His topics include experimental and quasi-experimental research, univariate statistics, bivariate
analysis comparing two groups, multivariate analysis using regression models to look at the relationship between several predictors and one dependent variable, and using analysis of variance to compare more than two groups.
analysis, elements of scope of practice associated with higher burnout rates included providing more procedures/clinical content areas (mean procedures/clinical areas: 7.49 versus 7.02) and working in more settings than the principal practice site (one or more additional settings: 57.6 versus 48.4 percent), specifically, in the hospital (31.4 versus 24.2 percent) and patient homes (3.3 versus 1.5 percent).
Their work involved simulating several pairs of random variables and selecting an appropriate bivariate
In order to capture the impact of covariates on two types of censored accidents simultaneously, a new Bayesian bivariate
Tobit QR is proposed in this study.
The data collected was analyzed by using frequency analysis, stratified analysis and logistic analysis procedures, i.e., multivariate logistic regression with backward elimination, bivariate
logistic regression and after controlling the age and herd as a constant factor.
Results of this study indicate that cross-sectional study design, bivariate
inferential statistical analysis entailing comparison between two variables/groups, and use of statistical software programme SPSS to be the most common study design, inferential statistical analysis, and statistical analysis software programmes, respectively.
In this paper, we use bivariate
polynomials to propose a new type of secret-sharing scheme, called protected secret-sharing (PSS), in which shareholders can use their shares to achieve two purposes simultaneously: one is to reconstruct the original secret and the other is to establish a shared key between every pair of shareholders.
Geo-statistical analyses such as univariate, bivariate
and multivariate statistical analyses and geo-spatial analyses were performed on the data using various softwares.
1549) were utilized to fit a bivariate
and multivariate investigation with Generalized slightest Modeling (GLM), anticipating determinants of lifetime fertility utilizing Poisson regression.
The basic solution is to use bivariate
count models [14-16].
The construction of univariate subdivision schemes by different variants of Lane-Riesenfeld algorithm has been studied by few authors in [8, 11-13] and construction of bivariate
subdivision schemes by a variant of Lane-Riesenfeld algorithm has been studied by Romani .