Second Order Expansions for Sample Median with Random Sample Size

05/19/2019
by   Gerd Christoph, et al.
0

In practice, we often encounter situations where a sample size is not defined in advance and can be a random value. The randomness of the sample size crucially changes the asymptotic properties of the underlying statistic. In the present paper second order Chebyshev--Edgeworth and Cornish--Fisher expansions based of Student's t- and Laplace distributions and their quantiles are derived for sample median with random sample size of a special kind.

READ FULL TEXT
research
04/08/2019

On a class of distributions generated by stochastic mixture of the extreme order statistics of a sample of size two

This paper considers a family of distributions constructed by a stochast...
research
07/23/2017

Asymptotic Normality of the Median Heuristic

The median heuristic is a popular tool to set the bandwidth of radial ba...
research
08/14/2020

How little data do we need for patient-level prediction?

Objective: Provide guidance on sample size considerations for developing...
research
12/15/2015

Towards Evaluation of Cultural-scale Claims in Light of Topic Model Sampling Effects

Cultural-scale models of full text documents are prone to over-interpret...
research
07/21/2023

The Population Resemblance Statistic: A Chi-Square Measure of Fit for Banking

The Population Stability Index (PSI) is a widely used measure in credit ...
research
12/18/2021

Improving upon the effective sample size based on Godambe information for block likelihood inference

We consider the effective sample size, based on Godambe information, for...
research
08/02/2022

Estimating the prevalence of anemia rates among children under five in Peruvian districts with a small sample size

In this paper we attempt to answer the following question: “Is it possib...

Please sign up or login with your details

Forgot password? Click here to reset