Statistical deviation and dispersion | Time series | Errors and residuals | Point estimation performance
In statistics, mean absolute error (MAE) is a measure of errors between paired observations expressing the same phenomenon. Examples of Y versus X include comparisons of predicted versus observed, subsequent time versus initial time, and one technique of measurement versus an alternative technique of measurement. MAE is calculated as the sum of absolute errors divided by the sample size: It is thus an arithmetic average of the absolute errors , where is the prediction and the true value. Note that alternative formulations may include relative frequencies as weight factors. The mean absolute error uses the same scale as the data being measured. This is known as a scale-dependent accuracy measure and therefore cannot be used to make comparisons between series using different scales. The mean absolute error is a common measure of forecast error in time series analysis, sometimes used in confusion with the more standard definition of mean absolute deviation. The same confusion exists more generally. (Wikipedia).
Math 101 091117 Introduction to Analysis 05 Absolute Value
Absolute value: definition. Notion of distance. Properties of the absolute value: proofs. Triangle inequality
From playlist Course 6: Introduction to Analysis (Fall 2017)
What is the definition of absolute value
http://www.freemathvideos.com In this video playlist you will learn how to solve and graph absolute value equations and inequalities. When working with absolute value equations and functions it is important to understand that the absolute value symbol represents the absolute distance from
From playlist Solve Absolute Value Equations
Evaluate the limit of an absolute value function by direct substitution
π Learn how to evaluate the limit of an absolute value function. The limit of a function as the input variable of the function tends to a number/value is the number/value which the function approaches at that time. The absolute value function is a function which only takes the positive val
From playlist Evaluate Limits of Absolute Value
How to evaluate the limit of a function by observing its graph
π Learn how to evaluate the limit of an absolute value function. The limit of a function as the input variable of the function tends to a number/value is the number/value which the function approaches at that time. The absolute value function is a function which only takes the positive val
From playlist Evaluate Limits of Absolute Value
Evaluate the limit for a value of a function
π Learn how to evaluate the limit of an absolute value function. The limit of a function as the input variable of the function tends to a number/value is the number/value which the function approaches at that time. The absolute value function is a function which only takes the positive val
From playlist Evaluate Limits of Absolute Value
Learn to evaluate the limit of the absolute value function
π Learn how to evaluate the limit of an absolute value function. The limit of a function as the input variable of the function tends to a number/value is the number/value which the function approaches at that time. The absolute value function is a function which only takes the positive val
From playlist Evaluate Limits of Absolute Value
Learn how to evaluate left and right hand limits of a function
π Learn how to evaluate the limit of an absolute value function. The limit of a function as the input variable of the function tends to a number/value is the number/value which the function approaches at that time. The absolute value function is a function which only takes the positive val
From playlist Evaluate Limits of Absolute Value
Basic Excel Business Analytics #54: Basic Forecasting Methods & Measures of Forecast Error
Download files: https://people.highline.edu/mgirvin/AllClasses/348/348/AllFilesBI348Analytics.htm Learn about some Basic Forecasting Methods: 1) (00 Intro to Time Series and Forecasting 2) (02:10) NaΓ―ve Method or Most Recent Method for Forecasting 3) (04:34) Forecast Error and Mean Foreca
From playlist Excel Business Analytics (Forecasting, Linear Programming, Simulation & more) Free Course at YouTube (75 Videos)
4. What's Significant in Laboratory Measurement? Error Analysis Lecture
MIT 5.310 Laboratory Chemistry, Fall 2019 Instructor: Sarah Hewett View the complete course: https://ocw.mit.edu/5-310F19 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63ZhyqhOGKbSBzcOovEbb6y In today's lecture, Dr. Hewett discusses what's significant in laboratory me
From playlist MIT 5.310 Laboratory Chemistry, Fall 2019
Coding Up a Linear Regression Algorithm From Scratch
Whether we learn Data Science through online courses, tutorials, or jump straight into a hands-on project-based approach, few of us take out the time to try and learn how some of our favorite libraries are built. All we know is that we can import the scikit-learn library, instantiate a Lin
From playlist Brief Introduction to Data Science
MATH2018 Lecture 1.3 Taylor Series and Error Estimation
The Taylor Series lets us find a polynomial approximation for a function of several variables. We use it to estimate the error in a function given small errors in the inputs.
From playlist MATH2018 Engineering Mathematics 2D
Linear regression (3): Normal equations
Closed form solution for mean squared error; normal equations; robustness and other losses
From playlist cs273a
Numerical Integration (OpenStax Calculus, Vol. 2, Section 3.6)
This video contains solutions to sample problems from OpenStax Calculus, Volume 2, Section 3.6: Numerical Integration. OpenStax Calculus Vol. 2: https://openstax.org/details/books/calculus-volume-2
From playlist Calculus II
Eva Darulova : Programming with numerical uncertainties
Abstract : Numerical software, common in scientific computing or embedded systems, inevitably uses an approximation of the real arithmetic in which most algorithms are designed. Finite-precision arithmetic, such as fixed-point or floating-point, is a common and efficient choice, but introd
From playlist Mathematical Aspects of Computer Science
Relative Error and Magnitude - M10
Compare absolute error, relative error and magnitude
From playlist Arithmetic and Pre-Algebra: Ratio and Proportion
Determine Absolute Error and Percent Error
This video explains how to determine absolute error and percentage error. http://mathispower4u.com
From playlist Statistics: Describing Data
Using parent graphs to understand the left and right hand limits
π Learn how to evaluate the limit of an absolute value function. The limit of a function as the input variable of the function tends to a number/value is the number/value which the function approaches at that time. The absolute value function is a function which only takes the positive val
From playlist Evaluate Limits of Absolute Value
Maximum Error in Trapezoidal Rule & Simpson's Rule Calculus 1 AB READ DESCRIPTION
I introduce the formulas for calculating the maximum expected error estimating a definite integral with the Trapezoidal Rule and Simpson's Rule. Finish by working through four examples. NOTE: There is an error calculating the maximum error with Simpson's Rule. At 9:36 I have 120/(1+3)^6 i
From playlist Calculus