The salient features of this book are . Functional and statistical independence of random variables are explained. . Ready reference to commonly occurring density and distribution functions and their means and variances is provided. . A section on Benford’s logarithmic law, which is used in detecting tax fraud, is included. . More than 300 examples, many of them solved in different ways to illustrate the theory and various applications of probability, are presented. . Most examples have been substantiated with graphs drawn to scale.

3D-MICE：横截面和纵向插补的整合 要求 代码是用R编写的。 开始使用 要训​​练，跑步（最好以R减价跑步） source('tempMICEGPEvalTr.R') 这是一个包装器代码，调用各种子例程来生成训练数据，掩盖缺失值并执行3D-MICE插补，每个步骤都包装在其自己的R源文件中，并且应该是不言自明的。 同样地，进行训练，跑步（最好以R降级的方式跑步） source('tempMICEGPEvalTe.R') 引文 @article{luo20173d, title={3D-MICE: integration of cross-sectional and longitudinal imputation for multi-analyte longitudinal clinical data}, author={Luo, Yuan and Szolovits, Pe

包括C#源码和exe。自定义进程名称和需要启动的程序路径，自定义监控间隔时间。

The fourth edition of "Probability, Random Variables and Stochastic Processes" has been updated significantly from the previous edition, and it now includes co-author S. Unnikrishna Pillai of Polytechnic University. The book is intended for a senior/graduate level course in probability and is aimed at students in electrical engineering, math, and physics departments. The authors' approach is to develop the subject of probability theory and stochastic processes as a deductive discipline and to illustrate the theory with basic applications of engineering interest.

Gubner J.A. - Probability and Random Processes for Electrical and Computer Engineers (Cambridge University Press, 2006)英文原版

随机过程和滤波理论 作者：Andrew H

Adventures in Stochastic Processes (Sidney Resnick)英文原版 随机过程经典读物

This definitive textbook provides a solid introduction to discrete and continuous stochastic processes, tackling a complex field in a way that instills a deep understanding of the relevant mathematical principles, and develops an intuitive grasp of the way these principles can be applied to ...

皮格里格 适用于Python的Kriging工具包。 目的 该代码支持2D和3D普通和通用克里金法。 内置了标准变异函数模型（线性，幂，球面，高斯，指数），但也可以使用自定义变异函数模型。 2D通用克里金代码当前支持区域线性，对数对数和外部漂移项，而3D通用克里金代码在所有三个空间维度上都支持区域线性漂移项。 两种通用克里金法也都支持通用的“指定”和“功能”漂移功能。 使用“指定的”漂移功能，用户可以手动指定每个数据点和所有网格点的漂移值。 借助“功能性”漂移功能，用户可以提供定义漂移的空间坐标的可调用函数。 该软件包包括一个模块，该模块包含的功能对于使用ASCII网格文件（ \*.asc ）应该有用。 有关更多详细信息和示例，请参见的文档。 安装 PyKrige需要Python 3.5以上版本以及numpy，scipy。 可以通过以下方式从PyPi安装： pip install p

這是第二版的手稿，完成於2009.08.17 頁數:333 經典人物Gallager不多加介紹 這本書對Discrete-time Stochastic Proccesses描述非常透徹，很值得一讀的書！