- published: 25 Feb 2015
- views: 28230
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...
Video tutorial of forecasting using linear trend line projection
The forecast function in MS Excel can be used to forecast sales, consumer trends and even weight loss! For more details: http://www.familycomputerclub.com/excel/forecast-function-in-excel.html Get the book Excel 2016 Power Programming with VBA: http://amzn.to/2kDP35V If you are from India you can get this book here: http://amzn.to/2jzJGqU
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...
In this video, you will learn how to find the demand forecast using linear regression.
In this video, you will learn how to find out the 3 month and 4 monthly moving average for demand forecasting.
This is an overview of some basic forecasting methods. These basic forecasting methods are broken into two categories of approaches: quantitative and Qualitative. Quantitative forecasting approaches use historical data and correlative association to make forecasts. Qualitative forecasting approaches look at the opinions of experts, consumers, decision makers and other stakeholders. This video is about basic forecasting methods and covers 9 of the most common approaches. Avercast forecasting software makes good use of these approaches, and is powered by over 200 algorithms. Visit http://www.avercast.com/ for more information on our leading forecasting software.
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...
By popular demand, here is the animation for the "The fatalist", used as a video backdrop on Dark tranquillity's 2010 shows. Painted by Niklas Sundin using Alchemy 0.0.8, screen grabbed and then time stretched to 10-20 times the original painting speed. To see the projection in live action, look to the right.
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.
Full course: http://courses.corporatefinanceinstitute.com/courses/fpa-rolling-12-month-cash-flow-forecast-course Master the art of building a rolling 12-month cash flow forecast model in our Financial Planning & Analysis (FP&A) course. In this course you will learn to build a cash flow model from scratch complete with assumptions, financials, supporting schedules and charts.
Naive forecast, moving average, weighted moving average, and exponential smoothing with monthly data and excel.
Learn how to use exponential smoothing to forecast future needs in Excel 2013 for Time Series Analysis. Exponential Smoothing forecasts demand in the next time period by taking into account the actual demand in the current period and the forecasted demand for the current time period. Please visit (and subscribe to) my YouTube Channel to view methods of forecasting such as the Simple Moving Average and Weighted Moving Average methods.
Video tutorial of forecasting using linear trend line projection
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.
Presenter: Prof Rob J Hyndman Slides available: http://robjhyndman.com/talks/melbournerug/ Melbourne R Users: http://www.meetup.com/MelbURN-Melbourne-Users-of-R-Network/ Other R User Group Videos: http://www.vcasmo.com/user/drewconway Info on upcoming book: http://robjhyndman.com/researchtips/fpp/ I will look at the various facilities for time series forecasting available in R, concentrating on the forecast package. This package implements several automatic methods for forecasting time series including foreasts from ARIMA models, ARFIMA models and exponential smoothing models. I will also look more generally at how to go about forecasting non-seasonal data, seasonal data, seasonal data with high frequency, and seasonal data with multiple frequencies. Examples will be taken from my own con...
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...
A brief Excel demonstration of solving a forecasting problem with seasonality.
How to do a moving average forecast in Excel.
Matthew Shum of Cal Tech discusses the use of machine learning ideas in the estimation of discrete choice models, the workhorse model of demand in economics and marketing. He demonstrated the use with large, high-dimensional data sets now available from online markets and large retailers.
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