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In multivariate time series, the prominent method of regression analysis is Vector Auto-Regression (VAR). It is important to understand VAR for more clarity.
exploratory model analysis, STATA for data analysis, time series analysisNvivo coding query eases the understanding of nodes and their interconnections. Given the vast array of nodes generated, researchers find it difficult to connect two nodes.
nvivo analysis, nvivo moduleCluster analysis serves as an extension to qualitative data representation through data visualisation. It is an exploratory technique for visualising patterns in a study by grouping sources or nodes.
nvivo data representation, nvivo moduleBootstrap and jackknife are superficially similar statistical techniques that involve re-sampling the data. They are nonparametric and specific resampling techniques that can estimate standard errors and confidence intervals of a population parameter.
estimation in supervised learning, Supervised learningThis article explains the data entry methodology, for performing meta-analysis on the outcomes of studies having a single group. For this purpose, the single group of patients who were administered drug treatment will be taken into consideration.
CMA, CMA analysisAs seen the relative weighting of studies in the two models are quite different. The random effects model takes into account both the interstudy variance and sample size, resulting in well-distributed weight.
CMA, CMA analysisThe Comprehensive Meta-analysis (CMA) software is a user-friendly and diverse software. It is capable of handling and executing multiple tests involved in performing Meta-analysis.
CMA, CMA introductionLinear discriminant model is a multivariate model. It is used for modeling the differences in groups. In this model a categorical variable can be predicted through continuous or binary dependent variable.
classification in supervised learning, Supervised learning