Results 261 to 270 of about 7,117,095 (307)

'No statistically significant difference'. So what?

A M A Archives of Ophthalmology, 1987
In many scientific communications, we are confronted with data showing "no statistically significant difference" between two groups (populations) with respect to a certain variable.
W. Bourne
semanticscholar   +1 more source

Distributed Detection Algorithm for Photo-Voltaic Solar Arrays Based on Least Significant Difference Test

Luis Diego Murillo-Soto, Carlos Meza, Cindy Calderón-Arce   +2 more
openalex   +2 more sources

Multigroup Analysis in Partial Least Squares (PLS) Path Modeling: Alternative Methods and Empirical Results

, 2011
Purpose – Partial least squares (PLS) path modeling has become a pivotal empirical research method in international marketing. Owing to group comparisons' important role in research on international marketing, we provide researchers with recommendations ...
M. Sarstedt, J. Henseler, C. Ringle
semanticscholar   +1 more source

Least significant spacing for ‘one versus the rest’ normal populations

, 1988
Consider sample means from k(≥2) normal populations where the variances and sample sizes are equal. The problem is to find the ‘least significant difference’ or ‘spacing’ (LSS) between the two largest means, so that if an observed spacing is larger we ...
Eve Bofinger
semanticscholar   +1 more source

Digital Image Watermarking Using Least Significant Bit Technique in Different Bit Positions

2014 International Conference on Computational Intelligence and Communication Networks, 2014
Watermarking is a method to protect the data and to authenticate the digital content. Watermarking is required due to the emergence of usage of internet in one's day to day life. As the usage of digital content is growing rapidly, there are many instances where data is insecure.
Atul Bansal, Neha Bansal, Pooja Pathak, Vinay Kumar Deolia   +3 more
openaire   +2 more sources

Do we need hundreds of classifiers to solve real world classification problems?

Journal of machine learning research, 2014
We evaluate 179 classifiers arising from 17 families (discriminant analysis, Bayesian, neural networks, support vector machines, decision trees, rule-based classifiers, boosting, bagging, stacking, random forests and other ensembles, generalized linear ...
M. Delgado, E. Cernadas, S. Barro, D. Amorim   +3 more
semanticscholar   +1 more source

Reproducibility and least significant differences of oral glucose tolerance test-derived parameters in a postmenopausal population without diabetes

Diabetes & Metabolism, 2017
Diabetes & Metabolism - In Press.Proof corrected by the author Available online since mercredi 18 janvier ...
F.P. Van de Velde, A. Dierickx, H. Depypere, J.R. Delanghe, J.-M. Kaufman, B. Lapauw   +5 more
openaire   +3 more sources

Geologic Evolution of the Himalayan-Tibetan Orogen

, 2000
A review of the geologic history of the Himalayan-Tibetan orogen suggests that at least 1400 km of north-south shortening has been absorbed by the orogen since the onset of the Indo-Asian collision at about 70 Ma.
A. Yin, T. Harrison
semanticscholar   +1 more source

Identifying the most significant pairwise correlations of residues in different positions of helices

Proceedings of the 2001 ACM symposium on Applied computing, 2001
We examine the pairwise residue interactions at 15 positions in -helices in order to identify the sets of pairwise residue interactions/correlations most in uential in the formation of di erent segments of helices. We model this subset selection problem as a least squares problem and employ a fast local search technique.
Gareth Chelvanayagam, Xianghong Zhou, Michael Hallett   +2 more
openaire   +1 more source

Encountering "Difference" in the contemporary public sphere: The contribution of the internet to the heterogeneity of political discussion networks

, 2010
This study explores the intersection of media use, political discussion, and exposure to political difference through a focus on how Internet use might affect the overall heterogeneity of people's political discussion networks. Advanced and tested herein
Jennifer Brundidge
semanticscholar   +1 more source