Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Search Publications by: Adam L. Pintar (Fed)

Displaying 51 - 60 of 60

Regional Homogenization of Surface Temperature Records Using Robust Statistical Methods

September 12, 2013

Author(s)

Adam L. Pintar, Antonio M. Possolo, Nien F. Zhang

An algorithm is described and applied to estimate and remove spurious influences from the surface temperature record at a meteorological station, which may be due to changes in the location of the station or in its environment, or in the method used to

Statistical Methods for Change-Point Detection in Surface Temperature Records

September 12, 2013

Author(s)

Adam L. Pintar, Antonio M. Possolo, Nien F. Zhang

We describe several statistical methods to detect possible change-points in a time series of values of surface temperature measured at a meteorological station, and to assess the statistical significance of such changes, taking into account the natural

Standard Reference Materials for Medical CT

June 27, 2013

Author(s)

Zachary H. Levine, Huaiyu H. Chen-Mayer, Adam L. Pintar, Daniel S. Sawyer

NIST Standard Reference Materials 2087 and 2088 for medical computed tomography (CT) have become available. The materials allow CT reconstructions to be tied to the International System of Units in length, density, and mass attenuation coefficient.

Prediction-Based Model Selection for Bayesian Multiple Regression Models

February 5, 2013

Author(s)

Adam L. Pintar

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 proposes

Meteorological extremes

December 28, 2012

Author(s)

Franklin T. Lombardo, Adam L. Pintar, Antonio Possolo, Emil Simiu, DongHun Yeo

This entry reviews basic principles of the statistical analysis of large extreme values (EVs), the role of simulations for the development of relevant meteorological data sets, the interaction between the extreme value modeling process and its application

Standard Reference Materials: SRM 1453, Expanded Polystyrene Board, for Thermal Conductivity from 281 K to 313 K

December 21, 2012

Author(s)

Robert R. Zarr, Adam L. Pintar

Thermal conductivity measurements at and near room temperature are presented as the basis for certified values of thermal conductivity of SRM 1453, Expanded Polystyrene Board. The measurements have been conducted in accordance with a randomized full

A Bayesian Approach to the Analysis of Split-Plot Product Arrays and Optimization in Robust Parameter Design

October 4, 2012

Author(s)

Adam L. Pintar

Many robust parameter design (RPD) studies involve a split-plot randomization structure and to obtain valid inferences in the analysis, it is essential to account for the design induced correlation structure. Bayesian methods are appealing for these

Bayesian Estimation of Reliability for Batches of High Reliability Single Use Parts

September 24, 2012

Author(s)

Adam L. Pintar

When batches of critical, very high reliability single use parts are being produced, rigorous testing is often required to qualify the parts and allow them to be used by the customer. Frequentist and Bayesian approaches are described for predicting the

Uncertainty in RECIST as a measure of volume for lung nodules and liver malignoma

April 27, 2012

Author(s)

Zachary H. Levine, Adam L. Pintar, John G. Hagedorn, Charles D. Fenimore, Claus P. Heussel

The authors investigate the extent to which the RESPONSE Evaluation Criateria in Solid Tumors (RECIST) can predict tumor volumes and changes in volume using clinical data. The data presented are a reanalysis of data acquired in other studies, including the

Model Selection for Good Estimation and Prediction Over a User-Speci ed Covariate Distribution for Linear Models Under the Frequentist Paradigm

October 26, 2011

Author(s)

Adam L. Pintar

Model selection is an important part of estimation and prediction for linear models with multiple explanatory variables (covariates). A variety of approaches exist that focus on estimation of model parameters or the t of the model where data have been