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Showing 1 to 5 of 5 for “"Two sample problem"”.

  1. Statistical inference for dependent data

    … downscaling, we consider the change point problem and the two sample problem for temporally dependent functional data. Specifically, in Chapter 1, we develop a self-normalization based test to test the structural stability of temporally dependent functional observations. We propose new …

    uiuc Repository record for Statistical inference for dependent data (opens in a new tab)

  2. Topics In Time Series Analysis And Forecasting

    … the area of model selection, finite and large sample properties of the commonly used selection criteria, Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC), are discussed. In the finite case, the study is limited to the two sample problem. The exact probability of …

    uwo Repository record for Topics In Time Series Analysis And Forecasting (opens in a new tab)

  3. Approximation of Quantiles of Rank Test Statistics Using Almost Sure Limit Theorems

    <p>There are many problems in statistics where the analysis is based on asymptotic distributions. In some cases, the asymptotic distribution is in an open form or is intractable. One possible solution is the logarithmic quantile estimation (LQE) method introduced by Thangavelu (2005) for rank tests …

    odu Repository record for Approximation of Quantiles of Rank Test Statistics Using Almost Sure Limit Theorems (opens in a new tab)

  4. Multivariate nichemetrics

    … model is closely connected to the multivariate two-sample problem. Important to the understanding of species interactions in a community is the measurement of the degree to which the niches of two species overlap, or to measure the similarity between the resource use distributions of the …

    vt Repository record for Multivariate nichemetrics (opens in a new tab)

  5. Advances in Bayesian Hierarchical Modeling with Tree-based Methods

    … in Bayesian hierarchical modeling. Our first two methods are designed specifically for the microbiome sequencing data, which consists of high dimensional counts with a complex, domain-specific covariate structure and exhibits large cross-sample variations. These features limit the performance …

    duke Repository record for Advances in Bayesian Hierarchical Modeling with Tree-based Methods (opens in a new tab)