MSE_Regression

Index of /MSE_Regression

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Fityk

Fityk is a curve fitting and data analysis application, predominantly used to fit analytical, bell-shaped functions to experimental data. It is positioned to fill the gap between general plotting software and programs specific for one field, e.g. crystallography or XPS.
Originally, Fityk was developed to analyse powder diffraction data. It is also used in other fields that require peak analysis and peak-fitting, like chromatography or various kinds of spectroscopy.
Fityk is distributed under the terms of GNU General Public License, but since version 1.0.0, subscription is required for downloading binaries. It runs on GNU/Linux, Mac OS X, Microsoft Windows, FreeBSD and other platforms. It operates either as a command line program or with a graphical user interface.
It is written in C++, using wxWidgets, and providing bindings for Python and other scripting languages.
Versions 0.9.8 and older are free: downloads

Address : <http://fityk.nieto.pl/>
Address : <https://en.wikipedia.org/wiki/Fityk>

MagicPlot

MagicPlot is a technical plotting, curve fitting and data analysis application. It provides a wide usage of the graphical user interface for data exploration as well as various statistical analysis tools, peak fitting options, raster or vector formats of publishable plots.
MagicPlot is a commercial software. The limited functional trial version is also available.
MagicPlot Pro
Full-featured version
From $198 per computer
Free trial available

MagicPlot Student
Limited functionality
Free for personal and
educational use only
MagicPlotStudent.exe 1.8 MB
What is disabled here?
- Vector image export
- Custom fit equations
- Data processing
- Multiple axes
- Drawing
- Figure templates
- Batch processing

Graphic MagicPlot example

Review. An irreplaceable tool in the arsenal of any math student, researcher, scientist or engineer, MagicPlot Pro is a compact, powerful and efficient program for plotting, curve fitting and visual data analysis. Created by scientists for scientists, the software offers an unprecedented set of features and best-in-class flexibility for precise manual and automatic data analysis. A comprehensive set of graph editing tools makes it manifold easier to apply your creativity and knowledge, while a powerful multi-level undo/redo feature facilitates experiments and test fits, allowing you to make mistakes and roll-back to the previous step at any second. MagicPlot Pro supports export and import of values from CSV files via a convenient wizard with instant data preview, comes with a powerful integrated scientific calculator and automatically recalculates formulas following the updates of input data. This compact 2 MB program was written in Java and runs on any system with a Java virtual machine installed on it with no installation required. The program features a modern user interface supporting configurable opacity of all elements, Unicode encoding, ultra-fast rendering of complex graphs with no flickering, and simultaneous display of multiple anti-aliased graphs with thousands of dots. MagicPlot Pro offers nearly unlimited flexibility in exploring graphs, zooming in and out, scrolling, modifying data ranges and doing a lot more to get the job done faster.
   MagicPlot Pro is exactly what you need for convenient and efficient data analysis, non-linear curve fitting and plotting. Compact, fast and truly universal, this great tool will become your reliable aide for tasks of any complexity level.


Links
Address : <http://3d2f.com/smartreviews/1-790-magicplot-pro-an-all-in-one-plotting-and-visual-analysis-tool-for-researchers-and-engineers-read.shtml>
Address : <http://magicplot.com/>
Address : <https://en.wikipedia.org/wiki/MagicPlot>

From Curve Fitting to Machine Learning

From Curve Fitting to Machine Learning: An Illustrative Guide to Scientific Data Analysis and Computational Intelligence
Achim Zielesny
Springer, May 15, 2016 - Computers - 498 pages

This successful book provides in its second edition an interactive and illustrative guide from two-dimensional curve fitting to multidimensional clustering and machine learning with neural networks or support vector machines. Along the way topics like mathematical optimization or evolutionary algorithms are touched. All concepts and ideas are outlined in a clear cut manner with graphically depicted plausibility arguments and a little elementary mathematics.The major topics are extensively outlined with exploratory examples and applications. The primary goal is to be as illustrative as possible without hiding problems and pitfalls but to address them. The character of an illustrative cookbook is complemented with specific sections that address more fundamental questions like the relation between machine learning and human intelligence.All topics are completely demonstrated with the computing platform Mathematica and the Computational Intelligence Packages (CIP), a high-level function library developed with Mathematica's programming language on top of Mathematica's algorithms. CIP is open-source and the detailed code used throughout the book is freely accessible.The target readerships are students of (computer) science and engineering as well as scientific practitioners in industry and academia who deserve an illustrative introduction. Readers with programming skills may easily port or customize the provided code. "'From curve fitting to machine learning' is ... a useful book. ... It contains the basic formulas of curve fitting and related subjects and throws in, what is missing in so many books, the code to reproduce the results.All in all this is an interesting and useful book both for novice as well as expert readers. For the novice it is a good introductory book and the expert will appreciate the many examples and working code". Leslie A. Piegl (Review of the first edition, 2012).
Address : <https://books.google.com.mx/books?id=ct_7CwAAQBAJ&source=gbs_navlinks_s>

Applications of Microsoft Excel in Analytical Chemistry

Applications of Microsoft Excel in Analytical Chemistry

F. James Holler, Stanley R. Crouch
Cengage Learning, Feb 27, 2013 - Science - 480 pages
This supplement can be used in any analytical chemistry course. The exercises teaches you how to use Microsoft Excel using applications from statistics, data analysis equilibrium calculations, curve fitting, and more. Operations include everything from basic arithmetic and cell formatting to Solver, Goal Seek, and the Data Analysis Toolpak. The authors show you how to use a spreadsheet to construct log diagrams and to plot the results. Statistical data treatment includes descriptive statistics, linear regression, hypothesis testing, and analysis of variance. Tutorial exercises include nonlinear regression such as fitting the Van Deemter equation, fitting kinetics data, determining error coefficients in spectrophotometry, and calculating titration curves. Additional features include solving complex systems of equilibrium equations and advanced graphical methods: error bars, charts with insets, matrices and determinants, and much more.
Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
Address : <https://books.google.com.mx/books?id=OcAWAAAAQBAJ&dq=Applications+of+Microsoft+Excel+in+Analytical+Chemistry&source=gbs_navlinks_s>