Discover how empirical researchers today actually consider and apply econometric methods with the practical approach in Wooldridge's INTRODUCTORY ECONOMETRICS: A MODERN APPROACH, 6E. Unlike traditional texts, this book uniquely demonstrates how econometrics has moved beyond a set of abstract tools to become genuinely useful for answering questions in business, policy evaluation, and forecasting. INTRODUCTORY ECONOMETRICS is organized around the type of data being analyzed with a systematic approach that only introduces assumptions as they are needed. This makes the material easier to understand and, ultimately, leads to better econometric practices. Packed with relevant applications, the text incorporates more than 100 intriguing data sets, available in six formats. Updates introduce the latest emerging developments in the field. Gain a full understanding of the impact of econometrics in practice today with the insights and applications found only in INTRODUCTORY ECONOMETRICS: A MODERN APPROACH, 6E.

Covering point process theory, random geometric graphs and coverage processes, this rigorous introduction to stochastic geometry will enable you to obtain powerful, general estimates and bounds of wireless network performance and make good design choices for future wireless architectures and protocols that efficiently manage interference effects. Practical engineering applications are integrated with mathematical theory, with an understanding of probability the only prerequisite. At the same time, stochastic geometry is connected to percolation theory and the theory of random geometric graphs and accompanied by a brief introduction to the R statistical computing language. Combining theory and hands-on analytical techniques with practical examples and exercises, this is a comprehensive guide to the spatial stochastic models essential for modelling and analysis of wireless network performance.

机器学习三大经典之一，The Elements of Statistical Learning(2nd)，最新版，我添加了带详细目录。

此文件包括三个关于图像显著性的代码，每个模型单独成一个文件夹，并用其模型名称命名，三个模型分别是ITTi模型、GBVS模型和SR模型，这三个模型都是使用MATLAB实现的，下载后可以直接使用MATLAB运行，另文件附有一个链接。

Computer architecture: a quantitative approach 第三版的课后答案

Computer networking a top down approach solutions 6th edition. 经过验证，正确的solutions。

Within the mathematical programming community, it is common to split the field into topics such as linear programming, nonlinear programming, network flows, integer and combinatorial optimization, and, finally, stochastic programming. Convenient as that may be, it is conceptually inappropriate. It puts forward the idea that stochastic programming is distinct from integer programming the same way that linear programming is distinct from nonlinear programming. The counterpart of stochastic programming is, of course, deterministic programming. We have stochastic and deterministic linear programming, deterministic and stochastic network flow problems, and so on. Although this book mostly covers stochastic linear programming (since that is the best developed topic), we also discuss stochastic nonlinear programming, integer programming and network flows.

有关Grobner基的经典书籍 Grobner基是代数计算中的经典工具。 Grobner Bases A Computational Approach to Commutative Algebra

美国Polytechnic University的Athanasios Papoulis教授的经典教材配套习题答案

computer networking a top-down approach第五版文字版.part1，好不容易找到的真正的文字版pdf