query: Number of bootstrap samples to construct confidence interval in mixed models
positive_passages.docid: 26779
positive_passages.text: Rule of thumb for number of bootstrap samples
negative_passages.docid: 133872
negative_passages.text: R - Data Simulation with Multiple Random Slopes
negative_passages.docid: 138454
negative_passages.text: Determining sample size for ML algorithm validation
negative_passages.docid: 101503
negative_passages.text: Mixed Effects Model with Nesting
negative_passages.docid: 94439
negative_passages.text: How can I plot data with confidence intervals?
negative_passages.docid: 89077
negative_passages.text: Bootstrapped confidence intervals: different values at every computation?
negative_passages.docid: 89241
negative_passages.text: Bootstrap sample with size greater than the original sample
negative_passages.docid: 66574
negative_passages.text: Comparison between bootstrap percentiles confidence interval and BCa confidence interval?
negative_passages.docid: 26820
negative_passages.text: Does it make sense to compute confidence intervals and to test hypotheses when data from whole population is available?
negative_passages.docid: 64070
negative_passages.text: sample space and observational units
negative_passages.docid: 87472
negative_passages.text: Calculating ratio of sample data used for model fitting/training and validation
negative_passages.docid: 57247
negative_passages.text: Finding the confidence level and number of successes?
negative_passages.docid: 64175
negative_passages.text: How to estimate confidence level for SVM or Random Forest?
negative_passages.docid: 67139
negative_passages.text: Prediction interval for lmer() mixed effects model in R
negative_passages.docid: 42132
negative_passages.text: 100% confidence interval for mean
negative_passages.docid: 68257
negative_passages.text: Computing p-value using bootstrap with R
negative_passages.docid: 49381
negative_passages.text: Simulation of logistic regression power analysis - designed experiments