Improved Approximations of Hedges' g*

03/14/2020
by   Xiaohuan Xue, et al.
0

Hedges' unbiased estimator g* has been broadly used in statistics. We propose a sequence of polynomials to better approximate the multiplicative correction factor of g* by incorporating analytic estimations to the ratio of gamma functions.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
06/28/2021

Certified Robustness via Randomized Smoothing over Multiplicative Parameters

We propose a novel approach of randomized smoothing over multiplicative ...
research
04/11/2013

Improvement studies on neutron-gamma separation in HPGe detectors by using neural networks

The neutrons emitted in heavy-ion fusion-evaporation (HIFE) reactions to...
research
02/03/2018

Distance Metrics for Gamma Distributions

Here I present the analytic form of two common distance metrics, the sym...
research
03/26/2000

Differential Invariants under Gamma Correction

This paper presents invariants under gamma correction and similarity tra...
research
05/22/2022

On point estimators for Gamma and Beta distributions

Let X_1,…,X_n be a random sample from the Gamma distribution with densit...
research
12/20/2021

Adapting the Hill estimator to distributed inference: dealing with the bias

The distributed Hill estimator is a divide-and-conquer algorithm for est...
research
10/23/2020

Unbiased Estimation Equation under f-Separable Bregman Distortion Measures

We discuss unbiased estimation equations in a class of objective functio...

Please sign up or login with your details

Forgot password? Click here to reset