The interactions between temperature and relative humidity are the main focus of this article.
These two meteorological observations are of great significance due to their direct effects on …

Progressive censoring is essential for researchers in industry as a mean to remove subjects
before the final termination point in order to save time and reduce cost. Recently, kernel …

The probability density estimation concept in statistics has far-reaching effects in other fields
of studies because most actions can be expressed in numerical form, which must be …

Ranked set sampling (RSS) is a data collection scheme that usually yields more efficient
estimators when a measurement of the variable of interest is difficult or expensive to obtain …

In the estimation of a probability density function (PDF) by kernel method, two inherent
problems are the choice of sampling methods and the selection of a bandwidth. In this …

In many statistical analyses, the observed data are often generated through simple random
sampling (SRS). One of the advantages of the SRS method is its ease of use. Unlike more …

Federated learning is an emerging field within machine learning that enables learning on
distributed data. The concept is to train models locally on edge nodes, and globally …

In the estimation of a probability density function (PDF) by kernel method, two inherent
problems are the choice of sampling methods and the selection of a bandwidth. In this …

In the literature, the properties and the application of mode estimation is considered under
simple random sampling and ranked set sampling (RSS). We investigate some of the …

The most widely used approach for reliability estimation is the well-known stress-strength
model, θ= P (X< Y), where X and Y are random variables. In this model, the reliability, θ, of …