On finding confidence intervals for the inverse regression method of linear calibration
In the linear calibration problem one estimates the independent variable x in a regression situation for a measured value of the dependent variable y. The Classical estimator is obtained by expressing the linear model as y<sub>i</sub> = α + βx<sub>i</sub> + ε<sub>i</...
Main Author: | Frazier, Larry Thomas |
---|---|
Other Authors: | Statistics |
Format: | Others |
Language: | en |
Published: |
Virginia Polytechnic Institute and State University
2019
|
Subjects: | |
Online Access: | http://hdl.handle.net/10919/94529 |
Similar Items
-
Invariant estimation with application to linear models
by: Younger, Mary Sue
Published: (2017) -
The design of suboptimal linear regulators using reduced order aggregated models
by: Joyner, Luther Lee
Published: (2019) -
The behavior of displaced gray squirrels
by: Brady, John Thomas
Published: (2017) -
A sensitivity study on modeling hydrologic effects due to urbanization
by: Grandle, George Franklin
Published: (2016) -
Analytical investigation of the tilt rotor whirl instability
by: Scheiman, James
Published: (2021)