Results 21 to 30 of about 35,984 (255)

AIDS versus the Rotterdam Demand System: A Cox Test with Parametric Bootstrap

Journal of Agricultural and Resource Economics, 2002
A Cox test with parametric bootstrap is developed to select between the linearized version of the First-Difference Almost Ideal Demand System (FDAIDS) and the Rotterdam model.
Alix Dameus, Francisca G.-C. Richter, B. Wade Brorsen, Kullapapruk Piewthongngam Sukhdial   +3 more
doaj   +1 more source

Confidence Intervals Based on the Difference of Medians for Independent Log-Normal Distributions

Mathematics, 2022
In this paper, we study the inferences of the difference of medians for two independent log-normal distributions. These methods include traditional methods such as the parametric bootstrap approach, the normal approximation approach, the method of ...
Weizhong Tian, Yaoting Yang, Tingting Tong   +2 more
doaj   +1 more source

Parametric bootstrap under model mis-specification [PDF]

Computational Statistics & Data Analysis, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
H. Y. Kevin Lu, G. Alastair Young
openaire   +2 more sources

A bootstrap approach to evaluating the performance of Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC) in selection of an asymmetric price relationship [PDF]

Journal of Agricultural Sciences (Belgrade), 2012
This study addresses the problem of model selection in asymmetric price transmission models by combining the use of bootstrap methods with information theoretic selection criteria.
Acquah Henry de-Graft
doaj   +1 more source

Computationally Efficient Goodness-of-Fit Tests for the Error Distribution in Nonparametric Regression

Revstat Statistical Journal, 2018
Several procedures have been proposed for testing goodness-of-fit to the error distribution in nonparametric regression models. The null distribution of the associated test statistics is usually approximated by means of a parametric bootstrap which ...
G.I. Rivas-Martínez , Maria Dolores Jiménez-Gamero   +1 more
doaj   +1 more source

The PIT-trap-A "model-free" bootstrap procedure for inference about regression models with discrete, multivariate responses. [PDF]

PLoS ONE, 2017
Bootstrap methods are widely used in statistics, and bootstrapping of residuals can be especially useful in the regression context. However, difficulties are encountered extending residual resampling to regression settings where residuals are not ...
David I Warton, Loïc Thibaut, Yi Alice Wang   +2 more
doaj   +1 more source

Bayesian Parametric Bootstrap for Models with Intractable Likelihoods [PDF]

Bayesian Analysis, 2019
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Vo, Brenda, Drovandi, Chris, Pettitt, Tony   +2 more
openaire   +4 more sources

Analysis of the Stress–Strength Model Using Uniform Truncated Negative Binomial Distribution under Progressive Type-II Censoring

Axioms, 2023
In this study, we introduce a novel estimation technique for assessing the reliability parameter R=P ...
Rashad M. EL-Sagheer, Mohamed S. Eliwa, Mahmoud El-Morshedy, Laila A. Al-Essa, Afrah Al-Bossly, Amel Abd-El-Monem   +5 more
doaj   +1 more source

A Map of the Poor or a Poor Map?

Mathematics, 2021
This paper evaluates the performance of different small area estimation methods using model and design-based simulation experiments. Design-based simulation experiments are carried out using the Mexican Intra Censal survey as a census of roughly 3.9 ...
Paul Corral, Kristen Himelein, Kevin McGee, Isabel Molina   +3 more
doaj   +1 more source

A Parametric Bootstrap Approach for a One-Way Error Component Regression Model with Measurement Errors

Mathematics, 2023
In this paper, a one-way error component regression model with measurement errors is considered. The unknown parameter vector is estimated by using the bias-corrected method, and its corresponding asymptotic properties are also developed.
Lili Yue, Jianhong Shi, Jingxuan Luo, Jinguan Lin   +3 more
doaj   +1 more source