Browne, M. W. (1975b). Comparison of single sample and cross-validation methods for estimating the mean squared error of prediction in multiple linear regression. British Journal of Mathematical and Statistical Psychology, 28, 112-120.Browne, M. N. (1975). A com parison of single sample ...
It is, however, designed to provide the elements of econometric theory essential for a researcher to develop and evaluate regression models. Multiple regression is not a multivariate technique in the strictest sense because the focus of the analysis is a single dependent variable. Nevertheless, the...
Give a brief explanation on the difference between simple linear regression and multiple linear regressions. What is the difference between simple linear regression and multiple linear regression? What is/are the difference(s) between simple linear regression and a multiple re...
To inspect the effects of the various parameters on clustering performance, we performed multiple linear regression between the parameters and the ARI. The regression coefficients are shown in Fig. 5a. Overall, σ appears to be the most dominant factor, and the proportion of the rare population ...
Cellular lipid metabolism is a complex network process comprising dozens of enzymes, multiple organelles and more than a thousand lipid species. Tracing metabolic reactions in this network is a major technological and scientific challenge. Using a click-chemistry mass spectrometry reporter strategy, we ...
scan - Single-Case Data Analyses for Single and Multiple Baseline Designs A collection of procedures for analysing, visualising, and managing single-case data. These include piecewise linear regression models, multilevel models, overlap indices ('PND', 'PEM', 'PAND', 'PET', 'tau-u', 'baselin...
We then reasoned that the tissue level expression of a given gene could be modeled as a weighted average of cell type-specific expression, where the weights are proportional to the relative abundance of each cell type. We used multiple linear regression to estimate the expected fraction of each...
We performed standard linear and logistic regression analyses of the data, using the R computer package (version 2.3.1 [R Development Core Team 2006]), as well as recursive partitioning tree-based analyses, using the R party package.26 We used MENDEL27 to perform individual SNP and haplotypic...
Instead, combining multiple analytic approaches is often necessary [7,9,12,32]. However, it is unclear whether the challenge of identifying cell types arises from the computational complexity of the data or whether cells exist in a continuum of states and discrete cell-type labels are merely an...
Recent overview articles on image SR include Nasrollahi and Moeslund [42] or Yang et al. [60]. Here we will focus on single image super-resolution (SISR) and will not further discuss approaches that recover HR images from multiple images [3, 14]. ...