Assignment: Least squares polynomials Assignment: Least squares polynomials
Assignment: Least squares polynomials
Assignment: Least squares polynomials
Find the least squares polynomials of degree 1 for the data in the following table. Compute the error E. Use MATLAB. (Submitted in Assignment 8). Do not submit again. Only show values of Pxi.
Permalink: https://collepals.com/assignment-least…ares-polynomials/
xi 1.0 1.1 1.3 1.5 1.9 2.1
yi 1.84 1.96 2.21 2.45 2.94 3.18
What did you notice when you compare the two graphs (xi, yi )and (xi, Pxi)? why?
In mathematical statistics, polynomial least squares comprises a broad range of statistical methods for estimating an underlying polynomial that describes observations. These methods include polynomial regression, curve fitting, linear regression, least squares, ordinary least squares, simple linear regression, linear least squares, approximation theory and method of moments. Polynomial least squares has applications in radar trackers, estimation theory, signal processing, statistics, and econometrics.
Two common applications of polynomial least squares methods are generating a low-degree polynomial that approximates a complicated function and estimating an assumed underlying polynomial from corrupted (also known as “noisy”) observations. The former is commonly used in statistics and econometrics to fit a scatter plot with a first degree polynomial (that is, a linear expression).[1][2][3] The latter is commonly used in target tracking in the form of Kalman filtering, which is effectively a recursive implementation of polynomial least squares.[4][5][6][7] Estimating an assumed underlying deterministic polynomial can be used in econometrics as well.[8] In effect, both applications produce average curves as generalizations of the common average of a set of numbers, which is equivalent to zero degree polynomial least squares.[1][2][9]
In the above applications, the term “approximate” is used when no statistical measurement or observation errors are assumed, as when fitting a scatter plot. The term “estimate”, derived from statistical estimation theory, is used when assuming that measurements or observations of a polynomial are corrupted.
Collepals.com Plagiarism Free Papers
Are you looking for custom essay writing service or even dissertation writing services? Just request for our write my paper service, and we'll match you with the best essay writer in your subject! With an exceptional team of professional academic experts in a wide range of subjects, we can guarantee you an unrivaled quality of custom-written papers.
Get ZERO PLAGIARISM, HUMAN WRITTEN ESSAYS
Why Hire Collepals.com writers to do your paper?
Quality- We are experienced and have access to ample research materials.
We write plagiarism Free Content
Confidential- We never share or sell your personal information to third parties.
Support-Chat with us today! We are always waiting to answer all your questions.
