Variance Analysis Task
(Redirected from variance analysis)
Jump to navigation
Jump to search
A Variance Analysis Task is an analysis task that attempts to find reasons that actual figures were the over or under forecast so that either.
- Example(s):
- See: Data Analysis Task, Data Variance, PCA, ANOVA, Multiple Comparisons Problem, Mean-Variance Analysis.
References
2016
- (Wikipedia, 2016) ⇒ http://wikipedia.org/wiki/Analysis_of_variance Retrieved:2016-4-14.
- Analysis of variance (ANOVA) is a collection of statistical models used to analyze the differences among group means and their associated procedures (such as "variation" among and between groups), developed by statistician and evolutionary biologist Ronald Fisher.
2015
- https://www.business-case-analysis.com/budget.html#budget-variance-analysis
- QUOTE: A variance (difference between actual and forecast figures) is a signal to management that revenues or spending did not go according to plan. If the variance represents overspending, moreover, it is an indicator that there may be problems paying future expenses. Variance analysis attempts to find the reasons that actual figures were over or under forecast so that either
- Corrective action can be taken to reduce variances in the future, (an exercise in static budgeting) or
- Figures for future spending can be adjusted as necessary (the practice of flexible budgeting).
- QUOTE: A variance (difference between actual and forecast figures) is a signal to management that revenues or spending did not go according to plan. If the variance represents overspending, moreover, it is an indicator that there may be problems paying future expenses. Variance analysis attempts to find the reasons that actual figures were over or under forecast so that either
2013
- http://www.simkover.com/search2.shtml?search=Variance%20analysis
- QUOTE: Variance analysis - This term normally refers to the reasons for the variances between actual financial statement data and the corresponding budget or prior year data.
2010
- http://stats.stackexchange.com/questions/222/what-are-principal-component-scores
- QUOTE: Principal component analysis (PCA) is one popular approach analyzing variance when you are dealing with multivariate data.
2002
- (Alexander & Baptista, 2002) ⇒ Gordon J. Alexander, and Alexandre M. Baptista . (2002). “Economic Implications of Using a Mean-VaR Model for Portfolio Selection: A Comparison with Mean-variance Analysis." Journal of Economic Dynamics and Control, 26(7).
2001
- (Engelbrecht, 2001) ⇒ Andries P. Engelbrecht. (2001). “A New Pruning Heuristic based on Variance Analysis of Sensitivity Information.” In: IEEE Transactions on Neural Networks, 12(6).