|
Data Analysis Extension Pack for Mathcad - For Academic Use
Our price: £ 70.00 **
£ 80.50 inc. VAT
ADD TO BASKET
Product Code: MAT-EDA-ED
Platform: NA
Availability: Usually dispatched within 5 to 10 working days
 |
This item qualifies for FREE DELIVERY (UK mainland ONLINE orders only).
|
 |
You must be from an Educational establishment, or degree awarding body to qualify for education pricing. Please fax through details on +44 (0)1462 480213 as a follow up to your order. |
 |
If you have an Athens login please CLICK HERE to see if your institution has a chest licence
that allows you to purchase personal copies of software at a greatly reduced price.
|
|
Description:
Coupled with Mathcad, the Data Analysis Extension Pack provides a powerful design solution for analysing data patterns and relationships. This extension pack provides new functionality that expands Mathcad?s capabilities in function fitting and statistical analyses of data, improves data input and output features, and adds batch processing capabilities and new statistical plotting tools. In addition, this add-on:
- Offers the latest technology in fitting algorithms for quicker, more robust, more accurate solutions.
- Enables importing of multiple and large-scale files in a variety of formats, including an interactive data preview wizard to help import complicated or non-standard formats correctly.
- Adds usability features for managing and searching data matrices.
- Demonstrates techniques for managing data effectively in Mathcad.
Key Features
- More optimisation routines for solving linear and non-linear systems of equations.
- Complete library of data analysis functions, including utilities, statistics, outliners, regression and interpolation routines.
- File writing functions that can be used in program loops.
- Flexible nonparametric fitting algorithms (interpolation) using statistical methods to create optimal solutions.
- Robust, generalized parametric nonlinear fitting functions, such as support weighting and constraints.
- PrincipAl Component Analysis functions for multivariate data using the Nipals algorithm.
- Probability plots, including normal and Weibull.
- Confidence limits and demonstration of ANOVA for fitted parameters.
|
|
|
|
|
