1. Compute a moving average in SAS - The DO Loop


    How do you compute a moving average in SAS? This article uses PROC EXPAND and provides links to DATA step programs and macros.

  2. Computationally Efficient Moving Average for Microcontrollers


    Computationally Efficient Moving Average for Microcontrollers. The best way to remove noise and smooth out sensor data is to compute a moving average.

  3. Moving average - Wikipedia


    In statistics, a moving average (rolling average or running average) is a calculation to analyze data points by creating series of averages of different subsets of ...

  4. Computational tools — pandas 0.21.0 documentation


    Percent Change¶ Series, DataFrame, and Panel all have a method pct_change to compute the percent change over a given number of periods (using fill_method

  5. Average Cost Inventory Method - YouTube


    8/31/2014 · This video explains how to use the average cost method to calculate cost of goods sold and ending inventory. An example is presented to illustrate how the ...

  6. Microsoft Dynamics AX 2012 White Paper: Moving Average


    3/13/2013 · A new inventory model has been introduced in Microsoft Dynamics AX that is based on the moving average method. Moving average is an inventory valuation ...

  7. Calculating Weighted Moving Average in SQL - SILOTA


    As before, we chart the quarterly revenues of Amazon for the years 2001 to 2008, We are going to calculate a 4-period moving average. A simple way to compute the ...

  8. algorithm - How to calculate simple moving average faster ...


    What is the fastest library/algorithm for calculating simple moving average? I wrote my own, but it takes too long on 330 000 items decimal dataset. period / time(ms ...

  9. Finite impulse response - Wikipedia


    In signal processing, a finite impulse response (FIR) filter is a filter whose impulse response (or response to any finite length input) is of finite duration ...

  10. Exploring The Exponentially Weighted Moving Average


    Learn how to calculate a metric that improves on simple variance.