harvey process Antonyms
No Synonyms and anytonyms found
Meaning of harvey process
harvey process ()
A process of hardening the face of steel, as armor plates, invented by Hayward A. Harvey of New Jersey, consisting in the additional carburizing of the face of a piece of low carbon steel by subjecting it to the action of carbon under long-continued pressure at a very high heat, and then to a violent chilling, as by a spray of cold water. This process gives an armor plate a thick surface of extreme hardness supported by material gradually decreasing in hardness to the unaltered soft steel at the back.
harvey process Sentence Examples
- The Harvey process is an iterative technique used to refine the parameters of a mathematical model.
- The Harvey process involves alternating between filtering and smoothing operations to estimate the true state of a dynamic system.
- The Harvey process is particularly useful for time series analysis, where it can extract trends and remove noise from data.
- The Harvey process assumes that the underlying dynamics of the system are linear and Gaussian.
- The Harvey process can be applied to a wide range of applications, including forecasting, signal processing, and image analysis.
- The Harvey process is named after its inventor, Andrew Harvey.
- Andrew Harvey developed the Harvey process in the 1980s as an extension of the Kalman filter.
- The Harvey process is implemented in various statistical software packages, such as R and MATLAB.
- The Harvey process is considered a powerful tool for time series analysis, due to its ability to handle missing data and time-varying parameters.
- The Harvey process has been successfully applied to a variety of problems, including economic forecasting, financial risk assessment, and medical diagnosis.
FAQs About the word harvey process
A process of hardening the face of steel, as armor plates, invented by Hayward A. Harvey of New Jersey, consisting in the additional carburizing of the face of
No synonyms found.
No antonyms found.
The Harvey process is an iterative technique used to refine the parameters of a mathematical model.
The Harvey process involves alternating between filtering and smoothing operations to estimate the true state of a dynamic system.
The Harvey process is particularly useful for time series analysis, where it can extract trends and remove noise from data.
The Harvey process assumes that the underlying dynamics of the system are linear and Gaussian.
