SoftGuide > Functions / Modules Designation > Extrapolation procedure

Extrapolation procedure

What is meant by Extrapolation procedure?

"Extrapolation methods" are statistical techniques used to estimate or predict future values or trends based on existing data. These methods are commonly used in various fields such as economics, politics, market research, and demography to create forecasts and support decision-making processes.

Typical functions of software in the field of "extrapolation methods" include:

  1. Data preparation: Importing, preprocessing, and cleaning data from various sources for analysis.

  2. Modeling: Applying various statistical models and methods to estimate future values or trends.

  3. Parameter adjustment: Adjusting model parameters to fit the available data and improve the accuracy of predictions.

  4. Prediction generation: Generating predictions or estimates based on the applied extrapolation methods.

  5. Validation: Checking the accuracy and reliability of the generated predictions by comparing them to actual data or historical values.

Examples of extrapolation methods include:

  1. Linear regression
  2. Time series analysis
  3. ARIMA model (Autoregressive Integrated Moving Average Model)
  4. Exponential smoothing
  5. Monte Carlo simulation
  6. Logistic regression

 

The function / module Extrapolation procedure belongs to:

Statistics/Forecast

analyses of covariance
Article hit and rivet lists
Bayesian analysis
Before-and-after comparisons
Budget information
Business Impact Analysis
Capacity evaluations
Cashier hit list
Classification and prediction
classification and regression trees
Cluster analyses
Clustering
Collaborative Planning
combinatorial problems
comparative statistics
Container accounting
Correlation matrix
Correlations
Cost analysis and budget control
Course participant and learning statistics
Course statistics
Customer and sales data analysis
Customer evaluations
Customer statistics
Econometric and statistical analyses
Energy price analysis
Error analysis
Excel export
Financial market statistics
Financial reporting
Fluctuation statistics
forecast result
Forecasting
Forecasting and planning
Gibbs sampling
Key figure simulations
KTL evaluation
Linked data management
liquidity analysis
Management evaluations
Mandate analysis
matrix calculus
Mean values
Measurement data
Metropolis algorithm
Movement profiles
Network Statistics
Order tracking
Performance analysis
Permutation test
Personnel key figures
Plausibility check
predictions and model simulation
Predictive analytics
Predictive Modeling
previous year view
Probabilities of occurrence
Probability analysis
Probability distributions
Probability functions
Projection comparison
Random generator
Regression analysis
Regressions or equalization calculations
Resume analysis
Risk analysis
Sales comparisons
Sales hit lists
Sales lists
Sales statistics
Sales statistics
Sampling system
Seller hit list
Sequence analysis
Shopping cart analysis
Signal statistics
Six Sigma
Statistical Analysis
statistical calculations
statistical cost planning
statistical methods
Time data, time series, calendar
Time series analyses
Travel expenses
Trend value analyses
Utilization analysis according to loss classes
Weighting functions
What-if analyses

Software solutions with function or module Extrapolation procedure: