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Your search keyword '"Richard, N."' showing total 3 results
3 results on '"Richard, N."'

1. Detecting multiple mean breaks at unknown points in official time series

Author

Cappelli, Carmela, Penny, Richard N., Rea, William S., and Reale, Marco

Subjects
*GROSS domestic product, *ECONOMIC indicators, *STATISTICAL correlation, *ESTIMATION theory
Abstract

Abstract: In this paper, we propose a computationally effective approach to detect multiple structural breaks in the mean occurring at unknown dates. We present a non-parametric approach that exploits, in the framework of least squares regression trees, the contiguity property of data generating processes in time series data. The proposed approach is applied first to simulated data and then to the Quarterly Gross Domestic Product in New Zealand to assess some of anomalous observations indicated by the seasonal adjustment procedure implemented in X12-ARIMA are actually structural breaks. [Copyright &y& Elsevier]

Published
2008
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2. Analyzing location and dispersion in unreplicated fractional factorials

Author

McGrath, Richard N. and Lin, Dennis K.J.

Subjects
*ESTIMATION theory, *ANALYSIS of variance, *STATISTICAL correlation, *STATISTICS
Abstract

We explore the impact of dispersion effects on location effect estimation and derive approximate joint confidence regions for pairs of correlated location effect estimates. A procedure for estimating location effects in the presence of a single dispersion effect is recommended. [Copyright &y& Elsevier]

Published
2003
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3. A modified basal outlining algorithm for identifying topographic highs from gridded elevation data, Part 1: Motivation and methods

Author

Bohnenstiehl, DelWayne R., Howell, Julia K., White, Scott M., and Hey, Richard N.

Subjects
*ALGORITHMS, *BUILDINGS, *ESTIMATION theory, *VOLCANIC fields, *DIGITAL elevation models, *SUBMARINE topography, *COMPUTER simulation
Abstract

Abstract: A new approach is developed to improve the automated identification and characterization of topographic highs having quasi-elliptical basal shapes. It is designed for the study of volcanic edifices in subaerial and submarine environments, but may be applied to identify any enclosed topography feature within a digital elevation model. The procedure utilizes the results of a standard closed-contouring approach, but then adjusts the elevation of the volcanic base by evaluating the shape of the edifice along a series of topographic profiles. The algorithm overcomes the principal limitations of a stand-alone closed-contouring approach and provides improved estimates of edifice size that are less sensitive to topographic gradients and the choice of contour search interval. [Copyright &y& Elsevier]

Published
2012
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