Pages that link to "Item:Q4253299"

The following pages link to An algorithm for generating correlated random variables in a class of infinitely divisible distributions (Q4253299):

Displaying 19 items.

• Local influence in estimating equations (Q901573) (← links)
• An algorithm for generating positively correlated beta-distributed random variables with known marginal distributions and a specified correlation (Q956936) (← links)
• Construction of random vectors of heterogeneous component variables under specified correlation structures (Q956965) (← links)
• A matching algorithm for generation of statistically dependent random variables with arbitrary marginals (Q1011175) (← links)
• Generalized additive partial linear models for analyzing correlated data (Q1799814) (← links)
• Working correlation structure selection in GEE analysis (Q2010805) (← links)
• Using the sum-of-uniforms method to generate correlated random variates with certain marginal distribution (Q2484355) (← links)
• The Combined Model: A Tool for Simulating Correlated Counts with Overdispersion (Q2821015) (← links)
• Simulating dependent discrete data (Q2862363) (← links)
• Competing regression models for longitudinal data (Q2896327) (← links)
• A Simple Distribution-Free Algorithm for Generating Simulated High-Dimensional Correlated Data with an Autoregressive Structure (Q2905721) (← links)
• Influence measures based on the volume of confidence ellipsoids for GEE (Q2912012) (← links)
• Outlier detection method in GEEs (Q2922190) (← links)
• Analysis of GEE with a mixture working correlation matrix for diverging number of covariates (Q3390583) (← links)
• Modelling count data via copulas (Q4987237) (← links)
• A simulation study on the hybrid nature of Tango's index (Q5128896) (← links)
• GEEs for repeated categorical responses based on generalized residuals (Q5219233) (← links)
• Diagnostic techniques in generalized estimating equations (Q5438725) (← links)
• Wald one-sided test using generalized estimating equations approach (Q5941336) (← links)