Probability, Statistics, and Random Processes For Electrical Engineering, 3ed，概率，统计和随机过程在电子工程中的应用

《爱上统计学》英文原版！ 【内容简介】 在经过不断地摸索以及少量成功大量失败的尝试之后，我已经学会了以某种方式教授统计学，我和我的许多学生认为这种方式不会让人感到害怕，同时能够传递大量的信息。 为什么《爱上统计学》这本书不增加更多理论内容?很简单，初学者不需要。这并不是我认为理论不重要，而是在学习的这个阶段，我想提供的是我认为通过一定程度的努力可以理解和掌握的资料，同时又不会让你感到害怕而放弃将来选修更多的课程。我和其他老师都希望你能成功。 因此，如果你想详细了解方差分析中F值的含义，可以从Sage出版社查找其他的好书(我愿意向你推荐书目)。但是如果你想了解统计学为什么以及如何为你所用，这本书很合适。这本书能帮助你理解在专业文章中看到的资料，解释许多统计分析结果的意义，并且能教你运用基本的统计过程。 祝大家好运，希望你们能让我知道如何修订这本书才能更好地满足初学统计学的学生的需求。

Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not. Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you're familiar with the R programming language, and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format. Why exploratory data analysis is a key preliminary step in data science; How random sampling can reduce bias and yield a higher quality dataset, even with big data; How the principles of experimental design yield definitive answers to questions; How to use regression to estimate outcomes and detect anomalies; Key classification techniques for predicting which categories a record belongs to; Statistical machine learning methods that "learn" from data; Unsupervised learning methods for extracting meaning from unlabeled data.

统计预测与决策（第五版）上海财经大学出版社 徐国祥配套PPT

非打印版，文字可选取 [目录] 1. Generalities. 2. The Weak Topology and Its Metrization. 3. The Basic Types of Estimates. 4. Asymptotic Minimax Theory for Estimating a Location Parameter. 5. Scale Estimates. 6. Multiparameter Problems, In Particular Joint Estimation of Location and Scale. 7. Regression. 8. Robust Covariance and Correlation Matrices. 9. Rubustness of Design. 10. Exact Finite Sample Results. 11. Miscellaneous Topics. References. Index.

统计学习经典教程，小说风格，非扫描高清版，自购收藏。 Will Zach find Alice, the missing love of his life, and save the world? Will he survive the bridge of death? Can he escape the zombie horde? Statistically speaking the odds don’t look good…. Reluctant hero Zach Slade wakes up to find that his soul mate Alice has vanished. To find her, he must solve a puzzle using the only clue he has – Alice’s unfinished research report. If only he hadn’t skipped science class to form a band. The more Zach unravels the enigma of reality, the more he sense that something is very wrong. Did Alice ever exist? Who is the mysterious Professor Milton? What is causing people to forget who they are? And why is everyone intent on teaching him statistics? Join Zach on his bizarre journey … It will transform your understanding of statistics forever.

本书主要讲CT重建，包括CT系统概述、CT成像的物理基础、数学基础、信号处理基础以及3维解析和迭代重建算法。

An Introduction to MultivariateStatistical Analysis (3ed)

统计书籍：mathematical statistics and data analysis 2ed (djvu version)

There has been a long-felt need for a book that gives a self-contained and unified treatment of matrix differential calculus, specifically written for econometricians and statisticians. The present book is meant to satisfy this need. It can serve as a textbook for advanced undergraduates and postgraduates in econometrics and as a reference book for practicing econometricians. Mathematical statisticians and psychometricians may also find something to their liking in the book.