Results 211 to 220 of about 35,984 (255)
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Parametric and nonparametric bootstrap methods for meta-analysis
Behavior Research Methods, 2005In a meta-analysis, the unknown parameters are often estimated using maximum likelihood, and inferences are based on asymptotic theory. It is assumed that, conditional on study characteristics included in the model, the between-study distribution and the sampling distributions of the effect sizes are normal.
Patrick Onghena +2 more
exaly +3 more sources
On Parametric Bootstrapping and Bayesian Prediction
Scandinavian Journal of Statistics, 2004Abstract. We investigate bootstrapping and Bayesian methods for prediction. The observations and the variable being predicted are distributed according to different distributions. Many important problems can be formulated in this setting. This type of prediction problem appears when we deal with a Poisson process.
Fushiki, Tadayoshi +2 more
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A parametric bootstrap approach for the equality of coefficients of variation
Computational Statistics, 2013zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mohammad Reza Kazemi, Ali Akbar Jafari
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Bootstrapping Parametric Models of Mortality
Scandinavian Actuarial Journal, 2004We consider a general problem of modeling a mortality law of a population of failing units with some parametric function. In this setting we define a mortality table of crude rates as a statistical estimator with multinomial distribution and show its consistency as well as asymptotic normality.
Grzegorz A. Rempala +1 more
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Parametric bootstrapping with nuisance parameters
Statistics & Probability Letters, 2005zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Young, GA, Lee, SMS
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Non-parametric bootstrap recycling
Statistics and Computing, 2002The double bootstrap provides diagnostics for bootstrap calculations and, if need be, appropriate adjustments. The amount of computation involved is usually considerable, and recycling provides a less computer intensive alternative. Recycling consists of using repeatedly the same samples drawn from a recycling distribution G for estimation under each ...
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Assessing model mimicry using the parametric bootstrap
Journal of Mathematical Psychology, 2004zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wagenmakers, E.J. +3 more
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Copula model evaluation based on parametric bootstrap
Computational Statistics & Data Analysis, 2008zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Aristidis K. Nikoloulopoulos +1 more
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