Eric Chicken

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Many modern industrial processes are capable of generating rich and complex data records that do not readily permit the use of traditional statistical process control techniques. For example, a “single observation” from a process might consist of n pairs of (x, y) data that can be described as y = f(x) when the process is in-control. Such data structures or(More)
Nucleosome occupancy plays a key role in regulating access to eukaryotic genomes. Although various chromatin regulatory complexes are known to regulate nucleosome occupancy, the role of DNA sequence in this regulation remains unclear, particularly in mammals. To address this problem, we measured nucleosome distribution at high temporal resolution in human(More)
This document is a technical report containing a detailed description of KFM1: version 1 of the Karst Flow Model; this report is a companion to Loper and Chicken (2011) [1]. A second technical report, Chicken and Loper (2011) [2], describes the implementation of the model using R. KFM is a model of flow in a karstic aquifer capable of predicting the time(More)
Nonparametric regression via wavelets is usually implemented under the assumptions of dyadic sample size, equally spaced and fixed sample points, and i.i.d. normal errors. An estimator is proposed which, through the use of linear transformations and block thresholding, can simultaneously achieve both global and local optimal rates of convergence even for(More)
The Analysis of Variance (ANOVA) is a commonly used statistical test in Statistics. The test compares the equality of means against the alternative that at least one of the means are different. In this report, we introduce a multivariate test known as Wavelet Analysis of Variance extending ANOVA to profile (functional) data. The test exploits the dimension(More)
The Cox proportional hazards model is widely used for analyzing associations between risk factors and occurrences of events. One of the essential requirements of defining Cox proportional hazards model is the choice of a unique and well-defined time scale. Two time scales are generally used in epidemiological studies: time-on-study and chronological age.(More)
The Cox proportional hazards model is routinely used to determine the time until an event of interest. Two time scales are used in practice: time-on-study and chronological age. The former is the most frequently used time scale both in clinical studies and longitudinal observation studies. However, there is no general consensus about which time scale is the(More)
The Cox proportional hazards model is widely used in time-to-event analysis. Two time scales are used in practice: time-on-study and chronological age. The former is the most frequently used time scale both in clinical studies and longitudinal observation studies. There is no general consensus about which time scale is the best. It has been asserted that if(More)