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Distribution Analyzer Software

Version 1.2 for Windows 2000, XP, Vista and
7, including the 64-bit versions.
What is Distribution Analyzer?
Distribution Analyzer is a shareware software
package for identifying a distribution that best fits a set of data and for
estimating expected ranges for future values. It provides a means of
performing Normal Tolerance Intervals (K-intervals) and Variables Sampling Plans
on data that does not fit the normal distribution. The analysis performed
includes:
- Selection of Best Fit Distribution and Estimation of Parameters
- Test of Whether Selected Distribution Adequately Fits the Data
- Determination of a Transformation (Function) That Can be Applied to Data
so that Transformed Data Fits the Normal Distribution
- Construction of Tolerance Intervals Including a Specified Percentage
of the Future Values (Normal Tolerance Interval)
- Confidence Statements for Percentage of Future Values in Spec (Variables
Sampling Plan)
Take an example of break force values show below. There is a lower spec
limit of 4 pounds:

An initial analysis of the data is shown below. By default, the normal
distribution is assumed. The best fit normal distribution is shown in blue
along with a histogram of the data. The Test of Fit indicates the normal
distribution does does not adequately fit this set of data.

Clicking the Find Best Distribution button, identifies the Largest Extreme
Value family of distributions as the best fit. The analysis for this
distribution is shown below. The Test of Fit passes, so the Largest
Extreme Value Distribution adequately fits the fit and can be used as the basis
of further analysis.

Having passed the Test of Fit, ranges for future values are provided.
First is the Tolerance Interval:
"With 95% confidence more than 99% of the values are
above 5.07."
This is akin to the Normal Tolerance Interval or K-Interval but does not
assume normality.
The second is relative to the spec limits:
"With 95% confidence less than 0.0031% of the values
are out of spec."
This is akin to a variables sampling plan but does not assume normality.
Capabilities
-
Can quickly find the distribution that best fits
the data
-
Includes the following basic distributions:
-
Beta distribution
-
Exponential and Negative Exponential
distributions
-
Largest Extreme Value family:
-
Smallest Extreme Value family:
-
Gamma and Negative Gamma distributions
-
Johnson Family of distributions
-
Logistic family
-
Lognormal and Negative Lognormal
distributions
-
Normal distribution
-
Pearson Family of distributions
-
Uniform distribution
-
The above distributions include, as special
cases, Chi-Square, Erlangian, Fisk, Log Exponential.
-
In addition, log-distributions are included for
all the above distributions (log-Beta, log-Weibull, ...)
-
Fit Distributions Using Methods of Moments and
Maximum Likelihood (using restrictions that ensure data and spec limits are
within the range of bounded distributions).
-
Test whether distribution adequately fits the
data
-
Generate tolerance interval for future values and
confidence interval for percentage of future values in spec.
-
Generate random values for all the above
distributions
-
Display Skewness-Kurtosis plots to understand
relationships between distributions
-
Calculate probabilities and percentiles of the
above distributions
Advantages
-
Simple to use. Novice users can just enter
the data and click on at most 3 buttons. You don't have to be familiar
with all the distributions.
-
You don't have to know Greek. All
distributions are represented by their moments (average, standard deviation,
skewness, ...). It is easy to compare distributions and generate
random numbers from different distributions with the same mean, standard
deviation, skewness, etc.
-
Complete control. Advanced users can
specify distributions to use, specify bounds and parameters of the
distribution. You can see the parameters of the distribution as
moments or in Greek form.
-
Capabilities not found anywhere else
-
Confidence statements relative to the
percent in spec
-
Wider range of distributions than any other
package
-
Handles bounded distributions and bounds on
data to ensure meaningful results (the spec limits are always
within the range of the distribution).
Download Software - 30 Day Free Trial
Distribution Analyzer
is a shareware program. A full
version of the software can be downloaded for a 30-day free trial. After 30 days, if
you want to continue using the software, you must register it at a
cost of US$275 ($297.00 for residents of Illinois). Registration entitles
you to free upgrades for 1 year.
Click the above button to download a self-extracting file.
The file da12.exe will be downloaded. Executing this file
will install the software on your system. This is the easiest way to download and
install the software on your system.
Click the above button to download a ZIP file. The
file da12.zip will be downloaded. You must unzip the files contained
in the ZIP file into a temporary directory and then run the program setup.exe. You
must have your own software for unzipping the file.
Click the above button to download the user
manual in pdf format. The user manual file da12man.pdf is also
copied onto your system as part of the installation process using the two
files above. It does not need to be downloaded separately. You must have a copy
of the free Adobe Acrobat Reader® to view the file.
It can be easily uninstalled. It requires
3 MB of hard
disk space.
Registering Software
To continue using the software after the 30-day trial period, you must
register your copy of the software at a
cost of US$275 ($297.00 for residents of Illinois). You can register the software using our secure server by
clicking the above button. Otherwise you can register by Fax or mail using the
following registration form. Also available
are discounts for multiple users and site licenses.
Further Information:
General:
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