- published: 25 Feb 2015
- views: 7133
Managerial Economics; Management; Demand Forecasting | Techniques of Demand Forecasting; Introduction 00:00:00- 00:00:40 Demand Forecast 00:00:41- 00:02:15 *What is meant by demand forecasting? *The importance of demand forecast How to Forecast Demand? 00:02:16- 00:23:16 *Various steps for demand forecasting *Techniques of demand forecasting - Survey methods: - consumer survey and opinion poll - Statistical methods:- trend method, barometric projection and econometric method *Different subcategories under these methods *How to conduct ‘market studies and experiment’ (opinion poll method)? Conclusion 00:23:18- 00:23:27 Video by Edupedia World(www.edupediaworld.com), Free Online Education; Click here https://www.youtube.com/playlist?list=PLJumA3phskPFwp2XXInxCWpv28nPMimDU for m...
In this video, you will learn how to find out the 3 month and 4 monthly moving average for demand forecasting.
Video tutorial of forecasting using linear trend line projection
In this video, you will learn how to find the demand forecast using linear regression.
Download file from “Highline BI 348 Class” section: https://people.highline.edu/mgirvin/excelisfun.htm Learn: 1) (00:11) Forecasting using Regression when we see a trend and belief the trend will extend into the future. Will will predict outside the Experimental Region with the Assumption is that trend continues into future. 2) (00:53) Forecast a Trend using Simple Liner Regression. We use the Data Analysis Regression Feature. 3) (03:22) Learn how to use FORECAST function. 4) (08:57) Forecast a Seasonal Pattern using Multiple Regression and three Categorical Variables for quarter using Multiple Linear Regression. We use the Data Analysis Regression Feature. 5) (12:12) VLOOKUP & MATCH functions with Mixed Cell References to populate new categorical variable columns with the Boolean ones and...
Part 2: http://www.youtube.com/watch?v=5C012eMSeIU&feature=youtu.be Part 3: http://www.youtube.com/watch?v=kcfiu-f88JQ&feature=youtu.be This is Part 1 of a 3 part "Time Series Forecasting in Excel" video lecture. Be sure to watch Parts 2 and 3 upon completing Part 1. The links for 2 and 3 are in the video as well as above.
Subscribe here: http://bit.ly/ODNsubs Artist Nobumichi Asai has found a way to project and map expressions onto people's faces, effectively creating a visual facial mask. He and his team displayed their three-dimensional facial projection mapping system to a select group of spectators in Tokyo. The team drew inspiration from the sense of beauty inherent in traditional Japanese culture, animation and technology. But they quickly discovered that simply projecting a totally symmetrical face seen typically in video games would produce a 'barbie doll' look, killing the realism, so they instead designed a face asymmetrically, introducing subtle flaws. Asai and his team are currently looking for funding to take the project, to the next level and are considering how they might be able to project o...
http://www.driveyoursuccess.com This video provides insight into how using PERT: Project Evaluation & Review Technique can help small businesses improve their sales forecasting accuracy. It provides some simple steps to using PERT as a formula to improve sales forecasting.
Naive forecast, moving average, weighted moving average, and exponential smoothing with monthly data and excel.
this was a project for Electrical Energy systems subject where we had a one year historical data and we developed a model to forecast 24 hours loads of one day ahead please use 720(HD) quality and Full screen for better reading. To get the code, please contact me: firstname.lastname@example.org or email@example.com
Using dummy variables and multiple linear regression to forecast trend and seasonality
Forecast Accuracy Calculating the Absolute Error The Mean Absolute Error has strong capabilities for assessing forecast accuracy in the context of inventory optimization and it is very simple to calculate and use. The Absolute Error is the absolute difference between forecasted and actual value in number of items. Intuitively, we can think of the Absolute Error as the number of items the forecast is off from what actually happens. Absolute means that the formula disregards whether the forecast is too high, or too low, all that counts is by how many items the forecast is off the actual value, negative algebraic signs are therefore not regarded. Calculating MAPE MAPE stands for Mean Absolute Percentage Error. We arrive at MAPE by dividing the Absolute Error by the forecasted v...