In the exponential smoothing approach, an exponentially smaller weight is applied to each demand that occurred farther back in time.
Exponential smoothing is a statistic forecasting method for univariate data that may be extended to support data with a scientific trend or seasonal component.
Exponential smoothing is a rule of thumb technique for smoothing statistic data using the exponential window function. It is a strong forecasting method.
A widely preferred class of statistical techniques and procedures for discrete statistic data, exponential smoothing is employed to forecast the immediate future.
This method supports statistic data with seasonal components, or say, systematic trends where it used past observations to create anticipations.
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Answer:
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Answer:
level of innovation in a firm.
Explanation:
Patents are a result of innovations. The higher the number of patents a firm has is a pointer that the firm is very innovative.
Research on <u>"the fundamental attribution error" </u>suggests it is <u>"common"</u> for people to assume that dispositions are the underlying causes of most behaviors.
The fundamental attribution error is our tendency to clarify somebody's conduct in light of inward factors, for example, identity or air, and to think little of the impact that outside variables, for example, situational impacts, have on someone else's conduct. We may, for instance, clarify the way that somebody is jobless in view of his character, and point the finger at him for his predicament, when in certainty he was as of late laid off because of a lazy economy. Obviously, there are times when we're right about our suspicions, however the key attribution blunder is our inclination to clarify the conduct of others in light of character or air. This is especially obvious when the conduct is negative.
Answer:
Strategy
Explanation:
To persuade my audience that prescription drug advertising directed at consumers should be banned is a specific purpose statement for a persuasive speech on a question of strategy