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Forecasting stock prices using hybrid non-stationary time series model with ERNN

期刊: COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 2023; 52 (3)

In recent years, financial market dynamics forecasting has been a focus of economic research. To predict the price indices of stock markets, we develo......

Bounded unit root processes with non-stationary volatility

期刊: COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 2023; 52 (4)

This article concerns the unit root testing under nonstandard conditions for a time series process, such as having an innovation process with non-stat......

Variable selection in the single-index quantile regression model with high-dimensional covariates

期刊: COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 2023; 52 (3)

We study the effects of high-dimensional covariates in the single-index quantile regression model. An improved version of an estimation algorithm is p......

Generalized Birnbaum-Saunders kernel for hazard rate function estimation

期刊: COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 2023; 52 (4)

This paper proposes the nonparametric kernel method for the hazard rate (HR) function estimation in the context of positively skewed data. The class o......

The ruin time for 3-player gambler's problem: an approximate formula

期刊: COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 2023; 52 (4)

A careful review of the literature ascertains that the problem of calculating the expected ruin time for the asymmetric 3-player game involving arbitr......

Assessing the variability of posterior probabilities in Gaussian model-based clustering

期刊: COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 2023; 52 (5)

We propose a variant of the bootstrap to assess the variability of posterior probabilities arising from Gaussian model-based clustering. The bootstrap......

An efficient nonparametric double progressive mean chart for monitoring of the process location

期刊: COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 2023; 52 (6)

A control chart has become a choice of quality practitioners for monitoring the output of industrial and production processes. It is a common practice......

Identification of parameters of Poisson distributions by the extreme order statistics

期刊: COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 2023; 52 (7)

Let Poisson variables X-1, ..., X-m be independent and Y-1, ..., Y-n be also independent such that each X-i similar to P(lambda(i)), Y-J similar to P(......

Alternative procedures in dependent counting INAR process with application on COVID-19

期刊: COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 2023; 52 (11)

Alternative estimation and forecasting procedures for the integer-valued autoregressive process with dependent geometric counting series are investiga......

D-optimal designs for linear mixed model with random effects of Dirichlet process

期刊: COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 2023; 52 (11)

This paper considers D-optimal designs for linear mixed models involving random effects with unknown distributions. From Bayesian point of view, the D......

Spline estimation of partially linear regression models for time series with correlated errors

期刊: COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 2023; 52 (11)

Partially linear regression smoothing is a useful technique for modeling time series. Using polynomial splines and a weighted least squares method, th......

Partially balanced t-designs

期刊: COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 2023; 52 (12)

Incomplete block designs bring out useful information from agricultural experimentation with high precision when there is a crunch in resources in ter......

Bayesian Poisson common factor model with overdispersion for mortality forecasting in multiple populations

期刊: COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 2023; ()

This article presents a Poisson common factor model with an overdispersion factor to predict some multiple populations' mortality rates. We use Bayesi......

A new Liu-type estimator for the gamma regression model

期刊: COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 2023; ()

In many real-world problems, there are situations where the dependent variable may have a Gamma distribution. The Gamma Regression Models (GRMs) are p......

Kernel density estimation using additive randomized response technique (RRT) models

期刊: COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 2023; ()

In 2002 Ahmad (Ahmad 2002) introduced the kernel density estimation of the density curve of a sensitive variable based on multiplicative RRT models an......

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