'Linear estimator' diaporamas de présentation

Localization with a Nonlinear, Noninvertible Sensor Mapping

Localization with a Nonlinear, Noninvertible Sensor Mapping. Aaron Becker 237a Everitt Lab 11/4/2008. Problem statement System model Sensor model State estimator Results. Overview. Related Work. Localization via triangulation

807 views • 65 slides

Ordinary Least-Squares

1.04k views • 56 slides

Simple Linear Regression

Simple Linear Regression. Lecture XXVIII. Overview. Most of the material for this lecture is from George Casella and Roger L. Berger Statistical Inference (Belmont, California: Duxbury Press, 1990) Chapter 12, pp. 554-577.

527 views • 35 slides

N= 10 Observations. Model Var( X)= 0.12 Var( u )=0.25

Baseline Case. N= 10 Observations. Model Var( X)= 0.12 Var( u )=0.25 . Low Var( u ). N= 10 Observations. Model Var( X)= 0.12 Var( u )=0.09 . Large Sample Size. N= 20 Observations. Model Var( X)= 0.12 Var( u )=0.25 . Precision and Standard Errors.

283 views • 15 slides