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Exponential smoothing. Exponential smoothing or exponential moving average (EMA) is a rule of thumb technique for smoothing time series data using the exponential window function. Whereas in the simple moving average the past observations are weighted equally, exponential functions are used to assign exponentially decreasing weights over time.
Generalised cost. In transport economics, the generalised cost is the sum of the monetary and non-monetary costs of a journey. [1] [2] It is sometimes used as a basis for judgements of transit accessibility and equitable distribution of public transit resources. [3]
In statistics, a moving average ( rolling average or running average or moving mean[ 1] or rolling mean) is a calculation to analyze data points by creating a series of averages of different selections of the full data set. Variations include: simple, cumulative, or weighted forms. Mathematically, a moving average is a type of convolution.
The simple moving average (SMA) is a literal average of prices over time. Taking the example of a 200-day simple moving average, you would add up the closing price of the stock over the past 200 ...
Cost price. Cost price is also known as CP. cost price is the original price of an item. The cost is the total outlay required to produce a product or carry out a service. Cost price is used in establishing profitability in the following ways: Selling price (excluding tax) less cost results in the profit in money terms.
Average cost. In economics, average cost ( AC) or unit cost is equal to total cost (TC) divided by the number of units of a good produced (the output Q): Average cost is an important factor in determining how businesses will choose to price their products.
A standard way of viewing these costs is per unit, or the average. Economists tend to analyse three costs in the short-run: average fixed costs, average variable costs, and average total costs, with respect to marginal costs. The average fixed cost curve is a decreasing function because the level of fixed costs remains constant as the output ...
The Double Exponential Moving Average (DEMA) indicator was introduced in January 1994 by Patrick G. Mulloy, in an article in the "Technical Analysis of Stocks & Commodities" magazine: "Smoothing Data with Faster Moving Averages" [1] [2] It attempts to remove the inherent lag associated with Moving Averages by placing more weight on recent values.