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MDPSAS工具箱是马里兰大学开发的,基于MATLAB的一套面向对象的模块化仿真工具箱。包含半导体生产过程中的许多对象,对于研究学习是很好的指导材料。-mdpsas is a MATLAB-based set of object-oriented modular simulation tools for solving lumped and spatially distributed models generated from chemical process design and simula
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MATLAB在参数估计与假设检验中应用的范例,供学习使用-MATLAB example in parameter estimation and hypothesis testing applications for learning to use
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matlab参数估计与假设检验,实际数据和例子运行-Matlab parameter estimation and hypothesis testing, real data and examples
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For a given program, testing, locating the errors identified,
and correcting those errors is a critical, yet expensive process.
The field of Search Based Software Engineering (SBSE)
addresses these phases by formulating them as search problems.
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运用R语言进行正态分布时的期望假设检验与方差假设检验-R languages using normal expectation and variance when the hypothesis test hypothesis testing
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运用R语言进行正态分布时的数学期望假设检验与方差假设检验-R languages using normal expectation and variance when the hypothesis test hypothesis testing
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AIC & MDL
The Akaike information criterion (AIC) is a measure of the relative quality of statistical models for a given set of data. Given a collection of models for the data, AIC estimates the quality of each model, relative to each of the other m
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本程序用R语言书写,主要用于研究对于不同的总体分布,采用何种假设检验方式比较好,纳入考虑的有t检验,符号检验,符号秩检验。结果主要澄清一个误区,不是所有情况下,t检验都有效。-This procedure using the R language written mainly used to study for different population distribution, hypothesis testing using what better way, have taken into
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estimation and hypothesis testing
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基于贝叶斯准则的二元假设检验,对学习信号检测与估计很有帮助。-Based on Bayesian binary hypothesis testing, learning signal detection and estimation helpful.
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学习利用matlab软件进行参数估计与假设检验源代码(Learning to use MATLAB software for parameter estimation and hypothesis testing source code)
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假设检验 在MATLAB平台上完美的运行,在统计分析中常用(Hypothesis testing runs perfectly on the MATLAB platform and is commonly used in statistical analysis)
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用于构建数据概要,用于分类、模式识别、假设生成和测试;用于异常检测,检测远离群簇的点。(Used to build data outlines for classification, pattern recognition, hypothesis generation and testing; for anomaly detection, detecting points away from the cluster.)
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《深入浅出数据分析》以类似“章回小说”的活泼形式,生动地向读者展现优秀的数据分析人员应知应会的技术:数据分析基本步骤、实验方法、最优化方法、假设检验方法、贝叶斯统计方法、主观概率法、启发法、直方图法、回归法、误差处理、相关数据库、数据整理技巧;正文以后,意犹未尽地以三篇附录介绍数据分析十大要务、R工具及ToolPak工具,在充分展现《深入浅出数据分析》目标知识以外,为读者搭建了走向下一步深入研究的桥梁。
《深入浅出数据分析》构思跌宕起伏,行文妙趣横生,无论读者是职场老手,还是业界新人;无论是字
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在Matlab环境中编制了以雨流计数法为理论基础的二维载荷谱程序,用以对混合动力电动车电机驱动系统载荷时间历程进行统计处理,得到载荷幅均值雨流矩阵,进行幅均值各自分布假设检验,以及独立性和相关性检验,获得二维联合分布概率密度函数,建立混合动力电动车电机驱动系统台架试验用二维载荷谱.(Prepared in Matlab environment of the rain flow counting method with the theoretical basis of the two-dimens
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