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Displaying records 81 to 90 of 112 records.
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81. Prediction and Three-Dimensional Monte-Carlo Simulation for Tensile Properties of Unidirectional Hybrid Composites
Topic: Statistics
Published: 4/1/2005
Authors: Martin Y Chiang, Xianfeng Wang, Carl R. Schultesiz
Abstract: A three-dimensional fiber tow-based analytical model incorporating shear-lag theory and a statistical strength distribution has been used to simulate the tensile properties and predict the tensile strength of unidirectional hybrid composites. The hy ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=852251

82. Prediction-Based Model Selection For Bayesian Multiple Regression Models
Topic: Statistics
Published: 2/5/2013
Author: Adam L Pintar
Abstract: Model selection is an important part of model building for Bayesian linear models when the number of possible model terms is large. Most current approaches focus on posterior model probabilities or the deviance information criterion. This article pro ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=909846

83. Preface
Topic: Statistics
Published: 9/2/2012
Authors: Andrew M Dienstfrey, Ronald F Boisvert
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=911130

84. R implementation of a polyhedral approximation to a 3D set of points using the alpha-shape
Topic: Statistics
Published: 1/1/2014
Authors: Thomas Victor Emmanuel Lafarge, Beatriz Pateiro Lopez, Antonio M Possolo, Joy P Dunkers
Abstract: This work describes the implementation in R of the alpha-shape of a finite set of points in three-dimensional space. This geometric construct generalizes the convex hull and estimates the shape of non-convex and even non-connected sets in 3D, given r ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=911704

85. Random-Effects Model for Meta-analysis of Clinical Trials: An Update
Topic: Statistics
Published: 1/1/2007
Authors: Rebecca DerSimonian, Raghu N Kacker
Abstract: The random-effects model is a useful approach for meta-analysis of clinical studies. It explicitly accounts for the heterogeneity of studies through a statistical parameter representing the inter-study variation. We discuss several iterative and non- ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=51313

86. Randomness Testing of the Advanced Encryption Standard Candidate Algorithms
Series: NIST Interagency/Internal Report (NISTIR)
Report Number: 6390
Topic: Statistics
Published: 9/1/1999
Author: Juan Soto
Abstract: One of the criteria used to evaluate the Advanced Encryption Standard candidate algorithms was their demonstrated suitability as random number generators. That is, the evaluation of their output utilizing statistical tests should not provide any mean ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=151193

87. Randomness Testing of the Advanced Encryption Standard Finalist Candidates
Series: NIST Interagency/Internal Report (NISTIR)
Report Number: 6483
Topic: Statistics
Published: 4/1/2000
Authors: Juan Soto, Lawrence E Bassham
Abstract: Mars, RC6, Rijndael, Serpent and Twofish were selected as finalists for the Advanced Encryption Standard (AES). To evaluate the finalists' suitability as random number generators, empirical statistical testing is commonly employed. Although it widely ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=151216

88. Reducing Data Nonconformity in Linear Models
Topic: Statistics
Published: 1/3/2011
Author: Andrew L Rukhin
Abstract: Stein phenomenon Summary Several procedures designed to reduce nonconformity in interlaboratory studies by shrinking data toward a consensus matrix weighted mean are suggested. Some of them are shown to have a smaller quadratic risk than the vector s ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=905278

89. Resource Allocation for Selection Decisions with Measurement Uncertainty
Topic: Statistics
Published: 6/3/2014
Authors: Dennis D Leber, Jeffery W Herrmann
Abstract: Before selecting an alternative based on attribute values that have been determined through a measurement process that has error, a decision-maker can, in some cases, collect additional data to reduce uncertainty. Unlike previous work in the area of ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=915559

90. Restricted Likelihood Representation for Multivariate Heterogeneous Random Effects Models
Topic: Statistics
Published: 1/31/2014
Author: Andrew L Rukhin
Abstract: In the random-effects model of meta-analysis for heterogeneous multidimensional data a canonical representation of the restricted likelihood function is obtained. This representation is related to a linear data transform which is based on the algebr ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=914696



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