Curve Fitting Features Available in NCSS

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
Upgrade Available

from NCSS 2004:
$249.95
from Earlier Versions:
$349.95

NCSS 2007 is now available. This version adds several new procedures and features to NCSS, including mixed models, macros, and an enhanced user interface. Here is a summary of the new procedures, tools, and features:

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

Read about what’s new in NCSS 2007.

View the upgrade brochure.
View the NCSS 2007 brochure.

Download an NCSS Update
Current Version:
NCSS 2007
Released June 29, 2009

What's changed in this release?

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

Download a 7-day trial copy of NCSS 2007

Place an order using our secure online order form

System Requirements
Runs under Windows Vista, XP, 2000, NT, ME, 98, 95 compatible Pentium-class computers with at least 32 MB of RAM. Requires 200 MB of hard disk space. Requires Adobe Reader® version 7 or later to use the NCSS, PASS, and GESS Help Systems.

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 is one of the most accurate statistical analysis programs available. NCSS calculates 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)--no questions asked.