Estimation theory | Empirical process | Nonparametric statistics | Robust statistics
In statistics, cumulative distribution function (CDF)-based nonparametric confidence intervals are a general class of confidence intervals around statistical functionals of a distribution. To calculate these confidence intervals, all that is required is anindependently and identically distributed (iid) sample from the distribution and known bounds on the support of the distribution. The latter requirement simply means that all the nonzero probability mass of the distribution must be contained in some known interval . (Wikipedia).
Lect.7E: Confidence Interval For The Difference Of Two Means
Lecture with Per B. Brockhoff. Chapters: 00:00 - Confidence Interval For Difference Between Two Means;
From playlist DTU: Introduction to Statistics | CosmoLearning.org
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
07 Data Analytics: Confidence Intervals
Lecture on confidence intervals. What are they? How to calculate them? How we can impact business decisions.
From playlist Data Analytics and Geostatistics
(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
Lesson: Calculate a Confidence Interval for a Population Proportion
This lesson explains how to calculator a confidence interval for a population proportion.
From playlist Confidence Intervals
From playlist Plenary talks One World Symposium 2020
Lect.7G: R And The Numbers Of The Day
Lecture with Per B. Brockhoff. Chapters: 00:00 - Software R;
From playlist DTU: Introduction to Statistics | CosmoLearning.org
11. Parametric Hypothesis Testing (cont.) and Testing Goodness of Fit
MIT 18.650 Statistics for Applications, Fall 2016 View the complete course: http://ocw.mit.edu/18-650F16 Instructor: Philippe Rigollet In this lecture, Prof. Rigollet talked about Glivenko-Cantelli Theorem (fundamental theorem of statistics), Donsker’s Theorem, and Kolmogorov-Smirnov test
From playlist MIT 18.650 Statistics for Applications, Fall 2016
How to calculate margin of error and standard deviation
In this tutorial I show the relationship standard deviation and margin of error. I calculate margin of error and confidence intervals with different standard deviations. Playlist on Confidence Intervals http://www.youtube.com/course?list=EC36B51DB57E3A3E8E Like us on: http://www.facebook
From playlist Confidence Intervals
05 Data Analytics: Parametric Distributions
Lecture on parametric distributions, examples and applications. Follow along with the demonstration workflows in Python: o. Interactive visualization of parametric distributions: https://github.com/GeostatsGuy/PythonNumericalDemos/blob/master/Interactive_ParametricDistributions.ipynb o.
From playlist Data Analytics and Geostatistics
Statistical data analysis | Statistical Data Science | Part 1
In this course you will learn how to analyze data. #Statistic plays important role in terms of data analysis. Here you will get exposed to utilize and understand various statistical method to analyse data. The following topic has discussed in this course. - Central tendency (mean and me
From playlist Data Analysis
Z Interval [Confidence Interval] for a Proportion
Calculating, understanding, and interpreting a Z Interval [confidence interval] for an unknown population proportion
From playlist Unit 8: Hypothesis Tests & Confidence Intervals for Single Means & for Single Proportions
07b Data Analytics: Hypothesis Testing
Lecture on hypothesis testing.
From playlist Data Analytics and Geostatistics
Deep Learning Lecture 3: Maximum likelihood and information
Slides available at: https://www.cs.ox.ac.uk/people/nando.defreitas/machinelearning/ Course taught in 2015 at the University of Oxford by Nando de Freitas with great help from Brendan Shillingford.
From playlist Deep learning at Oxford 2015
16b Data Analytics: Model Checking
Spatial, subsurface model checking including statistical inputs, and accuracy of estimates and uncertainty model.
From playlist Data Analytics and Geostatistics
Lect.5F: Confidence Interval For Mean
Lecture with Per B. Brockhoff. Chapters: 00:00 - Interval Estimation; 04:00 - Confidence Intervals; 05:30 - Example 4; 11:30 - In General;
From playlist DTU: Introduction to Statistics | CosmoLearning.org
JASP 0.10 Tutorial: Correlations (Episode 9)
In this JASP tutorial, I go through a Correlation Matrix example, discussing and explaining each option you can use to fully explore the test. The data presented here is mine and is unpublished. I am using it for demonstration purposes only. Proper credit should be given if used elsewhere
From playlist JASP Tutorials