Parametric and nonparametric tests
Parametric tests are most commonly used in healthcare research. They include tests such as Student's t-test and ANOVA. There is, however a rich set of non-parametric tests that are much more appropriate to use in certain circumstances.
From playlist Learning medical statistics with python and Jupyter notebooks
A Gentle Introduction to Non-Parametric Statistics (15-1)
We are now going to look at a special class of tests that give us the ability to do statistical analyses in circumstances when parametric tests just won’t do. They are called non-parametric statistics. Parametric statistics like t tests and ANOVA compare groups using scale-level data. Non-
From playlist WK15 Chi-Square & Non-Parametric Alternatives - Online Statistics for the Flipped Classroom
Overview of non probability sampling; advantages and disadvantages, types. Check out my e-book, Sampling in Statistics, which covers everything you need to know to find samples with more than 20 different techniques: https://prof-essa.creator-spring.com/listing/sampling-in-statistics
From playlist Sampling
Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys Introduction to Statistics - Quantitative Data versus Qualitative Data
From playlist Statistics
Intro to non normal distributions. Several examples including exponential and Weibull.
From playlist Probability Distributions
Nonparametric additive regression – Byeong Park – ICM2018
Probability and Statistics Invited Lecture 12.4 Nonparametric additive regression Byeong Park Abstract: In this article we discuss statistical methods of estimating structured nonparametric regression models. Our discussion is mainly on the additive models where the regression function (
From playlist Probability and Statistics
VARIABLES in Statistical Research (2-1)
A variable is any characteristic that can vary. An organized collection of numbers can be a variable. Qualitative variables indicate an attribute or belongingness to a category. Dichotomous variables are discrete variables that can have two and only two values. Quantitative variables indic
From playlist Forming Variables for Statistics & Statistical Software (WK 2 - QBA 237)
(PP 6.2) Multivariate Gaussian - examples and independence
Degenerate multivariate Gaussians. Some sketches of examples and non-examples of Gaussians. The components of a Gaussian are independent if and only if they are uncorrelated.
From playlist Probability Theory
Parametric vs. nonparametric statistics
This video lesson is part of a complete course on neuroscience time series analyses. The full course includes - over 47 hours of video instruction - lots and lots of MATLAB exercises and problem sets - access to a dedicated Q&A forum. You can find out more here: https://www.udemy.
From playlist NEW ANTS #5) Permutation-based statistics
Basic Descriptive Statistics Lecture
Lecturer: Dr. Erin M. Buchanan Missouri State University Spring 2017 This video covers basic descriptive statistics: histograms, frequencies, mean, standard deviations, standard error, and null hypothesis testing. Lecture materials and assignment available at statisticsofdoom.com. http
From playlist Advanced Statistics Videos
This lecturelet will introduce you to the series on statistical analyses of time-frequency data. For more online courses about programming, data analysis, linear algebra, and statistics, see http://sincxpress.com/
From playlist OLD ANTS #8) Statistics
Check Your Assumptions – The Test Assumptions of Statistical Testing (8-12)
You know what happens when you assume? If your assumptions are wrong, it prevents you from looking at the world accurately. Parametric inferential statistics are built on certain assumptions about the data. And if those assumptions are violated, the conclusions based on those assumptions a
From playlist WK8 Statistical Hypothesis Testing (NHST) - Online Statistics for the Flipped Classroom
Saharon Rosset: "Bootstrap - The Statistician's Magic Wand"
Computational Genomics Summer Institute 2016 "Bootstrap - The Statistician's Magic Wand" Saharon Rosset, Tel Aviv University Institute for Pure and Applied Mathematics, UCLA July 21, 2016 For more information: http://computationalgenomics.bioinformatics.ucla.edu/
From playlist Computational Genomics Summer Institute 2016
Get a Free Trial: https://goo.gl/C2Y9A5 Get Pricing Info: https://goo.gl/kDvGHt Ready to Buy: https://goo.gl/vsIeA5 Develop a predictive model without specifying a function that describes the relationship between variables. For more videos, visit http://www.mathworks.com/products/curvefi
From playlist Math, Statistics, and Optimization
Non-parametric tests - Sign test, Wilcoxon signed rank, Mann-Whitney
See all my videos at http://www.zstatistics.com/ 0:00 Introduction 2:48 Definition of "non-parametric" 5:05 Sign test 11:26 Wilcoxon signed rank test 20:30 Mann-Whitney U test/Wilcoxon signed rank test
From playlist Statistical Inference (7 videos)
Tilmann Gneiting: Isotonic Distributional Regression (IDR) - Leveraging Monotonicity, Uniquely So!
CIRM VIRTUAL EVENT Recorded during the meeting "Mathematical Methods of Modern Statistics 2" the June 02, 2020 by the Centre International de Rencontres Mathématiques (Marseille, France) Filmmaker: Guillaume Hennenfent Find this video and other talks given by worldwide mathematicians
From playlist Virtual Conference
05c Data Analytics: Distribution Transform
A short discussion on the topic of distribution transforms, e.g. transforming your data to the parametric Gaussian distribution.
From playlist Data Analytics and Geostatistics
How to do a Pearson Correlation by Hand (13-7)
Doing a correlation example by hand is a great way to really understand correlation. We will begin with the assumptions for the data and the necessary settings for null hypothesis testing. Next, I will show you an example of using the correlation formula on a simple dataset. You will also
From playlist WK13 Correlation - Online Statistics for the Flipped Classroom
Mean v Median and the implications
Differences between the mean and median suggest the presence of outliers and/or the possible shape of a distribution
From playlist Unit 1: Descriptive Statistics