Let (X,Y ) be a random vector, where Y denotes the variable of interest possibly subject to random right censoring, and X is a covariate. We construct confidence intervals and bands for the conditional survival and quantile function of Y given X using a nonparametric likelihood ratio approach. This approach was introduced by Thomas and Grunkemeier (1975), who estimated confidence intervals of s...

Four methods for compression ratio estimation of an engine from cylinder pressure traces are described and evaluated for both motored and fired cycles. The first three methods rely upon a model of polytropic compression for the cylinder pressure, and it is shown that they give a good estimate of the compression ratio for simulated cycles at low compression ratios. For high compression ratios, t...

Continuous aggregation queries over dynamic data are used for real time decision making and timely business intelligence. In this paper we consider queries where a client wants to be notified if the ratio of two aggregates over distributed data crosses a specified threshold. Consider these scenarios: a mechanism designed to defend against distributed denial of service attacks may be triggered w...

BACKGROUND Many epidemiologic studies report the odds ratio as a measure of association for cross-sectional studies with common outcomes. In such cases, the prevalence ratios may not be inferred from the estimated odds ratios. This paper overviews the most commonly used procedures to obtain adjusted prevalence ratios and extends the discussion to the analysis of clustered cross-sectional studie...

Sanitary sewer overflows ~SSOs! are a major environmental issue. One of the major factors causing SSOs is the rain-derived inflow and infiltration ~RDII! to a separate sanitary sewer system. If a wastewater collection system is not well maintained, cumulative system-wide RDII could easily cause the wastewater conveyance and treatment capacity to be overwhelmed, and thus lead to SSOs. Monitoring...

Hypothesis testing is one of the most significant facets of statistical inference, which like other situations in the real world is definitely affected by uncertain conditions. The aim of this paper is to develop hypothesis testing based on likelihood ratio test in fuzzy environment, where it is supposed that both hypotheses under study and sample data are fuzzy. The main idea is to employ Zade...

Association Rule Mining algorithms operate on a data matrix (e.g., customers products) to derive association rules [2, 23]. We propose a new paradigm, namely, Ratio Rules, which are quanti able in that we can measure the \goodness" of a set of discovered rules. We propose to use the \guessing error" as a measure of the \goodness", that is, the rootmean-square error of the reconstructed values o...

Four methods for compression ratio estimation based on cylinder pressure traces are developed and evaluated for simulated and experimental cycles. Three methods rely upon a model of polytropic compression for the cylinder pressure. It is shown that they give good estimates with a small bias at low compression ratios. A variable projection algorithm with a logarithmic norm of the cylinder pressu...

We examine the atmospheric budget of CO2 at temperate continental sites in the Northern Hemisphere. On a monthly time scale both surface exchange and atmospheric transport are important in determining the rate of change of CO2 mixing ratio at these sites. Vertical differences between the atmospheric boundary layer and free troposphere over the continent are generally greater than large-scale zo...