Learning best way to here Forecasting.pptx

learning forcast

1. INTRODUCTION Forecasting: It is the decision-making process of future events based on past analysis. TYPES

2. A.K SULTANA KNOWLEDGE SHARING FORECASTING METHODS Qualitative methods – Forecasting will be done based on the experience, without considering historical data and mathematical calculations. TYPES

3. A.K SULTANA KNOWLEDGE SHARING FORECASTING METHODS Quantitative methods– Forecasting will be done based by considering historical data and mathematical calculations. TYPES

4. A.K SULTANA KNOWLEDGE SHARING TIME SERIES ANALYSIS Time series analysis: Time series analysis is the process of collecting historical data and organizing it in a timely manner to observe, to gain insight. COMPONENTS

5. A.K SULTANA KNOWLEDGE SHARING STATIONARY TIME SERIES STATIONARY TIME SERIES: The mean, variance, co-variance will not change during the period of time.

6. A.K SULTANA KNOWLEDGE SHARING NON STATIONARY TIME SERIES NON STATIONARY TIME SERIES: The mean, variance, co-variance will change during the period of time.

7. A.K SULTANA KNOWLEDGE SHARING REGRESSION ANALYSIS REGRESSION ANALYSIS: It is the process of checking the relationship between depended and in in depended variables. There are 2 types of data set. Linear : Data point will pass through a straight line. Polynomial : Data point will not pass through a straight line.

8. A.K SULTANA KNOWLEDGE SHARING REGRESSION ANALYSIS

9. A.K SULTANA KNOWLEDGE SHARING WHITE NOISE IN TIME SERIES DATA White Noise: Is the kind of time series analysis, wherein means, variance covariance will be zero. Data will be random & with no pattern. We can not do prediction with this kind of data.

10. A.K SULTANA KNOWLEDGE SHARING THANK YOU SHARING & CARING