EViews vs. Minitab Statistical Software

High-frequency data, with frequencies of hours and seconds, is needed for the database. There are also frequency options that are multi-year, bimonthly, fortnightly, ten-day, and daily. With a large database, this kind of data can be handled with the E-Views package. Using the nonparametric kernel, this software can compute long-run variances that are symmetric or one-sided.

Incentivized

Minitab Statistical Software is used from development batches to commercial batches to identify that process is in state of control through various charts and graphs. we can optimised our process by continuous monitoring of product trends. its is less suited where large number of data need to handle and evaluate..

Incentivized

• Useful for modeling and forecasting for agribusiness research
• Data is simple to import and manipulate
• Extensive collection of econometric tools and methods

Incentivized

• Life cycle product verification and control
• Cpk value calculation and control
• Historical data evaluation and decision making based on that data.

Incentivized

• For panel data analysis, it is not robust
• There is a need to enhance table features
• Obtaining results for arbitrary maximization or minimization may not be possible using the same algorithm

Incentivized

• This to be make financially affordable
• Direct feeding of data provision need to provided
• It must be update to handle large data.

Incentivized

I would give 10 out of 10 rating due to its functionality and easy to use interface. Its included wide range of tools like graph, chart, time study graph. There is predefined inbuilt templet available for easy to use and understand process well. there is availability of vast training materials enhances our experience.

Incentivized

Time-series data analysis is very accessible with EViews. It makes data analysis easier without requiring the writing of intricate scripts. A database frequently needs long-term computations of covariance and variance, where the errors are randomly distributed and represent a specific kind of sequence. For regression, time series analysis, and other statistical tasks, I found time series to be useful in my agribusiness research.

Incentivized

• Numerous effective and potent statistics for our research project can be obtained
• Can perform powerful functions with data if they comprehend the statistical and mathematical theory underlying forecasting
• can carry out a wide range of statistical analyses, time series modeling, forecasting, and data manipulation tasks for our research project

Incentivized

• We could control our process and its continuous monitoring that reduce process failure chances.
• It helpful in database decision making process like rejection or acceptance of batch.
• Process is improved and productivity increased.

Incentivized