之前找了很久才找到了，传上来更大家共享下，希望对大家有帮助，欢迎下载或者永久保存。 The Elements of Statistical Learning 统计学习基础，包括中文影印版、英文第二版、英文答案3个pdf

统计信号处理（检测理论），国外经典教材，英文版，分为上下两册，另一册为估计理论

This solutions manual provides solutions to the problems contained in the first edition of our book STATISTICAL AND ADAPTIVE SIGNAL PROCESSING. The solutions have been prepared and written by David Marden and ourselves. We have attempted to provide very detailed solutions to the problems with notation consistent with that used in the book. Where applicable, we have also given a printout of Matlab code and figures for the problem solution.

Statistical Analysis of fMRI Data - F. Gregory Ashby

统计学习基础 根据GitHub上的latex索引文件自己合成的

复旦计算机学院的吴立德吴老师所开机器学习课程用的教科书 作者： Trevor Hastie Robert Tibshirani Jerome Friedman

Product Details Paperback: 254 pages Publisher: Springer; 1 edition (Nov 16 2005) Language: English ISBN-10: 0387277811 ISBN-13: 978-0387277813 Product Description: Statistical Monitoring of Clinical Trials: Fundamentals for Investigators introduces the investigator and statistician to monitoring procedures in clinical research. Clearly presenting the necessary background with limited use of mathematics, this book increases the knowledge, experience, and intuition of investigations in the use of these important procedures now required by the many clinical research efforts. The author provides motivated clinical investigators the background, correct use, and interpretation of these monitoring procedures at an elementary statistical level. He defines terms commonly used such as group sequential procedures and stochastic curtailment in non-mathematical language and discusses the commonly used procedures of Pocock, O’Brien–Fleming, and Lan–DeMets. He discusses the notions of conditional power, monitoring for safety and futility, and monitoring multiple endpoints in the study. The use of monitoring clinical trials is introduced in the context of the evolution of clinical research and one chapter is devoted to the more recent Bayesian procedures.

这是关于统计推理的电子书，高清，最新版本，经典著作，英文版

Applied Multivariate Statistical Analysis 6th Edition Pearson New International Edition Author: Richard A. Johnson 文字版

Part I Preliminaries 1 Introduction 1.1 Prologue: Rationalist and Empiricist Approaches 1.2 Scientific Content 1.2.1 Questions that linguistics should answer 1.2.2 Non 1.2.3 Language and cognition as probabilistic phenomena 1.3 The Ambiguity of Language: Why NLP is Difficult 1.4 Dirty Hands 1.4.1 Lexical resources 1.4.2 Word counts 1.4.3 Zipf’s laws 1.4.4 Collocations 1.4.5 Concordances 1.5 Further Reading 1.6 Exercises 2 Mathematical Foundations 2.1 Elementary Probability Theory 2.1.1 Probability spaces 2.1.2