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Showing 1 to 9 of 9 for “"Bootstrap confidence interval"”.

  1. Finding a Better Confidence Interval for a Single Regression Changepoint Using Different Bootstrap Confidence Interval Procedures

    … but there is not much literature concerning confidence intervals for regression changepoints. The purpose of this paper is to find a better bootstrap confidence interval for a single regression changepoint. ("Better" confidence interval means having a minimum length and coverage probability …

    gsu Repository record for Finding a Better Confidence Interval for a Single Regression Changepoint Using Different Bootstrap Confidence Interval Procedures (opens in a new tab)

  2. The Interquartile Range: Theory and Estimation.

    … various continuous distributions. In addition, a bootstrap confidence interval for the population IQR will be evaluated.</p>

    etsu Repository record for The Interquartile Range: Theory and Estimation. (opens in a new tab)

  3. Using the EM Algorithm to Estimate the Difference in Dependent Proportions in a 2 x 2 Table with Missing Data.

    … I employ a resampling technique known as bootstrapping. The performance of the bootstrap standard error is evaluated for different sample sizes and different fractions of missing information. Finally, a 100(1-α)% bootstrap confidence interval is proposed and its coverage is evaluated …

    etsu Repository record for Using the EM Algorithm to Estimate the Difference in Dependent Proportions in a 2 x 2 Table with Missing Data. (opens in a new tab)

  4. Nonparametric statistical procedures for therapeutic clinical trials with survival endpoints

    … To implement the proposed tests, nonparametric bootstrap method is employed to approximate the distributions of the test statistics to construct the corresponding bootstrap confidence interval procedures. Monte-Carlo simulations are performed to investigate the actual type I error of the …

    queens Repository record for Nonparametric statistical procedures for therapeutic clinical trials with survival endpoints (opens in a new tab)

  5. Confidence estimation of the ratio of variances of two log-normal populations

    This study investigates asymptotic and bootstrap confidence intervals (CIs) for the ratio of variances of two independent log-normal distributions. Extensive simula-tions were conducted to evaluate the performance of these CIs under varying sample sizes (10 to 350) and variance ratios, with one …

    regina Repository record for Confidence estimation of the ratio of variances of two log-normal populations (opens in a new tab)

  6. Conformational analysis of antibody binding site using EDMA methods /

    … in three-loop assembly must be done. The EDMA-I bootstrap null hypothesis tests showed false positive results for the comparison of six samples of the isolated LI loop and true positive results for comparison of conformational samples of isolated LI loop and LI in three-loop assembly. The …

    brock Repository record for Conformational analysis of antibody binding site using EDMA methods / (opens in a new tab)

  7. Evaluation of Spatial Interpolation Techniques Built in the Geostatistical Analyst Using Indoor Radon Data for Ohio,USA

    … plots, quantile – quantile (QQ) plots and bootstrap 95% confidence interval estimates based on extreme-end concentrations (i.e., peak-end/low-end), and the mid-range concentrations of indoor air quality (IAQ) models are performed on the predicted data points to evaluate the best …

    ohiolink Repository record for Evaluation of Spatial Interpolation Techniques Built in the Geostatistical Analyst Using Indoor Radon Data for Ohio,USA (opens in a new tab)

  8. Application Of The Empirical Likelihood Method In Proportional Hazards Model

    … of censoring such as double censoring and partly interval-censoring in survival data makes model assessment difficult, and the existing tests for goodness-of-fit do not have direct extension to these complicated types of censored data. In this work, we use empirical likelihood (Owen, 1988) …

    ucf

  9. Estimation of Correlation Confidence Intervals via the Bootstrap: Non-Normal Distributions

    <p>Estimating confidence intervals (CIs) for the correlation has been a challenge. The challenge stems from the metamorphic nature of the sampling distribution of the correlation being bound by-1≤ρ≤1. The nonparametric nature of the bootstrap makes it a good option for estimating correlation CIs. …

    odu Repository record for Estimation of Correlation Confidence Intervals via the Bootstrap: Non-Normal Distributions (opens in a new tab)