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Vaccine Efficacy Studies
This chapter focuses on the analysis of vaccine efficacy data. Special attention is given to the analysis of person-time or time-to-infection data....
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Optimizing Robust Shape Parameter: Improved Methodologies for Birnbaum–Saunders Distribution
This study strives to improve the estimation of robust estimator when dealing with a univariate Birnbaum–Saunders distribution’s shape parameter...
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A Modified Neighborhood Hypothesis Test for Population Mean in Functional Data
When dealing with very high-dimensional and functional data, rank deficiency of sample covariance matrix often complicates the tests for population...
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Logical Inference on Treatment Efficacy When Subgroups Exist
With rapid advances in understanding of human diseases, the paradigm of medicine shifts from “one-fits-all” to targeted therapies. In targeted...
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Least squares estimation for a class of uncertain Vasicek model and its application to interest rates
This paper addresses statistical inference in uncertain differential equations, focusing on parameter estimation for a class of uncertain Vasicek...
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Large-Sample Optimality
In this chapter, some asymptotic optimalityAsymptotic optimality theory of hypothesis testing is developed. We consider testing one sequence of...
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Likelihood inference for unified transformation cure model with interval censored data
In this paper, we extend the unified class of Box–Cox transformation (BCT) cure rate models to accommodate interval-censored data. The probability of...
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Comparing Treatment Effects for the AB : BA Crossover Design with Continuous Responses: An Alternative Nonparametric Approach
This work focuses on the nonparametric procedures which are devised as an alternative to analyse the repeated measurements arising in the basic...
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Non-parametric adaptive bandwidth selection for kernel estimators of spatial intensity functions
We introduce a new fully non-parametric two-step adaptive bandwidth selection method for kernel estimators of spatial point process intensity...
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Confident Statistical Inference with Multiple Outcomes, Subgroups, and Other Issues of Multiplicity
This chapter starts with a thorough discussion of different multiple comparison error rates, including weak and strong control for multiple tests and...
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A weighted composite log-likelihood approach to parametric estimation of the extreme quantiles of a distribution
Extreme value theory motivates estimating extreme upper quantiles of a distribution by selecting some threshold, discarding those observations below...
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A robust factor analysis model based on the canonical fundamental skew-t distribution
The traditional factor analysis rested on the assumption of multivariate normality has been extended by considering the restricted multivariate skew- t ...
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Some measures of kurtosis and their inference on large datasets
This paper deals with the estimation of kurtosis on large datasets. It aims at overcoming two frequent limitations in applications: first, Pearson's...
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A Nonparametric Two-Sample Test for Scale Using Linear Combination of Quadratic and Linear Function of Placements
We propose a distribution-free test for the nonparametric two-sample scale problem. We discuss the problem of testing the homogeneity of two...
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Comparison of Two Groups and Test for Non-Inferiority
In situations, where inclusion of a placebo arm is not appropriate, the experimental treatment has to be compared with a therapy for which efficacy...
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Adaptive bi-level variable selection for multivariate failure time model with a diverging number of covariates
In this study we propose an adaptive bi-level variable selection method to analyze multivariate failure time data. In the regression setting, we...
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Finite mixtures of mean-parameterized Conway–Maxwell–Poisson models
For modeling count data, the Conway–Maxwell–Poisson (CMP) distribution is a popular generalization of the Poisson distribution due to its ability to...
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Inference for New Environmental Contours Using Extreme Value Analysis
Environmental contours are often used in engineering applications to describe risky combinations of variables according to some definition of an...
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A Theoretical Analysis of the Peaking Phenomenon in Classification
In this work, we analytically study the peaking phenomenon in the context of linear discriminant analysis in the multivariate Gaussian model under...
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Generalized Pairwise Comparisons for Prioritized Outcomes
The Wilcoxon-Mann-Whitney U-statistic can be extended to perform generalized pairwise comparisons between two groups of observations. The...