Estimation

"Estimate the result of a calculation by first rounding each number."

From playlist Number: Rounding & Estimation

http://AllSignalProcessing.com for more great signal-processing content: ad-free videos, concept/screenshot files, quizzes, MATLAB and data files. General notion of estimating a parameter and measures of estimation quality including bias, variance, and mean-squared error.

From playlist Estimation and Detection Theory

Teach Astronomy - Estimation

http://www.teachastronomy.com/ It's not always possible to measure very precise numbers in science and especially in astronomy. It's not always possible, and it's not always required. Very often in science we are able to go quite far with rough estimates, so estimation is a very powerful

From playlist 01. Fundamentals of Science and Astronomy

Statistics 5_1 Confidence Intervals

In this lecture explain the meaning of a confidence interval and look at the equation to calculate it.

From playlist Medical Statistics

(ML 4.1) Maximum Likelihood Estimation (MLE) (part 1)

Definition of maximum likelihood estimates (MLEs), and a discussion of pros/cons. A playlist of these Machine Learning videos is available here: http://www.youtube.com/my_playlists?p=D0F06AA0D2E8FFBA

From playlist Machine Learning

Statistics Lecture 3.3: Finding the Standard Deviation of a Data Set

https://www.patreon.com/ProfessorLeonard Statistics Lecture 3.3: Finding the Standard Deviation of a Data Set

From playlist Statistics (Full Length Videos)

Calculate Sample Size Interval of A Population Mean

How to calculate the sample size. Includes discussion and visualization of how sample sizes changes when standard deviation, margin of error changes too. Calculating Sample Size of A Proportion https://youtu.be/ni3YAUF7qy4 Derving Equation https://youtu.be/5LvL1kbNoCM Calculating z sco

From playlist Sample Size

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

QAICourse6 15MLE

From playlist Applied Data Analysis and Statistical Inference

Ruby On Ales 2015 - Estimation Blackjack and Other Games: a Comedic Compendium

By, Amy Unger Running a good estimation meeting is hard. It’s easy to get lost in the weeds of implementation, and let weird social interactions slip into our estimating process. You, too, may have played Estimation Blackjack without realizing it, being “out” if you give an estimate higher

From playlist Ruby on Ales 2015

23. Classical Statistical Inference I

MIT 6.041 Probabilistic Systems Analysis and Applied Probability, Fall 2010 View the complete course: http://ocw.mit.edu/6-041F10 Instructor: John Tsitsiklis License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu

From playlist MIT 6.041SC Probabilistic Systems Analysis and Applied Probability, Fall 2013

Power Analysis, Clearly Explained!!!

If you're doing an experiment, a Power Analysis is a must. It ensures reproducibility by helping you avoid p-hacking and being fooled by false positives. NOTE: This StatQuest assumes that you are already familiar with the concept of Statistical Power, Population Parameters vs Estimated Pa

From playlist StatQuest

Ensemble Methods in Scikit Learn

We explore the really heavy hitters: ensemble methods. We go over the meta estimators: voting classifier, adaboost, and bagging. And then we dive into the two power houses: random forests and gradient boosting. Associated Github Commit: https://github.com/knathanieltucker/bit-of-data-scie

From playlist A Bit of Data Science and Scikit Learn

The Optimizer's Curse: Disappointing Decisions

My entry in 3blue1brown's Summer of Math Exposition 2, enjoy :) (P.S. you can download a copy of my blackboard here if you're interested: https://www.dropbox.com/s/y18qjo4klz70jpm/recordingfinal.png?dl=0). One mistake that I made was not being more specific about the circumstances in whi

From playlist Summer of Math Exposition 2 videos

Nexus Trimester - Gábor Lugosi (Pompeu Fabra University) 1/2

How to estimate the mean of a random variable? - Part 1 Gábor Lugosi (Pompeu Fabra University) March 14, 2016 Abstract: Given n independent, identically distributed copies of a random variable, one is interested in estimating the expected value. Perhaps surprisingly, there are still open

From playlist 2016-T1 - Nexus of Information and Computation Theory - CEB Trimester

RubyConf 2015 - I Estimate this Talk will be 20 Minutes Long, Give or Take 10 Minutes

I Estimate this Talk will be 20 Minutes Long, Give or Take 10 Minutes by Noel Rappin Estimates are like weather forecasts. Getting them right is hard, and everybody complains when you are wrong. Estimating projects is often critically important to the people who pay us to develop software

From playlist RubyConf 2015

22. Bayesian Statistical Inference II

MIT 6.041 Probabilistic Systems Analysis and Applied Probability, Fall 2010 View the complete course: http://ocw.mit.edu/6-041F10 Instructor: John Tsitsiklis License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu

From playlist MIT 6.041SC Probabilistic Systems Analysis and Applied Probability, Fall 2013

#21. Finding the Sample Size Needed to Estimate a Population Proportion using StatCrunch

Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys #21. Finding the Sample Size Needed to Estimate a Population Proportion using StatCrunch

From playlist Statistics Final Exam

Special Topics - The Kalman Filter (6 of 55) A Simple Example of the Kalman Filter (Continued)

Visit http://ilectureonline.com for more math and science lectures! In this video I will use the Kalman filter to zero in the true temperature given a sample of 4 measurements. Next video in this series can be seen at: https://youtu.be/-cD7WkbAIL0

From playlist SPECIAL TOPICS 1 - THE KALMAN FILTER

Estimation

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