Empirical likelihood provides inferences whose validity does not depend on specifying a
parametric model for the data. Because it uses a likelihood, the method has certain inherent …

This volume examines modern techniques and research problems in the analysis of lifetime
data analysis. This area of statistics deals with time-to-event data which is complicated not …

This book treats the latest developments in the theory of order-restricted inference, with
special attention to nonparametric methods and algorithmic aspects. Among the topics …

We consider estimation in a particular semiparametric regression model for the mean of a
counting process with “panel count” data. The basic model assumption is that the conditional …

We consider the problem of nonparametric regression under shape constraints. The main
examples include isotonic regression (with respect to any partial order), unimodal/convex …

Time‐to‐pregnancy (TTP) is the duration from the time a couple starts trying to become
pregnant until they succeed. It is considered one of the most direct methods to measure …

Interval-Censored Time-to-Event Data: Methods and Applications collects the most recent
techniques, models, and computational tools for interval-censored time-to-event data. Top …

Between the two dominant schools of thought in statistics, namely, Bayesian and
classical/frequentist, a main difference is that the former is grounded in the mathematically …

Objectives: Acute compartment syndrome (ACS) is a limb-threatening condition often first
diagnosed by emergency physicians. Little is known about the rapidity with which …

A new design for estimating the distribution of time to pregnancy is proposed and
investigated. The design is based on recording current durations in a cross‐sectional …