Introductory Statistics by T. H. Wonnacott, R. J. Wonnacott

简介:
更新和修订版的流行介绍统计经济学或商业的学生,适合一个或两个学期的课程。提出了一种通常仅在更高级的文本中可用的方法,但使用与声音演示一致的最简单的数学方法。
第五版包括了大量的新问题和例子 (其中许多是从文献中得出的现实生活中的问题),以支持理论讨论。强调回归模型,包括非线性回归和多元回归。涵盖的主题包括随机化以消除偏差,探索性数据分析,图表,投标的期望值,引导,路径分析,稳健估计,最大似然估计和贝叶斯估计和决策。
英文简介:
An updated and revised edition of the popular introduction to statistics for students of economics or business, suitable for a one- or two-semester course. Presents an approach that is generally available only in much more advanced texts, yet uses the simplest mathematics consistent with a sound presentation.
This Fifth Edition includes a wealth of new problems and examples (many of them real-life problems drawn from the literature) to support the theoretical discussion. Emphasizes the regression model, including nonlinear and multiple regression. Topics covered include randomization to eliminate bias, exploratory data analysis, graphs, expected value in bidding, the bootstrap, path analysis, robust estimation, maximum likelihood estimation and Bayesian estimation and decisions.
- 书名
- Introductory Statistics by T. H. Wonnacott, R. J. Wonnacott
- 译名
- 统计学入门,作者:TH Wonnacott、RJ Wonnacott
- 语言
- 英语
- 年份
- 2015
- 页数
- 890页
- 大小
- 40.56 MB
- 标签
- 统计学
- 下载
Introductory Statistics by T. H. Wonnacott, R. J. Wonnacott.pdf
- 密码
- 65536
最后更新:2025-04-12 23:58:02
←The Ultimate Guide to Basic Data Cleaning
→Set Theoretic Approach to Algebraic Structures in Mathematics - A Revelation