A Note on the Sum of Non-Identically Distributed Doubly Truncated Normal Distributions

08/18/2020
by   Hao Chen, et al.
0

It is proved that the sum of n independent but non-identically distributed doubly truncated Normal distributions converges in distribution to a Normal distribution. It is also shown how the result can be applied in estimating a constrained mixed effects model.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
04/12/2019

Independence Properties of the Truncated Multivariate Elliptical Distributions

Truncated multivariate distributions arise extensively in econometric mo...
research
05/23/2019

Randomized Reference Classifier with Gaussian Distribution and Soft Confusion Matrix Applied to the Improving Weak Classifiers

In this paper, an issue of building the RRC model using probability dist...
research
12/06/2021

Hypothesis Test of a Truncated Sample Mean for the Extremely Heavy-Tailed Distributions

This article deals with the hypothesis test for the extremely heavy-tail...
research
12/10/2021

A note on the normality assumption for modeling constraint in cognitive individual differences

To answer the question of "Does everybody...?" in the context of perform...
research
04/20/2023

On the non-identifiability of unified skew-normal distributions

In this note, we investigate the non-identifiability of the multivariate...
research
09/13/2017

Generating OWA weights using truncated distributions

Ordered weighted averaging (OWA) operators have been widely used in deci...

Please sign up or login with your details

Forgot password? Click here to reset