Friday 11 July 2014

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Moving On Quotes Biography

Source Google.com.pk
a moving mean (MM)[1] or rolling mean and is a type of finite impulse response filter. Variations include: simple, and cumulative, or weighted forms (described below).
Given a series of numbers and a fixed subset size, the first element of the moving average is obtained by taking the average of the initial fixed subset of the number series. Then the subset is modified by "shifting forward"; that is, excluding the first number of the series and including the next number following the original subset in the series. This creates a new subset of numbers, which is averaged. This process is repeated over the entire data series. The plot line connecting all the (fixed) averages is the moving average. A moving average is a set of numbers, each of which is the average of the corresponding subset of a larger set of datum points. A moving average may also use unequal weights for each datum value in the subset to emphasize particular values in the subset.
A moving average is commonly used with time series data to smooth out short-term fluctuations and highlight longer-term trends or cycles. The threshold between short-term and long-term depends on the application, and the parameters of the moving average will be set accordingly. For example, it is often used in technical analysis of financial data, like stock prices, returns or trading volumes. It is also used in economics to examine gross domestic product, employment or other macroeconomic time series. Mathematically, a moving average is a type of convolution and so it can be viewed as an example of a low-pass filter used in signal processing. When used with non-time series data, a moving average filters higher frequency components without any specific connection to time, although typically some kind of ordering is implied. Viewed simplistically it can be regarded as smoothing the data.
The period selected depends on the type of movement of interest, such as short, intermediate, or long-term. In financial terms moving-average levels can be interpreted as support in a rising market, or resistance in a falling market.
If the data used are not centered around the mean, a simple moving average lags behind the latest datum point by half the sample width. An SMA can also be disproportionately influenced by old datum points dropping out or new data coming in. One characteristic of the SMA is that if the data have a periodic fluctuation, then applying an SMA of that period will eliminate that variation (the average always containing one complete cycle). But a perfectly regular cycle is rarely encountered.[2]
For a number of applications, it is advantageous to avoid the shifting induced by using only 'past' data. Hence a central moving average can be computed, using data equally spaced on either side of the point in the series where the mean is calculated. This requires using an odd number of datum points in the sample window.
A major drawback of the SMA is that it lets through a significant amount of the signal shorter than the window length. Worse, it actually inverts it. This can lead to unexpected artifacts, such as peaks in the smoothed result appearing where there were troughs in the data. It also leads to the result being less smooth than expected since some of the higher frequencies are not properly removed.
The problem can be overcome by iterating the process three times, with the window being shortened by a factor of 1.4303 at each step.[3] This removes the negation effects and provides a better behaved filter. This solution is often used in real-time audio filtering since it is computationally quicker than other comparable filters such as a gaussian kernel.
An example of an inversion defect in SMA, and its removal by means of iteration, can be seen here: http://www.woodfortrees.org/plot/rss/from:1980/plot/rss/from:1980/mean:60/plot/rss/from:1980/mean:30/mean:21/mean:15
Cumulative moving average
In a cumulative moving average, the data arrive in an ordered datum stream, and the user would like to get the average of all of the data up until the current datum point. For example, an investor may want the average price of all of the stock transactions for a particular stock up until the current time. As each new transaction occurs, the average price at the time of the transaction can be calculated for all of the transactions up to that point using the cumulative average, typically
Moving the goalposts, similar to "shifting sands" and also known as raising the bar, is an informal logically fallacious argument in which evidence presented in response to a specific claim is dismissed and some other (often greater) evidence is demanded. That is, after an attempt has been made to score a goal, the goalposts are moved to exclude the attempt.[3] The problem with changing the rules of the game is that the meaning of the end result is changed too. It counts for less.[4]
Some include this metaphor as description of the tactics of harassment. In such cases, a re-defining of another's goals may in reality be intentionally devised so as to assure that an athlete, for example, will ultimately never be able to finally achieve the ever shifting goals.[5]
In workplace bullying, shifting the goalposts is a conventional tactic in the process of humiliation.[6]
Moving the goalposts may also refer to feature creep, in which the completion of a product like software is not acknowledged because an evolving list of required features changes over time, which in extreme cases may even require rewriting the entire program. Thus, the goal of "completing" the product for a client may never occur.
The term is often used in business to imply bad faith on the part of those setting goals for others to meet, by arbitrarily making additional demands just as the initial ones are about to be met. Accusations of this form of abuse tend to occur when there are unstated assumptions that are obvious to one party but not to another.
Moving On Quotes Sad Quotes About Love That Make Your Cry and Pain Tumblr For Girls that make you cry for girls for Him for Boys That Hurts Tagalog and Pain Tumblr

Moving On Quotes Sad Quotes About Love That Make Your Cry and Pain Tumblr For Girls that make you cry for girls for Him for Boys That Hurts Tagalog and Pain Tumblr
 Moving On Quotes Sad Quotes About Love That Make Your Cry and Pain Tumblr For Girls that make you cry for girls for Him for Boys That Hurts Tagalog and Pain Tumblr
 
Moving On Quotes Sad Quotes About Love That Make Your Cry and Pain Tumblr For Girls that make you cry for girls for Him for Boys That Hurts Tagalog and Pain Tumblr 
Moving On Quotes Sad Quotes About Love That Make Your Cry and Pain Tumblr For Girls that make you cry for girls for Him for Boys That Hurts Tagalog and Pain Tumblr
Moving On Quotes Sad Quotes About Love That Make Your Cry and Pain Tumblr For Girls that make you cry for girls for Him for Boys That Hurts Tagalog and Pain Tumblr
Moving On Quotes Sad Quotes About Love That Make Your Cry and Pain Tumblr For Girls that make you cry for girls for Him for Boys That Hurts Tagalog and Pain Tumblr
 Moving On Quotes Sad Quotes About Love That Make Your Cry and Pain Tumblr For Girls that make you cry for girls for Him for Boys That Hurts Tagalog and Pain Tumblr
Moving On Quotes Sad Quotes About Love That Make Your Cry and Pain Tumblr For Girls that make you cry for girls for Him for Boys That Hurts Tagalog and Pain Tumblr
Moving On Quotes Sad Quotes About Love That Make Your Cry and Pain Tumblr For Girls that make you cry for girls for Him for Boys That Hurts Tagalog and Pain Tumblr
Moving On Quotes Sad Quotes About Love That Make Your Cry and Pain Tumblr For Girls that make you cry for girls for Him for Boys That Hurts Tagalog and Pain Tumblr 

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