CDF-based nonparametric confidence interval

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

IAML8.7 Confidence interval for generalization

From playlist Generalization and Evaluation

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

Emmanuel Candes

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

QAICourse4 12MC1

From playlist Applied Data Analysis and Statistical Inference

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