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 a strict sense in
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...
Understanding the genetic and nongenetic determinants of tumor protein 53 (TP53)-mutation-driven clonal evolution and subsequent transformation is a crucial step toward the design of rational therapeutic strategies. Here we carry out allelic resolution single-cell multi-omic analysis of hematopoietic stem/...
We use our metacells to reveal expression dynamics and gradual reconfiguration of the chromatin landscape during hematopoietic differentiation and to uniquely identify CD4 T cell differentiation and activation states associated with disease onset and severity in a Coronavirus Disease 2019 (COVID-19) patien...
In addition, the multiple-trait model slightly improved unbiasedness for trait II because, for trait II, the regression coefficient was close to 1; however, the re- gression coefficients between the single-trait and multiple- trait models were not statistically different. Reliability of GEBV The ...
As mentioned former, this paper deals with a single machine scheduling problem with multiple unavailability periods where the objective function minimizes the sum of maximum earliness and tardiness of jobs, in addition, a knowledge-based VNS is proposed as the solution method. Accordingly, the relevan...
A hierarchical logistic regression model with MAG/SAG as the dependent variable was used to examine the extent of differences among surgeons in the choice of procedure. The hierarchical model was used because the independent variables being examined were at 2 different levels: patient and surgeon. ...
The methods are based on a new model for sparse multiple regression, which we call the "Sum of Single Effects" (SuSiE) model. This model, which will be described in a manuscript in preparation (Wang et al), lends itself to a particularly simple and intuitive fitting procedure -- effectivel...
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...
坐标位置回归层(regression hearders),结构与分类层相仿,只是输出的通道略有不同,通过对不同尺度的特征图进行卷积,输出的是每个特征图中每个坐标对应的default boxes的偏移坐标(文章中称为shape offset)。 总体来说,SSD网络结构其实有四部分组成,backbone部分、额外添加的特征提取层、分类层以及坐标位置回归层。注意当初...