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Deep Learning Regression with R
by Diego Fernandez- 3.4
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4 hours on-demand video
Select relevant predictor features subset through Student t-test and ANOVA F-test univariate filter methods and extract predictor features transformations through principal component analysis. For features selection, you’ll implement Student t-test and ANOVA F-test univariate filter methods....
$9.99
Lean Six Sigma Green Belt Online Course with Python
by Nilakantasrinivasan Janakiraman- 4.4
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17.5 hours on-demand video
ANOVA...
$9.99
Behavioural Economics in Action
by Dilip Soman- 0.0
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6 Weeks
Understand the key elements of an experiment, differentiate between three basic types of experimental designs, and gain insight into ANOVA and regression techniques for analyzing data....
$139
Inferential Statistics
by Annemarie Zand Scholten , Emiel van Loon- 4.4
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Approx. 23 hours to complete
01 One-way ANOVA 02 One-way ANOVA - Assumptions and F-test 03 One-way ANOVA - Post-hoc t-tests 04 Factorial ANOVA 05 Factorial ANOVA - Assumptions and tests 06 ANOVA and regression Analysis of variance - Basics and one-way ANOVA Analysis of variance - Factorial ANOVA and regression...
Basics of Statistical Inference and Modelling Using R
by Elena Moltchanova- 0.0
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6 Weeks
Learn why a statistical method works, how to implement it using R and when to apply it and where to look if the particular statistical method is not applicable in the specific situation. Basics of Statistical Inference and Modelling Using R is part one of the Statistical Analysis in R professional certificate....
$249
Intro to Inferential Statistics
by Ronald Rogers , Katie Kormanik , Sean Laraway- 0.0
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Approx. 2 months
lesson 4 ANOVA Learn how to test whether or not there are differences between three or more groups....
Free
Structural Equation Model and its Applications | 结构方程模型及其应用 (粤语)
by Prof. Kit Tai Hau 侯傑泰- 0.0
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Approx. 14 hours to complete
课程介绍： 在社会学、心理学、教育学、经济学、管理学、市场学等研究领域的数据分析中，结构方程建模是当前最前沿的统计方法中应用最广、研究最多的一个。它包含了方差分析、回归分析、路径分析和因子分析，弥补了传统回归分析和因子分析的不足，可以分析多因多果的联系、潜变量的关系，还可以处理多水平数据和纵向数据，是非常重要的多元数据分析工具。本课程系统地介绍结构方程模型和LISREL软件的应用，内容包括：结构方程分析（包括验证性因子分析）的基本概念、统计原理、在社会科学研究中的应用、常用模型及其LISREL程序、结果的解释和模型评价。学员应具备基本的统计知识（如：标准差、t-检验、相关系数），理解回归分析和因子分析的概念。 注：本课程配套教材为《结构方程模型及其应用》（以LISREL软件为例）。 修课背景要求： 讲学语言：普通话及广东话 / 简体中文 这是一个艰深的高阶课程，学员应有下述的知识及训练：(i) 使用SPSS, SAS或其他类似软件包；(ii) 回归；和(iii) 因子分析(探索性因子分析)。 课程目标： 完成课程之后，学生的预期学习成果是： 1. 能够说出与传统的ANOVA和回归分析法相比，结构方程模型的优点； 2. 能够在仪器上进行验证性因子分析； 3. 能够用结构方程模型分析简单的全模型； 4. 通过计算出各种拟合指数和运用其他评估标准，能够比较并选出适合的模型； 5. 能够基于相应的参数统计修改模型； 课程资料 课程简介 课程须知 附加教材 参考书目 评量方式 学生常见问题及解答 第一课：简介 (参考：第一章 引言) 1. 1 简介（上） 1. 2 简介（下） 简介 第二课：探索性与验证性因子分析 (参考：第一章 引言) 2. 1 探索性与验证性因子分析（上） 2. 2 探索性与验证性因子分析（下） 探索性与验证性因子分析...
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The Essential Guide to Stata
by F. Buscha- 4.4
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14 hours on-demand video
Correlation and ANOVA...
$14.99
Regression Machine Learning with Python
by Diego Fernandez- 3.5
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6 hours on-demand video
Select relevant predictor features subset through Student t-test, ANOVA F-test, false discovery rate and family-wise error rate univariate filter methods. For univariate filter methods, you’ll implement Student t-test, ANOVA F-test, false discovery rate and family-wise error rate. Select relevant predictor features subset through Student t-test, ANOVA F-test, false discovery rate and family-wise error rate univariate filter methods....
$12.99
Hands-On HR Analytics Online Course for Human Resources
by Nilakantasrinivasan Janakiraman- 4.2
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6.5 hours on-demand video
ANOVA...
$9.99
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