If is a discrete random variable taking on values , then we can write . Implementation of this formula to generate discrete random variables is actually quite straightforward and can be summarized as follows. To generate , Generate if , set . we defi…

1.2 Simple Random Sampling Census, :全部信息 Sampling: 抽样方式: representative sample:有偏向,研究者选择自己觉得有代表性的sample probability sampling:使用随机数表不用研究者来抽样,较为客观(研究者可以选择自己觉得有代表性和没有代表性的sample) simple random sampling. simple random sampling with replacement, whereby a…

title: [概率论]3-8:随机变量函数(Functions of a Random Variable) categories: Mathematic Probability keywords: The Probability Integral Transformation 概率积分变换 Simulation 仿真 Pseudo-Random Numbers 伪随机数 General Function toc: true date: 2018-03-16 09:49:24 Abstract:…

title: [概率论]3-9:多随机变量函数(Functions of Two or More Random Variables) categories: - Mathematic - Probability keywords: - Convolution - 卷积 toc: true date: 2018-03-19 10:12:34 Abstract: 本文介绍多随机变量的函数 Keywords: 离散多随机变量的函数,连续多随机变量的函数,卷积 开篇废话 任何一个领域的顶级人才都是需要很…

PROJECT MANAGEMENT KNOWLEDGE AREAS项目管理知识体系 2 PROJECT LIFE CYCLE / PROJECT MANAGEMENT PROCESS GROUPS项目生命周期及过程组 10 SCOPE范围管理 11 HUMAN RESOURCE人力资源管理 12 COMMUNICATIONS沟通管理 15 TIME时间管理 17 COST成本管理 19 RISK风险管理 22 QUALITY质量管理 23 PROCUREMENT采购管理 23 INTEGRAT…

Understanding Convolution in Deep Learning Convolution is probably the most important concept in deep learning right now. It was convolution and convolutional nets that catapulted deep learning to the forefront of almost any machine learning task the…

https://ocw.mit.edu/courses/find-by-topic/#cat=mathematics Course # Course Title Level 1.010 Uncertainty in Engineering Undergraduate 1.017 Computing and Data Analysis for Environmental Applications Undergraduate 2.003J Dynamics and Control I (Fall 2…

course link: https://class.coursera.org/fmri1-001 Part 1  ❤ Three fundmental goals in fMRI: localization (brain mapping approach: task comparison, brain-behavior correlation, information-based mapping); connectivity (functional connectivity (seed-bas…

Shannon entropy is one of the most important metrics in information theory. Entropy measures the uncertainty associated with a random variable, i.e. the expected value of the information in the message (in classical informatics it is measured in bits…

ISSN Abbreviated Journal Title Full Title Category Subcategory Country total Cites IF        2013-2014 IF 2012-2013 IF 2011-2012 IF 2010-2011 IF 2009-2010 IF 2008-2009 IF 2007-2008 5-Year Impact Factor Immediacy Index Articles Cited Half-Life Eigenfa…