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What's New

Odds Ratios in Generalized Linear/Nonlinear (GLZ) Models

Mon, 30 Aug 2010 22:29:00 -0500

SPOTLIGHT ON: John Elder, Ph.D.

Mon, 30 Aug 2010 20:33:00 -0500

Monte Carlo and Sample Size

Mon, 30 Aug 2010 17:48:00 -0500

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STATISTICA White Papers

StatSoft has a selection of white papers on current STATISTICA technology, solutions, and products. For other topics, you may wish to visit our white paper archive.

Technology

Performance

Speed Comparisons

R

R Integration Overview
R Integration Technical White Paper

.NET

Programming STATISTICA from .NET

Data Mining

Categorical Predictors in STATISTICA Data Miner Regression Trees
Missing Data in STATISTICA Data Miner
Stability of Trees in STATISTICA Data Miner
Weighted Means Option in Repeated Measures Analysis (GLM)
What is Data Mining, and How is it Useful for Power Plant Optimization?
Why There is No Deployment Script for GAM 

Other

Analysis of a Split-Plot Design in STATISTICA
Boosting as a General Technique Categorization in STATISTICA Frequency Tables
Icon Plots in STATISTICA
Minimum Aberration Designs Are Not Maximally Unconfounded
Plackett-Burman Designs vs. Standard Fractional Factorial Designs
Random Number Generation in STATISTICA

Solutions / Industries

Banking & Finance

Banking & Finance - The data mining techniques in STATISTICA Data Miner allow financial institutions to better understand customer needs, behaviors, and preferences.

Insurance

Insurance - The need for data mining tools in the Insurance industry has increased dramatically as deregulation and growing competition have insurance companies moving towards customer-centric operations.

Manufacturing

Manufacturing - This article appeared in the April 2007 edition of Quality Magazine. It illustrates how multivariate process monitoring and control improve common manufacturing problems.

Marketing

Marketing - Find out how savvy Marketing departments use STATISTICA Data Miner.

Pharmaceutical, Biotechnology, Medical Device & Cosmetics

Justification and Expected Benefits of Data Analysis Automation Projects - This article considers the expected benefits and justification of automating data analyses within Research & Development and Quality Control laboratories using an enterprise-wide data analysis software solution.

Process Analytical Technology (PAT) - This paper describes best practices for PAT in statistical software and its applications.

STATISTICA and 21 CFR Part 11 - This document includes an overview of the FDA's 21 CFR Part 11 regulation and its relevance to STATISTICA applications, and details how the STATISTICA Document Management System complies with the relevant sections of 21 CFR Part 11.

STATISTICA Validation Services - The purpose of this paper is to provide an introductory overview to StatSoft's standard Validation Package, which can be easily customized to suite your STATISTICA application needs.

R Integration Technical White Paper - This white paper provides an introduction to STATISTICA Data Miner and an example for utilizing STATISTICA analyses and graphics in tandem with scripts developed with the R programming language.

Six Sigma Methodology

Six Sigma Methodology - This paper discusses the definition of Six Sigma and how STATISTICA's Six Sigma tools are used at both the desktop and enterprise levels.

Products

STATISTICA Enterprise/QC:

STATISTICA Enterprise/QC Capabilities - This paper provides an introduction to STATISTICA Enterprise, along with examples of its Database Integration Capabilities, Interactive Filtering, and Quality Control Chart Types.

WebSTATISTICA

WebSTATISTICA Server - The security of any Internet application is of primary consideration in today's world. This paper addresses this concern as it relates to WebSTATISTICA Server applications. Topics discussed include user authentication, user management, access control, user permissions, and communications between computers, as well as security issues with PHP and Microsoft Internet Information Services (IIS).

 

For additional topics, you may wish to visit our white paper archive.

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These files require the Adobe Acrobat Reader which is available for free download on the Adobe Web site.

 

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