Journal: Statistica Neerlandica

Found 89 papers in total
A Skew-normal copula-driven GLMM
A Skew-normal copula-driven GLMM
2016,
This paper presents a method for fitting a copula‐driven generalized linear...
Statistical inference on restricted partial linear regression models with partial distortion measurement errors
Statistical inference on restricted partial linear regression models with partial distortion measurement errors
2016,
We consider the estimation and hypothesis testing problems for the partial linear...
Markov switching quantile autoregression
Markov switching quantile autoregression
2016,
This paper considers the location‐scale quantile autoregression in which the...
Asymptotics and smoothing parameter selection for penalized spline regression with various loss functions
Asymptotics and smoothing parameter selection for penalized spline regression with various loss functions
2016,
Penalized splines are used in various types of regression analyses, including...
On solving bias-corrected non-linear estimation equations with an application to the dynamic linear model
On solving bias-corrected non-linear estimation equations with an application to the dynamic linear model
2016,
In a seminal paper, Mak, Journal of the Royal Statistical Society B, 55, 1993, 945,...
Spatial clustering of time series via mixture of autoregressions models and Markov random fields
Spatial clustering of time series via mixture of autoregressions models and Markov random fields
2016,
Time series data arise in many medical and biological imaging scenarios. In such...
Spline regression for hazard rate estimation when data are censored and measured with error
Spline regression for hazard rate estimation when data are censored and measured with error
2017,
In this paper, we study an estimation problem where the variables of interest are...
Diagnostic analysis for a vector autoregressive model under Student's t-distributions
Diagnostic analysis for a vector autoregressive model under Student's t-distributions
2017,
In this paper, we use the local influence method to study a vector autoregressive...
Bayesian approach to LR assessment in case of rare type match
Bayesian approach to LR assessment in case of rare type match
2017,
The likelihood ratio (LR) is largely used to evaluate the relative weight of forensic...
Non-parametric regression in clustered multistate current status data with informative cluster size
Non-parametric regression in clustered multistate current status data with informative cluster size
2017,
Datasets examining periodontal disease records current (disease) status information of...
Penalty and related estimation strategies in the spatial error model
Penalty and related estimation strategies in the spatial error model
2017,
Spatial autoregressive models are powerful tools in the analysis of data sets from...
Smooth estimation of a monotone hazard and a monotone density under random censoring
Smooth estimation of a monotone hazard and a monotone density under random censoring
2017,
We consider kernel smoothed Grenander‐type estimators for a monotone hazard...
On new variance approximations for linear models with inequality constraints
On new variance approximations for linear models with inequality constraints
2016,
In this paper, we examine the estimation of linear models subject to inequality...
Local influence analysis for Poisson autoregression with an application to stock transaction data
Local influence analysis for Poisson autoregression with an application to stock transaction data
2016,
In statistical diagnostics and sensitivity analysis, the local influence method plays...
Cusums for tracking arbitrary functionals
Cusums for tracking arbitrary functionals
2016,
Cusum charts are widely used for detecting deviations of a process about a target...
An application of the generalized Poisson difference distribution to the Bayesian modelling of football scores
An application of the generalized Poisson difference distribution to the Bayesian modelling of football scores
2016,
The analysis of sports data, in particular football match outcomes, has always...
Poisson‐geometric INAR(1) process for modeling count time series with overdispersion
Poisson‐geometric INAR(1) process for modeling count time series with overdispersion
2016,
In this paper, we propose a new first‐order non‐negative...
Combining homogeneous groups of preclassified observations with application to international trade
Combining homogeneous groups of preclassified observations with application to international trade
2016,
This article proposes three methods for merging homogeneous clusters of observations...
Beta spatial linear mixed model with variable dispersion using Monte Carlo maximum likelihood
Beta spatial linear mixed model with variable dispersion using Monte Carlo maximum likelihood
2016,
We propose a beta spatial linear mixed model with variable dispersion using Monte...
Comparison of Cramer‐Rao lower bounds of variances for at least equal protection of respondents
Comparison of Cramer‐Rao lower bounds of variances for at least equal protection of respondents
2016,
In this paper, a new randomized response model is proposed, which is shown to have a...
Coherent forecasting for count time series using Box‐Jenkins's AR(p) model
Coherent forecasting for count time series using Box‐Jenkins's AR(p) model
2016,
During the last three decades, integer‐valued autoregressive process of order p...
Finite mixtures of censored Poisson regression models
Finite mixtures of censored Poisson regression models
2016,
While right‐censored data are very common in survival analysis, they may also...
D-optimal designs for a continuous predictor in longitudinal trials with discrete-time survival endpoints
D-optimal designs for a continuous predictor in longitudinal trials with discrete-time survival endpoints
2016,
In designing an experiment with one single, continuous predictor, the questions are...
Copula Gaussian graphical models with penalized ascent Monte Carlo EM algorithm
Copula Gaussian graphical models with penalized ascent Monte Carlo EM algorithm
2015,
Typical data that arise from surveys, experiments, and observational studies include...
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