Question: A repeatable pattern of increases or decreases in demand, depending on periods of time of more than one year is a time series pattern called

A repeatable pattern of increases or decreases in demand, depending on periods of time of more than one year is a time series pattern called O Cyclic Random Trend Seasonal The percentage of error related to y is used to measure: Moving average period O Sample size O Forecast accuracy O Exponential smoothing In time-series analysis, which source of variation can be estimated by the ratio to-dependent variable method? Seasonal O Cyclic o Irregular Trend There are three groceries Shops operatin rural DCDR Anme Emporiumond MICR BIGR Groceries Assume that the transition probabilities are as follows To From Maharaja Ahmed's Quick Stop Maharaja Store IL 0.88 0.08 Ahmed's Emporium 0.06 0.82 Quick Stop Groceries 0.04 0.07 TT IL Calculate 11 - Maharaja's steady-state probability Use 4 digits after decimal point for example answer should be similar to 9.1234 In a Markov chain, the probability that the process will be in a particular state at any time period depends on the states in all the preceding time periods only on the state in the immediately preceding time period none of the above alternatives is correct Answer on the state in only two immediately preceding time periods

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