当前位置：
首页
>
出版信息
>
详细信息
快速检索
数据库：
各中心已购纸本教材
各中心已购电子教材
国内高校课程
国外著名大学课程
外文原版教材出版信息
外文影印版教材出版信息
名校购书信息
关键词：
A Modern Introduction to Probability and Statistics
- Understanding Why and How
书目信息
ISBN：
9781852338961（13位）
中图分类号：
O1
杜威分类号：
中文译名：
现代概率论与统计学导论
作者：
F.M. Dekking; C. Kraaikamp; H.P. Lopuha; L.E. Meester
编者：
语种：
English
出版信息
出版社：
Springer
出版地：
出版年：
2005
版本：
版本类型：
原版
丛书题名：
卷期：
文献信息
关键词：
Statistics
前言：
摘要：
内容简介：
Probability and Statistics are studied by most science students. Many current texts in the area are just cookbooks and, as a result, students do not know why they perform the methods they are taught, or why the methods work. The strength of this book is that it readdresses these shortcomings; by using examples, often from real-life and using real data, the authors show how the fundamentals of probabilistic and statistical theories arise intuitively. A Modern Introduction to Probability and Statistics has numerous quick exercises to give direct feedback to students. In addition there are over 350 exercises, half of which have answers, of which half have full solutions. A website gives access to the data files used in the text, and, for instructors, the remaining solutions. The only pre-requisite is a first course in calculus; the text covers standard statistics and probability material, and develops beyond traditional parametric models to the Poisson process, and on to modern methods such as the bootstrap.
目次：
Why Probability and Statistics?- Outcomes, Events and Probability.- Conditional Probability and Independence.- Discrete Random Variables.- Continuous Random Variables.- Simulation.- Expectation and Variance.- Computations with Random Variables.- Joint Distributions and Independence.- Covariance and Correlation.- More Computations with More Random Variables.- The Poisson Process.- The Law of Large Numbers.- The Central Limit Theorem.- Exploratory Data Analysis: Graphical Summaries.- Exploratory Data Analysis: Numerical Summaries.- Basic Statistical Models.- The Bootstrap.- Unbiased Estimators.- Efficiency and Mean Squared Error.- Maximum Likelihood.- The Method of Least Squares.- Confidence Intervals for the Mean.- More on Confidence Intervals.- Testing Hypotheses: Essentials.- Testing Hypotheses: Elaboration.- The t-test.- Comparing Two Samples.- Datasets.- Appendix A: Answers to Selected Exercises.- Appendix B: Solutions to Selected Exercises.- References.- Index.
附录：
全文链接：
读者对象：
Undergrad. textbook
实体信息
页码：
488
装帧：
Hard
尺寸：
其它形态细节：
其它信息
原价：
EUR
39.9500
原版ISBN：
其它ISBN：
图书特色：
书评：
扩展信息
Isbn：
1852338962
issue：
2006JC02
相关附件