tw_mathematica的博客

模式识别与机器学习的课后题答案，英文原版答案啊，有些题目欠缺，大部分很完整， 题目难度较大的均有答案，欢迎下载

资源包含以下书籍的高清版{带书签}Applied Spatial Data Analysis with R (use R)，Beginning R AnIntroduction to Statistical Programming（英文），Doing Bayesian Data Analysis_ A Tutorial with R and BUGS，Functional Data Analysis with R and MATLAB (use R)。ggplot2：数据分析与图形艺术，Introducing Monte Carlo Methods with R (Januar 2010)，Introductory Statistics With R 2Nd Edition

本书对当代计算机算法，全面的，综合性的介绍。全书分为八章，涵盖基础知识、排序和顺序统计量、数据结构、高级设计部分、高级设计和分析技术，高级数据结构、图算法、算法问题选编，以及数学基础知识

本书内容包括线性规划与MATLAB的实现，即非线性规划、整数规划、动态规划、多目标规划与MATLAB的实现及图与网络分析技术等。为方便读者学习，本书安排了大量最优化方法在工程中的应用实例，根据需要逐个编写了解决这些问题的相应数学模型，应用MATLAB程序，通过简洁的运算给出了较为复杂问题的解。 本书可作为最优化技术方法或MATLAB优化工具箱应用的入门教材，供高职高专或本科院校管理、经济类专业的师生使用，也可供广大爱好者学习参考。

本书以易于理解的方式讲述了时间序列模型及其应用，内容包括：趋势，平稳时间序列模型，非平稳时间序列模型，模型识别、参数估计，模型诊断，预测、季节模型、时间序列回归

This contribution to the useR! series by Springer is designed to show newcomers how to do functional data analysis in the two popular languages, Matlab and R. We hope that this book will substantially reduce the time and effort required to use these techniques to gain valuable insights in a wide variety of applications.

This book explains how to actually do Bayesian data analysis, by real people (like you), for realistic data (like yours). The book starts at the basics, with notions of probability and programming, then progresses to advanced hierarchical models that are used in realistic data analysis. In other words, you do not need to already know statistics and programming. This book is speaking to a first-year graduate student or advanced undergraduate in the social or biological sciences: Someone who grew up in Lake Wobegon 1 , but who is not the mythical being that has the previous training of a nuclear physicist and then decided to learn about Bayesian statistics.

参数估计 统计学 参数估计 统计学 参数估计 统计学 参数估计 统计学 参数估计 统计学 参数估计 统计学 参数估计 统计学