………………………………446                                                               
第16章 数据挖掘概述     …………………………………………………452                                                  16．1 直接的市场营销    …………………………………………………452                                              
16．2 数据    …………………………………………………453                                                        
16．3 数据挖掘的目标    …………………………………………………455                                              
16．4 数据挖掘的误区    …………………………………………………456                                              
16．5 成功的数据挖掘    …………………………………………………457                                              
16．6 数据挖掘的问题    …………………………………………………459                                              
16．7 数据挖掘的算法    …………………………………………………460                                              
16．8 数据挖掘的过程    …………………………………………………464                                              
16．9 总结    …………………………………………………466                                                         
附 录     …………………………………………………471