Results 21 to 30 of about 20,585 (102)

tolerance: An R Package for Estimating Tolerance Intervals [PDF]

The tolerance package for R provides a set of functions for estimating and plotting tolerance limits. This package provides a wide-range of functions for estimating discrete and continuous tolerance intervals as well as for estimating regression ...
Derek S. Young
core   +1 more source

Model Assessment Tools for a Model False World

, 2010
A standard goal of model evaluation and selection is to find a model that approximates the truth well while at the same time is as parsimonious as possible.
Lindsay, Bruce, Liu, Jiawei
core   +1 more source

Non-Parametric Approximations for Anisotropy Estimation in Two-dimensional Differentiable Gaussian Random Fields

, 2016
Spatially referenced data often have autocovariance functions with elliptical isolevel contours, a property known as geometric anisotropy. The anisotropy parameters include the tilt of the ellipse (orientation angle) with respect to a reference axis and ...
A Chorti, A Papoulis, AM Schmidt, AM Yaglom, AT Weaver, BV Gnedenko, C Lantuéjoul, D Bihan Le, D Hristopulos, D Hristopulos, D Hristopulos, Dionissios T. Hristopulos, DL Zimmerman, E Pardo-Igúzquiza, E Pebesma, F Richard, GC Wick, H Kazianka, H Wackernagel, J Guilleminot, JP Bouchaud, K Okada, L Feng, L Isserlis, L Wang, M Ecker, M Ecker, M Lillah, M Sambridge, M Siotani, Manolis P. Petrakis, P Fisher, P Levy, SC Olhede, SI Ranganathan, SW Park, T Bobach, W Feller, X Jiang, Z Zhang   +39 more
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Sequential Design for Ranking Response Surfaces

, 2016
We propose and analyze sequential design methods for the problem of ranking several response surfaces. Namely, given $L \ge 2$ response surfaces over a continuous input space $\cal X$, the aim is to efficiently find the index of the minimal response ...
Hu, Ruimeng, Ludkovski, Mike
core   +1 more source

Safe Learning of Quadrotor Dynamics Using Barrier Certificates

, 2017
To effectively control complex dynamical systems, accurate nonlinear models are typically needed. However, these models are not always known. In this paper, we present a data-driven approach based on Gaussian processes that learns models of quadrotors ...
Egerstedt, Magnus, Theodorou, Evangelos A., Wang, Li   +2 more
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Bayesian computational methods

, 2010
In this chapter, we will first present the most standard computational challenges met in Bayesian Statistics, focussing primarily on mixture estimation and on model choice issues, and then relate these problems with computational solutions.
Robert, Christian P.
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Semiparametric Estimation and Inference in Multinomial Choice Models [PDF]

The purpose of this paper is to incorporate semiparametric alternatives to maximum likelihood estimation and inference in the context of unordered multinomial response data when in practice there is often insufficient information to specify the ...
Cardell, N. Scott, Fahs, Rafic, Mittelhammer, Ronald C.   +2 more
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HAWAII PUBLIC OPINION ON AGRICULTURAL PRODUCTS DERIVED FROM GENETICALLY MODIFIED ORGANISM (GMO) TECHNOLOGY [PDF]

This article studied Hawaii public opinion on agricultural products and processes using GMO technology. We used telephone to interview the people in each island of Hawaii.
Chan-Halbrendt, Catherine, Ferguson, Carol, Wen, Na   +2 more
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Risk Assessment for National Natural Resource Conservation Programs [PDF]

This paper reviews the risk assessments prepared by the U.S. Department of Agriculture (USDA) in support of regulations implementing the Conservation Reserve Program (CRP) and Environmental Quality Incentives Program (EQIP).
Powell, Mark, Wilson, James
core  

Unveiling the Genomic Architecture of Phenotypic Plasticity Using Multiple GWAS Approaches Under Contrasting Conditions of Water Availability: A Model for Barley. [PDF]

Int J Mol Sci
Arenas S, Cortés AJ.
europepmc   +1 more source