NCSS

Curve Fitting

Introduction

Curve fitting refers to nonlinear-regression techniques for fitting curved lines to X-Y data. You can select a standard model from the large list of pre-coded models or you can enter your own. If you do not have a specific model in mind, the program can search through hundreds of possible models looking for the one that best fits your data. The program will fit models with up to four independent variables. You can compare the fitted equations across groups of data using randomization tests and bootstrap confidence intervals.

Features

> Bleasdale-Nelder model
> Bootstrap confidence intervals
> Double-Exponential model
> Exponential model
> Farazdaghi model
> Gompertz models
> Goodness of fit measures
> Group comparisons
> Holliday model
> Logistic model Lognormal model
> Marquart algorithm
> Michaelis-Menten
> Monomolecular model
> Morgan-Mercer model
> Nonlinear regression
> Normal model
> Piecewise polynomials
> Probability plots
> Randomization test
> Ratio of polynomials
> Reciprocal model
> Richards model
> Scatter-plot matrix
> Search for best fit
> Sum of functions regression
> Transformation bias correction
> User-supplied models
> Weibull model

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NCSS 2007

NCSS 2007 is now available. This version adds several new procedures and features to NCSS, including mixed models, macros, and an enhanced user interface.

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Read about what’s new in
NCSS 2007.

Procedures
Mixed Models
Circular Data Analysis
Data Matching - Optimal and
  Greedy

Data Simulator
Data Stratification
Double Dendrograms
Merging Two Databases
Multiple Regression with Serial
  Correlation Correction

Nondetects Analysis
Nondetects Regression

Tools
Macros (Programmability)
Color Selection Windows
Quick Launch Window

Features
Enhanced User Interface
Improved Help System

Click here for the complete list of procedures.


Download an
NCSS Update

Most Recent Version:
NCSS 2007
Version 07.1.21

Released June 1, 2011

Update

What problems have been fixed by recent NCSS updates?


Sample NCSS Reports

Click here for the complete list.

Analysis of Variance
Appraisal Methods
Binary Diagnostic Tests
Charts and Graphs
Cross Tabulation
Curve Fitting
Descriptive Statistics
Design of Experiments
Forecasting
General Linear Models
Meta-Analysis
Multivariate I
Multivariate II
Proportions
Quality Control
Regression Analysis
Reliability Analysis
Repeated Measures
ROC Curves
Survival Analysis
Time Series Analysis
T-Tests

Minimum System Requirements
Click on one of the links below to view the minimum system requirements for NCSS and PASS products:
PASS 11
PASS 2008
NCSS 2007
Previous Versions

Accuracy
We at NCSS have put a great deal of effort into finding the most accurate algorithms possible. The programs have been tested and verified over and over, both by us and by our customers. Each routine has been verified against textbooks, journal articles, and, where possible, other software. NCSS and PASS are some of the most accurate statistical analysis programs available. NCSS and PASS calculate with seventeen-digit, double-precision accuracy.

Guarantee
If you are not completely satisfied with an NCSS product during the first 30 days for any reason, return the program for a full, prompt refund (excluding shipping).

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