... Dogs have undergone an intensive artificial selection process ever since the beginning of their relationship with humans. As a consequence, a wide variety of well-defined breeds exist today. Due to the enormous variation ...
... Multivariate normality. Multiple regression assumes that the residuals are normally distributed. The linear regression analysis requires all variables to be multivariate normal. This assumption can ...
... No auto-correlation. Linear regression analysis requires that there is little or no autocorrelation in the data. Autocorrelation occurs when the residuals are not independent from each other. For instance, this ...
... current analysis demonstrates the critical interplay between donor risk factors, recipient characteristics, and intra-operative ...In multivariateanalysis, statistically significant risk factors for ...
... To validate the factorial structure of the test we used factor analysis (principal component analy- sis) with varimax rotation. We assessed the suita- bility of the correlational matrix used in the analy- sis by ...
... Abstract. Multivariateanalysis was used to describe the com- position and distribution of vegetation types on the slopes of the volcanoes Tláloc and Pelado, ...Correspondence Analysis and Ca- ...
... We distinguished the different clinical presentations. Abdominal pain was the most frequent symptom (32.0% of the patients), followed by diarrhea (17.3% of the patients). Both symptoms are non-specific, which may explain ...
... and multivariateanalysis were implemented to evaluate the influence of analyzed factors on quality of ...Results. Multivariateanalysis has identified serum natremia, Psychometric Hepatic ...
... taken. Multivariateanalysis revealed that overall IEXPAC scores for patient experience were significantly better when patients were followed-up by the same rather than a different physician, were followed- ...
... a multivariateanalysis is done, with which it can be assigned a statistical weight to each event or individual within the measured popu- ...data analysis framework ROOT , two applications are made: ...
... 2014). However, in order to increase the genetic gain for complex traits, such as fruit quality, it would be appropriate to estimate a joint value of heritability that simultaneously includes all or at least a great ...
... analyzed. Multivariate logistic regression was used to determine the effect of the potential risk factors on the rate of each ...(19.1%). Multivariateanalysis iden- tified the following risk ...
... discusses multivariateanalysis results obtained by spectrometry of a portable range in indoor spaces, presenting different proportions of granite used as a building material in order to evaluate a typology ...
... Patients with lower viral loads showed better results in QoL on “general health” and “role and social functioning” domains at initial analysis, but at multivariateanalysis this association was not ...
... statistical analysis is performed to enable a comparison among ...on multivariateanalysis frameworks, with many recent developments based on pattern recognition and other machine learning ...of ...
... regression analysis were age, sex, APACHE- II score, VAP caused by Staphylococcus aureus methi- cillin resistance/Staphylococcus aureus methicillin susceptible (MRSA/MSSA), bacterial coinfection, and days in ...
... The ll þ μμ reducible background arises from Z þ jets and t¯ t processes, where the Z þ jets contribution has a Zb b ¯ heavy-flavor quark component in which the heavy-flavor quarks decay semileptonically, and a component ...