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Design of spatial experiments: Model fitting and prediction

Description: The main objective of the paper is to describe and develop model oriented methods and algorithms for the design of spatial experiments. Unlike many other publications in this area, the approach proposed here is essentially based on the ideas of convex design theory.
Date: March 1, 1996
Creator: Fedorov, V.V.
Item Type: Refine your search to only Report
Partner: UNT Libraries Government Documents Department
open access

Prediction: Design of experiments based on approximating covariance kernels

Description: Using Mercer`s expansion to approximate the covariance kernel of an observed random function the authors transform the prediction problem to the regression problem with random parameters. The latter one is considered in the framework of convex design theory. First they formulate results in terms of the regression model with random parameters, then present the same results in terms of the original problem.
Date: November 1, 1998
Creator: Fedorov, V.
Item Type: Refine your search to only Article
Partner: UNT Libraries Government Documents Department
open access

Placement of sensors for correlated observations

Description: The study was motivated by the necessity to construct monitoring networks in various applied areas. Environmetry, meteorology, and seismology are the most notable examples. The approach is based on the expansion of covariance kernels with respect to their eigenfunctions and subsequent use of numerical algorithms based on convex design theory ideas.
Date: February 1, 1997
Creator: Fedorov, V.V.
Item Type: Refine your search to only Article
Partner: UNT Libraries Government Documents Department
open access

Optimal monitoring of computer networks

Description: The authors apply the ideas from optimal design theory to the very specific area of monitoring large computer networks. The behavior of these networks is so complex and uncertain that it is quite natural to use the statistical methods of experimental design which were originated in such areas as biology, behavioral sciences and agriculture, where the random character of phenomena is a crucial component and systems are too complicated to be described by some sophisticated deterministic models. T… more
Date: August 1, 1997
Creator: Fedorov, V.V. & Flanagan, D.
Item Type: Refine your search to only Article
Partner: UNT Libraries Government Documents Department
open access

Selection of sites for monitoring network performance (extended abstract)

Description: The authors apply the ideas from optimal design theory to the very specific area of monitoring large computer networks. The behavior of these networks is so complex and uncertain that it is quite natural to use the statistical methods of experimental design developed for situations in which the random character of phenomena is a crucial component and systems are too complicated to be described by any reasonable deterministic model. The authors want to emphasize that only the first steps have be… more
Date: August 1, 1997
Creator: Fedorov, V.; Flanagan, D. & Batsell, S.
Item Type: Refine your search to only Article
Partner: UNT Libraries Government Documents Department
open access

Optimal sampling in network performance evaluation

Description: Unlike many other experiments, in meteorology and seismology for instance, monitoring measurements on communication networks are cheap and fast. Even the simplest measurement tools, which are usually some interrogating programs, can provide a huge amount of data at almost no expense. The problem is not decreasing the cost of measurements, but rather reducing the amount of stored data and the measurement and analysis time. The authors address the approach that is based on the covariances between… more
Date: November 1, 1998
Creator: Fedorov, V.; Flanagan, D. & Batsell, S.
Item Type: Refine your search to only Article
Partner: UNT Libraries Government Documents Department
open access

Multivariate prediction: Selection of the most informative components to measure

Description: A number of interesting problems in the design of experiments such as sensor allocation, selection of sites for the observing stations, determining sampler positions in traffic monitoring, and which variables to survey/measure in sampling studies may be considered in the following setting: Given a covariance matrix of multi-dimension random vector and given a ratio of the number of possible observations to the observational error select those components which must be observed to guarantee minim… more
Date: June 1, 1998
Creator: Batsell, S.; Fedorov, V. & Flanagan, D.
Item Type: Refine your search to only Article
Partner: UNT Libraries Government Documents Department
open access

Heteroscedasticity generated by errors in predictors

Description: The heteroscedasticity or changing variance observed ``raw`` data may be the result of randomness or uncertainty in the predictor variables. As an example we consider ``Charpy Test`` experiments widely used to characterize the ductile-brittle toughness of steels such as those used for nuclear pressure vessels. While this type of experiment is of interest in itself, our main objective is to show that the use of a proper statistical technique may help to avoid the use of more complicated physical… more
Date: November 1, 1995
Creator: Downing, D. J.; Fedorov, V. V. & Nanstad, R. K.
Item Type: Refine your search to only Report
Partner: UNT Libraries Government Documents Department
open access

Analysis of neutron scattering data: Visualization and parameter estimation

Description: Traditionally, small-angle neutron and x-ray scattering (SANS and SAXS) data analysis requires measurements of the signal and corrections due to the empty sample container, detector efficiency and time-dependent background. These corrections are then made on a pixel-by-pixel basis and estimates of relevant parameters (e.g., the radius of gyration) are made using the corrected data. This study was carried out in order to determine whether treatment of the detector efficiency and empty sample cel… more
Date: September 1, 1998
Creator: Beauchamp, J.J.; Fedorov, V.; Hamilton, W.A. & Yethiraj, M.
Item Type: Refine your search to only Report
Partner: UNT Libraries Government Documents Department
open access

Analysis and monitoring design for networks

Description: The idea of applying experimental design methodologies to develop monitoring systems for computer networks is relatively novel even though it was applied in other areas such as meteorology, seismology, and transportation. One objective of a monitoring system should always be to collect as little data as necessary to be able to monitor specific parameters of the system with respect to assigned targets and objectives. This implies a purposeful monitoring where each piece of data has a reason to b… more
Date: June 1, 1998
Creator: Fedorov, V.; Flanagan, D.; Rowan, T. & Batsell, S.
Item Type: Refine your search to only Report
Partner: UNT Libraries Government Documents Department
open access

Analysis and monitoring design for networks

Description: The idea of applying experimental design methodologies to develop monitoring systems for computer networks is relatively novel even though it was applied in other areas such as meteorology, seismology, and transportation. One objective of a monitoring system should always be to collect as little data as necessary to be able to monitor specific parameters of the system with respect to assigned targets and objectives. This implies a purposeful monitoring where each piece of data has a reason to b… more
Date: June 1, 1998
Creator: Fedorov, V.; Flanagan, D.; Rowan, T. & Batsell, S.
Item Type: Refine your search to only Report
Partner: UNT Libraries Government Documents Department
open access

Large datasets: Segmentation, feature extraction, and compression

Description: Large data sets with more than several mission multivariate observations (tens of megabytes or gigabytes of stored information) are difficult or impossible to analyze with traditional software. The amount of output which must be scanned quickly dilutes the ability of the investigator to confidently identify all the meaningful patterns and trends which may be present. The purpose of this project is to develop both a theoretical foundation and a collection of tools for automated feature extractio… more
Date: July 1, 1996
Creator: Downing, D. J.; Fedorov, V.; Lawkins, W. F.; Morris, M. D. & Ostrouchov, G.
Item Type: Refine your search to only Report
Partner: UNT Libraries Government Documents Department
open access

Analysing perturbations and nonstationarity in data series using techniques motiviated by the theory of chaotic nonlinear dynamical systems

Description: Large data series with more than several million multivariate observations, representing tens of megabytes or even gigabytes of data, are difficult or impossible to analyze with traditional software. The shear amount of data quickly overwhelms both the available computing resources and the ability of the investigator to confidently identify meaningful patterns and trends which may be present. The purpose of this research is to give meaningful definition to `large data set analysis` and to descr… more
Date: May 1, 1996
Creator: Downing, D. J.; Fedorov, V.; Lawkins, W. F.; Morris, M. D. & Ostrouchov, G.
Item Type: Refine your search to only Report
Partner: UNT Libraries Government Documents Department
open access

Cementitious Stabilization of Mixed Wastes with High Salt Loadings

Description: Salt loadings approaching 50 wt % were tolerated in cementitious waste forms that still met leach and strength criteria, addressing a Technology Deficiency of low salt loadings previously identified by the Mixed Waste Focus Area. A statistical design quantified the effect of different stabilizing ingredients and salt loading on performance at lower loadings, allowing selection of the more effective ingredients for studying the higher salt loadings. In general, the final waste form needed to con… more
Date: April 1999
Creator: Spence, R. D.; Burgess, M. W.; Fedorov, V. V. & Downing, D. J.
Item Type: Refine your search to only Report
Partner: UNT Libraries Government Documents Department
open access

Poisson type models and descriptive statistics of computer network information flows

Description: Many contemporary publications on network traffic gravitate to ideas of self-similarity and long-range dependence. The corresponding elegant and parsimonious mathematical techniques proved to be efficient for the description of a wide class of aggregated processes. Sharing the enthusiasm about the above ideas the authors also believe that whenever it is possible any problem must be considered at the most basic level in an attempt to understand the driving forces of the processes under analysis.… more
Date: August 1, 1997
Creator: Downing, D.; Fedorov, V.; Dunigan, T. & Batsell, S.
Item Type: Refine your search to only Report
Partner: UNT Libraries Government Documents Department
open access

Large data series: Modeling the usual to identify the unusual

Description: {open_quotes}Standard{close_quotes} approaches such as regression analysis, Fourier analysis, Box-Jenkins procedure, et al., which handle a data series as a whole, are not useful for very large data sets for at least two reasons. First, even with computer hardware available today, including parallel processors and storage devices, there are no effective means for manipulating and analyzing gigabyte, or larger, data files. Second, in general it can not be assumed that a very large data set is {o… more
Date: April 1, 1997
Creator: Downing, D. J.; Fedorov, V. V.; Lawkins, W. F.; Morris, M. D. & Ostrouchov, G.
Item Type: Refine your search to only Article
Partner: UNT Libraries Government Documents Department
open access

Statistical analysis of radiochemical measurements of TRU radionuclides in REDC waste

Description: This report summarizes results of the study on the isotopic ratios of transuranium elements in waste from the Radiochemical Engineering Development Center actinide-processing streams. The knowledge of the isotopic ratios when combined with results of nondestructive assays, in particular with results of Active-Passive Neutron Examination Assay and Gamma Active Segmented Passive Assay, may lead to significant increase in precision of the determination of TRU elements contained in ORNL generated w… more
Date: October 1, 1996
Creator: Beauchamp, J.; Downing, D.; Chapman, J.; Fedorov, V.; Nguyen, L.; Parks, C. et al.
Item Type: Refine your search to only Report
Partner: UNT Libraries Government Documents Department
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