• user-friendly, fast and reliable statistical software • easy to learn • one edition includes all features • more than 220 statistical tests, procedures and graphs • reference software for • method comparison and method evaluation including Bland & Altman plot, Passing & Bablok, and Deming regression. Prolific pl2303 usb to serial adaptor driver linux mint. • reference intervals • meta-analysis • see • free updates • available with an English, Chinese (simplified and traditional), French, German, Italian, Japanese, Korean, Polish, Portuguese (Brazilian), Russian and Spanish user-interface (help file and documentation in English) • compatible with all contemporary Windows desktop editions Licensing options.

The consists of a fully integrated line of analytic solutions that were developed and refined over the past 25 years. During this time, feedback from hundreds of thousands of users helped shaped STATISTICA into solutions for many different industries across the globe. Our products have received the highest rating in every published (independent) comparative in which it has been featured since its first release in 1993.

If you know how to use windows applications such as Microsoft Excel or Word, you already know how to use STATISTICA. There are no proprietary languages to learn, cumbersome imports or exports between platforms. Customers can install STATISTICA as a commercial off-the-shelf solution.

The STATISTICA line of software consists of a fully integrated line of analytic solutions that were developed and refined over the past 25 years. During this time.

Customers can customize STATISTICA to fit into their company culture. Industry-standard scripting languages, such as Visual Basic or R, can be used for configuration and customization. COM-compliant programming languages, such as C#, C++, Java, VB.NET, can call STATISTICA objects. STATISTICA solutions were developed to get things done, to provide the fastest return on investment, best value, and uniquely useful and effective, data management,, and presentation tools to create predictable value quickly for you and your organization and applications. • STATISTICA can access data from virtually all standard data repositories, file formats, and standard and specialized database formats. For example, Excel spreadsheets can be opened as MS Excel spreadsheets inside STATISTICA and processed in-place; databases can be queried in-place directly using the built-in graphical query builder (or standard query language interfaces); STATISTICA provides efficient and easy to use (often single-click) functions for file-import/export to/from Text, Excel, databases, or SAS, SPSS, etc. STATISTICA can directly access data from all standard relational database formats, as well as specialized databases (e.g., the OSI PI database for process data).

• STATISTICA data management functions and procedures provide a large number of options for efficiently merging, aggregating, stacking and unstacking of data, transformations and smoothing of data, for cleaning/recoding/imputing of missing data, for identifying duplicate records, finding and recoding outliers, etc. Numerous specialized ETL (Extract-Transform-Load data) functions are available, for example, to align customer records from different sources, to align time-stamped and/or batch data recorded at different time intervals, to aggregate diverse data sources, etc. • STATISTICA data analysis capabilities cover thousands of STATISTICA functions, algorithms, tests, and methods ranging from simple break-down tables to advanced nonlinear modeling, generalized linear models, time-series methods, to name only a few of the comprehensively implemented STATISTICA functions available in the software. In addition, STATISTICA provides the most comprehensive selection of advanced data mining algorithms in a single package, options for text mining, comprehensive options for quality control charting, multivariate control methods, model-based quality control methods (including PLS based methods for monitoring of batch processes in real time), and simple and advanced process monitoring algorithms. Even advanced simulation and general optimization algorithms are provided, to solve complex risk modeling problems and/or perform multi-goal optimization of data mining or STATISTICA models.