Write short note on methods of business forecasting. what do you mean by multivariate analysis? explain how it differs from bivariate analysis.
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▪Uses for multivariate analysis include:
<>design for capability also known as capability-based design
<>inverse design, where any variable can be treated as an independent variable
Analysis of Alternatives (AoA), the selection of concepts to fulfil a customer need
analysis of concepts with respect to changing scenarios
<>identification of critical design-drivers and correlations across hierarchical levels.
<>Multivariate analysis can be complicated by the desire to include physics-based analysis to calculate the effects of variables for a hierarchical "system-of-systems". Often, studies that wish to use multivariate analysis are stalled by the dimensionality of the problem.
<> These concerns are often eased through the use of surrogate models, highly accurate approximations of the physics-based code. Since surrogate models take the form of an equation, they can be evaluated very quickly.
<> This becomes an enabler for large-scale MVA studies: while a Monte Carlo simulation across the design space is difficult with physics-based codes, it becomes trivial when evaluating surrogate models, which often take the form of response-surface equations.
▪hope help u plz mark brainlist!!
_________________________
here ur answer!!
▪Uses for multivariate analysis include:
<>design for capability also known as capability-based design
<>inverse design, where any variable can be treated as an independent variable
Analysis of Alternatives (AoA), the selection of concepts to fulfil a customer need
analysis of concepts with respect to changing scenarios
<>identification of critical design-drivers and correlations across hierarchical levels.
<>Multivariate analysis can be complicated by the desire to include physics-based analysis to calculate the effects of variables for a hierarchical "system-of-systems". Often, studies that wish to use multivariate analysis are stalled by the dimensionality of the problem.
<> These concerns are often eased through the use of surrogate models, highly accurate approximations of the physics-based code. Since surrogate models take the form of an equation, they can be evaluated very quickly.
<> This becomes an enabler for large-scale MVA studies: while a Monte Carlo simulation across the design space is difficult with physics-based codes, it becomes trivial when evaluating surrogate models, which often take the form of response-surface equations.
▪hope help u plz mark brainlist!!
_________________________
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