Sentence examples for methods for multiple from inspiring English sources

Methods for multiple testing correction and their application are described.

In this thesis we develop new posterior decoding based methods for multiple alignments of discrete characters.

This chapter discusses different methods for multiple source localization and presents a comparison among them.

The purpose of this paper is to seek efficient methods for multiple damage location in beam structures.

In this paper, an analytical approach is proposed, based on the existing methods for multiple openings and on the plate buckling theory.

This study employed the percentile-based definition against a baseline climate (see Methods) for multiple reasons – it is practical for different climates; it has been successfully used to derive changes in heatwaves from different types of climate data; and multiple heatwave characteristics can be derived for a range of such impacts1.

The convergence of the several theoretical approaches and their effectiveness as analysis and design methods for multiple-stepped beams are also discussed.

This special issue targets at striking a balance between the efficiency and robustness of methods for multiple-view vision.

Fourteen methods for multiple-molecule querying of chemical databases, including novel methods, (ETD) and (TPD), are validated using publicly available data sets, standard cross-validation protocols, and established metrics.

Open image in new window Figure 1 A taxonomy of methods for multiple-response optimizations using ANN (Li et al. 2003, Hsu 2004, Ozcelik and Erzurumlu 2006, Chang 2006, Chang 2008, Chang and Chen 2011, Hesieh and Tong 2001, Noorossama et al. 2009, Hsu 2001, Sibalija and Majstorovic 2012, Caporaletti et al. 1999, Liao and Chen 2002, Liao 2004, and Liao 2005 ).

With the development of analytical methods for multiple-locus parameter estimation and the relative ease of collecting large amounts of sequence data, researchers with limited resources are concerned increasingly with how much data is required to estimate the parameters of interest accurately [17].