In statistics, point estimation involves the use of sample data to calculate a single value (known as a point estimate since it identifies a point in some parameter space) which is to serve as a "best guess" or "best estimate" of an unknown population parameter (for example, the population mean). More formally, it is the application of a point estimator to the data to obtain a point estimate. Point estimation can be contrasted with interval estimation: such interval estimates are typically either confidence intervals, in the case of frequentist inference, or credible intervals, in the case of Bayesian inference. More generally, a point estimator can be contrasted with a set estimator. Examples are given by confidence sets or credible sets. A point estimator can also be contrasted with a distribution estimator. Examples are given by confidence distributions, randomized estimators, and Bayesian posteriors. (Wikipedia).
Determining the Distance Between a Line and a Point
http://mathispower4u.yolasite.com/
From playlist Equations of Planes and Lines in Space
This video show how to use the distance formula to determine the distance between two points. It also shows how it is derived from the Pythagorean theorem. http://mathispower4u.yolasite.com/
From playlist Using the Distance Formula / Midpoint Formula
How to determine the distance from a point to a line. The ideas involve projection of vectors. Free ebook https://bookboon.com/en/introduction-to-vectors-ebook (updated link) Test your understanding via a short quiz http://goo.gl/forms/wHGVJKuSvu
From playlist Introduction to Vectors
Determining the Distance Between a Plane and a Point
http://mathispower4u.yolasite.com/
From playlist Equations of Planes and Lines in Space
👉 Learn essential definitions of points, lines, and planes. A point defines a position in space. A line is a set of points. A line can be created by a minimum of two points. A plane is a flat surface made up of at least three points. A plane contains infinite number of lines. A ray is a li
From playlist Points Lines and Planes
👉 Learn essential definitions of points, lines, and planes. A point defines a position in space. A line is a set of points. A line can be created by a minimum of two points. A plane is a flat surface made up of at least three points. A plane contains infinite number of lines. A ray is a li
From playlist Points Lines and Planes
👉 Learn essential definitions of points, lines, and planes. A point defines a position in space. A line is a set of points. A line can be created by a minimum of two points. A plane is a flat surface made up of at least three points. A plane contains infinite number of lines. A ray is a li
From playlist Points Lines and Planes
What is a point a line and a plane
👉 Learn essential definitions of points, lines, and planes. A point defines a position in space. A line is a set of points. A line can be created by a minimum of two points. A plane is a flat surface made up of at least three points. A plane contains infinite number of lines. A ray is a li
From playlist Points Lines and Planes
Learn how to determine the reference angle of an angle in terms of pi
👉 Learn how to find the reference angle of a given angle. The reference angle is the acute angle formed by the terminal side of an angle and the x-axis. To find the reference angle, we determine the quadrant on which the given angle lies and use the reference angle formula for the quadrant
From playlist Find the Reference Angle
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
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
EstimatingRegressionCoefficients.1.EstimatingResidualVariance
This video is brought to you by the Quantitative Analysis Institute at Wellesley College. The material is best viewed as part of the online resources that organize the content and include questions for checking understanding: https://www.wellesley.edu/qai/onlineresources
From playlist Estimating Regression Coefficients
Point Estimation vs. Confidence Intervals in Election Polling Data (13-1)
Point estimates and confidence intervals work together to help us interpret the meaning of differences. Using an obscure example, we learn about point estimators and the margin of error. In election polling, when the point estimate (the difference between two polling percentages) is within
From playlist Estimating Intervals, Point Estimators, and Confidence Intervals (WK 13 - QBA 237)
Semiclassical Eigenfunction Estimates - Melissa Tacy
Semiclassical Eigenfunction Estimates - Melissa Tacy Institute for Advanced Study October 29, 2010 ANALYSIS/MATHEMATICAL PHYSICS SEMINAR Concentration phenomena for Laplacian eigenfunctions can be studied by obtaining estimates for their LpLp growth. By considering eigenfunctions as quasi
From playlist Mathematics
Estimation, Distances, and Smoothness (3Blue1Brown Summer of Math Exposition)
To make estimates in new situations, we typically draw upon similar experiences from memory. In this video, I try to explain the mathematics behind such reasoning. This is a submission to the 3blue1brown summer of math exposition, 2021. https://www.3blue1brown.com/blog/some1 Introduction
From playlist Summer of Math Exposition Youtube Videos
Spatial Values: Spatial Prediction
Spatial datasets consisting of a set of measured values at specific locations are becoming increasingly important. Examples include temperature, elevation, concentration of minerals, etc. We will preview upcoming Wolfram Language functionality to perform estimation of missing values in a r
From playlist Wolfram Technology Conference 2021
Gábor Lugosi: High-dimensional mean estimation - lecture 2
Recorded during the meeting "Machine learning and nonparametric statistics" the December 15, 2021 by the Centre International de Rencontres Mathématiques (Marseille, France) Filmmaker: Guillaume Hennenfent Find this video and other talks given by worldwide mathematicians on CIRM's Audio
From playlist Probability and Statistics
Giuseppe Mingione - 23 September 2016
Mingione, Giuseppe "Recent progresses in nonlinear potential theory"
From playlist A Mathematical Tribute to Ennio De Giorgi
Example: Determine the Distance Between Two Points
This video shows an example of determining the length of a segment on the coordinate plane by using the distance formula. Complete Video List: http://www.mathispower4u.yolasite.com or http://www.mathispower4u.wordpress.com
From playlist Using the Distance Formula / Midpoint Formula
Simple Linear Regression (Part E)
Regression Analysis by Dr. Soumen Maity,Department of Mathematics,IIT Kharagpur.For more details on NPTEL visit http://nptel.ac.in
From playlist IIT Kharagpur: Regression Analysis | CosmoLearning.org Mathematics