1. In Cubature: Adaptive Multivariate Integration over Hypercubes

2. Naive Bayes classifier for multivariate Bernoulli models

3. M-AMBI — Multivariate AZTI’s Marine Biotic Index

4. M-AMBI(n) — Multivariate AZTI’s Marine Biotic Index Normalized

5. Out of these 1,700 with complete documentation of covariates were included in multivariate analysis.

6. Statistical analyses were performed by multivariate two-factorial analysis of variance.

7. 9 Multivariate analysis was carried out by unconditional logistic regression analysis.

8. Potential risk factors for Bromism were identified via univariate and subsequent multivariate

9. In multivariate analysis, age and T-stage were significant in predicting bNED.

10. Canonical Correlation is one of the most general of the multivariate techniques

11. We identified aPCs in Autografts based on multivariate analysis of individual cell populations (e.g., CD56 +, CD19 −, CyIgκ +, and

12. Confounding is usually controlled for by multivariate analysis and other statistical adjustment techniques.

13. Two multivariate approaches are used, agglomerative classification and a modification of principal coordinates analysis.

14. A python library for sampling and generating new Data points by multivariate Gaussian Copulas

15. Concatenating the multivariate analysis methods allowed the division of each family into subgroups of affinities.

16. The multivariate analysis underlines the importance of adaptation and insight to differentiate between all groups.

17. It is a multivariate generalization of the definition of Covariance between two scalar random variables.

18. Commonality analysis thus sheds additional light on the magnitude of an obtained multivariate relationship by

19. ‘We used cross-tabulations and rank correlation coefficients to investigate Bivariate association.’ ‘Tables 3 and 4 show the Bivariate and multivariate correlations of therapeutic involvement, respectively.’ ‘A combination of Bivariate and multivariate logistic regression analysis techniques was utilized.’

20. Significance remained in multivariate regression analysis in all parameters for both sexes, when controlling for age.

21. A Copula is a function which couples a multivariate distribution function to its marginal distribution functions, generally called marginals or simply margins

22. Potential predictors of acceptance of an alleged incident were modeled by uni- and multivariate logistic regression analysis.

23. Multivariate pattern analysis (MVPA) was used to decode Articulatory gestures in M1, cerebellum and basal ganglia

24. ANalysis Of VAriance (ANOVA), Principal Component Analysis (PCA) and other types of multivariate analysis were employed.

25. In multivariate analysis, frequent attendance in general practices was predicted by physical problems and living alone.

26. Cubature is an R package for adaptive multivariate integration over hypercubes using deterministic and Monte Carlo methods

27. The relationship between burnout and personality, course of study, and sex has been investigated in multivariate regression analysis.

28. Multivariate testing is when you use software to change different parts of your website on the fly.

29. CodonW is a programme designed to simplify the Multivariate analysis (correspondence analysis) of Codon and amino acid usage

30. As an alternative method to evaluate multivariate generalized interpolation polynomials for rectangular grids a Neville-Aitken algorithm is presented.

31. The difference became significant (HR [hazard ratio] = 0.1, 95% CI [confidence interval]: 0.0–0.6; p = 0.01) at multivariate analysis.

32. The strength calculation formula of the screw propeller under the action of centrifugal force was obtained through multivariate fitting.

33. A multivariate analysis of variance showed that pattern electroetinogram amplitude was significantly reduced in patients as compared to control.

34. Coefficients in multivariate linear models represent the dependency between a given feature and the target, conditional on the other features.

35. 14 To obtain a rapidly convergent algorithm,[www.Sentencedict.com] the parameter expansion technique is applied to the correlation structure of multivariate model.

36. In a multivariate analysis, while adjusting for all covariables, reported incidence of IEC was 2.4-fold significantly increased (P<0.001).

37. Two multivariate clustering procedures are used on a sample of 797 Bursts from the Third BATSE Catalog, a nonparametric average linkage hierarchical …

38. Multivariate design language pattern and many dimensions of artistic form construction make the biography matchmaker artistic form more perfect and full-grown.

39. Except for age of primary manifestation and history of severe acne, the mentioned factors were independent predictors for disease severity in multivariate analysis.

40. Confirmatory factor analysis (CFA) is a multivariate statistical procedure that is used to test how well the measured variables represent the number of constructs.

41. A python libray to build multivariate gaussian Copula for given data points and sample arbitary number of new data points from input data distribution.

42. Practice characteristics influencing variation in Ascertainment were identified and a multivariate model developed to identify adjustment factors which could be applied to individual practices

43. Nutritional epidemiologists use multivariate statistics, such as principal components analysis and factor analysis, to measure how patterns of dietary behavior influence the risk of developing cancer.

44. The Copula is a probability model that represents a multivariate uniform distribution, which examines the association or dependence between many variables. Although the statistical calculation of

45. Statistical modelling based on multivariate analysis and neural networks can be used for more robust analysis because the device measures frequency, amplitude, phase, time and spatial dependencies.

46. After adjusted by the C-reactive protein level in multivariate model, the elevated MPO activity of 10 units was attributed to an increased cardiovascular risk for 4%.

47. Bivariate and multivariate analyses are statistical methods to investigate relationships between data samples. Bivariate analysis looks at two paired data sets, studying whether a relationship exists between them

48. The heart of the CKF is a spherical-radial Cubature rule, which makes it possible to numerically compute multivariate moment integrals encountered in the nonlinear Bayesian filter

49. Bivariate Normal Distribution A special case of the multivariate normal distribution is the Bivariate normal distribution with only two variables, so that we can show many of its aspects geometrically

50. IBM® SPSS® Amos is a powerful structural equation modeling (SEM) software helping support your research and theories by extending standard multivariate analysis methods, including regression, factor analysis, correlation and analysis of variance.

51. IBM® SPSS® Amos is a powerful structural equation modeling (SEM) software helping support your research and theories by extending standard multivariate analysis methods, including regression, factor analysis, correlation and analysis of variance.

52. Univariate, Bivariate, and Multivariate Data Analysis for Your Businesses Data Analysis is the methodical approach of applying the statistical measures to describe, analyze, and evaluate data. The researchers analyze patterns and relationships among variables.

53. In this note, a preliminary test of the ability of visible and near infrared spectroscopy (NIR) coupled with multivariate statistical methods is described to predict the phenol-formaldehyde (PF) adhesive content in oriented strandboard (OSB) post manufacture.

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55. By means of bivariate and multivariate regression analyses, abnormal vascular status was independently associated with high body mass index, body fat content, fibrinogen >3,5 g/l, triglycerides >1.2 mmol/l, insulin resistance >4 (HOMA) and low physical fitness.

56. In the multivariate analysis of the test group, performance status, ambulatory status, other bone metastases, visceral metastases, interval from cancer diagnosis to radiotherapy of MSCC, and time of developing motor deficits were significant for survival and included in the score.

57. Adjuvant chemotherapy improved overall survival among patients with microsatellite-stable tumors or tumors exhibiting low-frequency microsatellite instability, according to a multivariate analysis adjusted for stage and grade (hazard ratio for death, 0.72 [95 percent confidence interval, 0.53 to 0.99]; p=0.04).

58. When the predictions from the multivariate analysis of the data for the genus Myotis are used with data from other bats, they suggest that 5 species of Nycteris are gleaners, while 11 species of Eptesicus are either aerial feeders or feed over water.

59. This paper discusses Admissibilities of estimators in a class of linear models, which include the following common models: the univariate and multivariate linear models, the growth curve model, the extended growth curve model, the seemingly unrelated regression equations, the variance components model, and so on

60. The purpose of this study was to evaluate the oncologic effectiveness of radical and different types of modified neck dissections with preservation of n. accessorius, v. jugularis interna, and m. sternocleidomastoideus and to identify prognostic factors for regional control and survival in univariate and multivariate analysis.

61. Centenarian offspring were found to have a 56% reduced relative prevalence of heart disease, a 66% reduced relative prevalence of hypertension, and a 59% reduced relative prevalence of diabetes in multivariate analyses that controlled for age, gender, years of education, annual income, IADL score, ethnicity, marital status, exercise, smoking

62. Moreover, a multivariate autoregressive analysis, which includes measures of the frequency of executions, the level of print media attention devoted to executions, and selected sociodemographic variables, produced results consistent with the Brutalization hypothesis for total homicides, as well as a variety of different types of killing involving both strangers and nonstrangers.

63. Attitudinal segments are typically formed through multivariate analytical techniques, such as cluster analysis.In summary, this is a method for defining sub-categories of a population whose survey responses exhibit similar answer patterns: Those within the same category (or segment) would share similar attitudes, while customers across different segments would tend to have different attitudes.