Results 31 to 40 of about 607,854 (297)
Parametric Bootstrap Methods for Estimating Model Parameters of Non-homogeneous Gamma Process [PDF]
International Journal of Mathematical, Engineering and Management Sciences, 2018 Non-Homogeneous Gamma Process (NHGP) is characterized by an arbitrary trend function and a gamma renewal distribution. In this paper, we estimate the confidence intervals of model parameters of NHGP via two parametric bootstrap methods: simulation-based ...
Yasuhiro Saito, Tadashi Dohi
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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 +2 more
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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
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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 +1 more
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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
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Axioms, 2023 In this study, we introduce a novel estimation technique for assessing the reliability parameter R=P ...
Rashad M. EL-Sagheer +5 more
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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 +3 more
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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 +3 more
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Comparison of Parametric and Bootstrap Method in Bioequivalence Test [PDF]
The Korean Journal of Physiology and Pharmacology, 2009 The estimation of 90% parametric confidence intervals (CIs) of mean AUC and Cmax ratios in bioequivalence (BE) tests are based upon the assumption that formulation effects in log-transformed data are normally distributed. To compare the parametric CIs with those obtained from nonparametric methods we performed repeated estimation of bootstrap-resampled
Byung-Jin, Ahn, Dong-Seok, Yim
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, 1992 The bootstrap, extensively studied during the last decade, has become a powerful tool in different areas of Statistical Inference. In this work, we present the main ideas of bootstrap methodology in several contexts, citing the most relevant ...
Prada Sánchez, José Manuel +2 more
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