图书介绍
大样本理论基础 英文版PDF|Epub|txt|kindle电子书版本网盘下载
- （美）E.L.莱曼著 著
- 出版社： 北京;西安：世界图书出版公司
- ISBN：751922077X
- 出版时间：2016
- 标注页数：632页
- 文件大小：90MB
- 文件页数：645页
- 主题词：样本调查(统计学)－英文
PDF下载
下载说明
大样本理论基础 英文版PDF格式电子书版下载
下载的文件为RAR压缩包。需要使用解压软件进行解压得到PDF格式图书。建议使用BT下载工具Free Download Manager进行下载,简称FDM(免费,没有广告,支持多平台）。本站资源全部打包为BT种子。所以需要使用专业的BT下载软件进行下载。如BitComet qBittorrent uTorrent等BT下载工具。迅雷目前由于本站不是热门资源。不推荐使用！后期资源热门了。安装了迅雷也可以迅雷进行下载！
（文件页数 要大于 标注页数，上中下等多册电子书除外）
注意：本站所有压缩包均有解压码： 点击下载压缩包解压工具
图书目录
1 Mathematical Background1
1.1 The concept of limit2
1.2 Embedding sequences8
1.3 Infinite series13
1.4 Order relations and rates of convergence18
1.5 Continuity26
1.6 Distributions30
1.7 Problems34
2 Convergence in Probability and in Law47
2.1 Convergence in probability47
2.2 Applications55
2.3 Convergence in law63
2.4 The central limit theorem72
2.5 Taylor's theorem and the delta method85
2.6 Uniform convergence93
2.7 The CLT for independent non-identical random variables97
2.8 Central limit theorem for dependent variables106
2.9 Problems119
3 Performance of Statistical Tests133
3.1 Critical values133
3.2 Comparing two treatments146
3.3 Power and sample size158
3.4 Comparison oftests:Relative efficiency173
3.5 Robustness187
3.6 Problems202
4 Estimation219
4.1 Confidence intervals219
4.2 Accuracy of point estimators232
4.3 Comparing estimators239
4.4 Sampling from a finite population253
4.5 Problems269
5 Multivariate Extensions277
5.1 Convergence ofmultivariate distributions277
5.2 The bivariate normal distribution287
5.3 Some linear algebra300
5.4 The multivariate normal distribution309
5.5 Some applications319
5.6 Estimation and testing in 2×2 tables330
5.7 Testing goodness of fit335
5.8 Problems349
6 Nonparametric Estimation363
6.1 U-Statistics364
6.2 Statistical functionals381
6.3 Limit distributions of statistical functionals393
6.4 Density estimation406
6.5 Bootstrapping420
6.6 Problems435
7 Efficient Estimators and Tests451
7.1 Maximum likelihood452
7.2 Fisher information462
7.3 Asymptotic normality and multiple roots469
7.4 Efficiency484
7.5 The multiparameter case Ⅰ．Asymptotic normality497
7.6 The multiparameter case Ⅱ．Efficiency509
7.7 Tests and confidence intervals525
7.8 Contingency tables541
7.9 Problems551
Appendix571
References591
Author Index609
Subject Index615