Features

Match observations from multiple time series data sets

• Similar method to a left join database operation
• Matching is done between observations that are closest in time
• Adjustable maximum allowable time difference between matching observations

Create linear regression models

• Ordinary least squares regression models
• Quickly change the variables used in the regression
• No limit on the number of variables used in the linear model
• No restrictions to which variables must be used
• Ability to exclude observations used in the model

Compute ADVM backscatter parameters

• Modify ADVM configuration parameters
• Adjust backscatter values and cell range used in the computation
• Near field correction

View backscatter profiles

• Plots of measured, water corrected, and sediment corrected backscatter against distance along acoustic axis of beam
• Simultaneously view multiple observations

View linear model diagnostic statistics and plots

• Diagnostic statistics
  • Standard linear regression diagnostic statistics
  • Probability plot correlation coefficient
  • Non-parametric smearing bias correction factor
• Plots
  • SLR scatter plots in transformed and linear space
  • Partial residual plots for MLR
  • Model residual
    • Raw vs. fitted
    • Probability
    • Standardized serial correlation

Export model information

• Save model information as a MATLAB MAT-file
• Write model information as a csv file

Generate a predicted time series