Consider a Gaussian memoryless multiple source with m components with joint probability distribution known only to lie in a given class of distributions. A subset of k ≤ m components are sampled and compressed with the objective of reconstructing all the m components within a specified level of distortion under a meansquared error criterion. In Bayesian and nonBayesian settings, the notion of u...

We suggest an adaptive sampling rule for obtaining information from noisy signals using wavelet methods. The technique involves increasing the sampling rate when relatively high-frequency terms are incorporated into the wavelet estimator, and decreasing it when, again using thresholded terms as an empirical guide, signal complexity is judged to have decreased. Through sampling in this way the a...

Pharmacokinetic studies are commonly performed using the two-stage approach. The first stage involves estimation of pharmacokinetic parameters such as the area under the concentration versus time curve (AUC) for each analysis subject separately, and the second stage uses the individual parameter estimates for statistical inference. This two-stage approach is not applicable in sparse sampling si...

A key component of Integrated Pest Management (IPM) in agricultural systems is ®eld monitoring for pests prior to reaching a management decision. The study objective was to quantify a common design constraint of commercial IPM sampling programs: the trade-o€ between sampling time and accuracy of the resulting pest management decision. Using consperse stink bug (Euschistus conspersus Uhler) in p...

This study was to analyze some demographic variables influencing the participation of rural women in the informal sector of Imo State, Nigeria. Descriptive analysis was applied on the data collected from a survey conducted in nine Local Government Areas of Imo State. Two thousand, three hundred and forty women were selected using multistage sampling. The selection of nine LG As constituted the ...

Population size and density estimates are needed to plan resource requirements and plan health related interventions. Sampling frames are not always available necessitating surveys using non-standard household sampling methods. These surveys are time-consuming, difficult to validate, and their implementation could be optimised. Here, we discuss an example of an optimisation procedure for rapid ...

We suggest an adaptive sampling rule for obtaining information from noisy signals using wavelet methods. The technique involves increasing the sampling rate when relatively high-frequency terms are incorporated into the wavelet estimator, and decreasing it when, again using thresholded terms as an empirical guide, signal complexity is judged to have decreased. Through sampling in this way the a...

We present a probabilistic framework for efficient non-negative matrix factorization of discrete (count/binary) data with sideinformation. The side-information is given as a multi-level structure, taxonomy, or ontology, with nodes at each level being categorical-valued observations. For example, when modeling documents with a twolevel side-information (documents being at level-zero), level-one ...

CLAUDINE LEGAULT. Analyzing Multiple Endpoints with a two-stage group sequential design in clinical trials. (Under the direction of Timothy M. Morgan.) In many clinical trials, the assessment of the response to the various treatments can include a large variety of outcome variables which are generally correlated. Different endpoints may be regarded by the investigators as important in determini...