The LIMDEP Logit$ and Probit$ commands support a variety of categorical dependent variable models that are addressed in Greene’s Econometric Analysis (2003). The output format of LIMDEP 9 is slightly different from that of previous version, but key statistics remain unchanged.
LIMDEP & NLOGIT are powerful statistical & data analysis software for panel data , stochastic frontier, multinomial choice modeling, probit, fixed effects, mixed. Part I Reference Guide to Using LIMDEP Part I Reference Guide Chapter 1 Chapter 2 Chapter 3 Chapter 4 Chapter 5 Chapter 6 Chapter 7 Chapter 8 Chapter 9. LIMDEP Econometric Modeling Guide, Volume 2. NLOGIT Reference Guide. Documentation for LIMDEP/NLOGIT consists of some 2, pages of.
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Gjide LIMDEP 11 Reference Guide provides all instructions for operating the program, including installation, invocation, and most of the basic setup operations that precede model estimation.
- Jul 02, 2021 For example, your colleague is an SPSS user who uses an older version of SPSS and you are a SAS user working with SAS version 9.x. For your colleague to use the same data in SPSS that you have worked on in SAS, you can simply convert your data in SAS to an SPSS data file for your colleague.
- JMP 9 in 2010 added a new interface for using the R programming language from JMP and an add-in for Excel. The main screen was rebuilt and enhancements were made to simulations, graphics and a new Degradation platform. In March 2012, version 10 made improvements in data mining, predictive analytics, and automated model building.
Is Green In our effort to be environmentally conscious, we have discontinued printing paper manuals for our new versions. Ebooks are increasingly popular and our new manuals offer many benefits and advantages: These operations include reading and transforming data and setting the sample. The manuals may be updated more easily.
Reproduction in whole or in part without guidee is prohibited. Whether you download the manuals or receive them on disc, transportation costs are significantly reduced or eliminated.
Documentation: PDF Manuals
They help reduce landfill by eliminating waste from outdated manuals. They lidep very few natural resources. You can carry a full set of manuals without worrying about space or weight, and you can read the manuals anywhere.
There are chapters on Descriptive statistics Linear regression Panel data analysis Heteroscedasticity Binary choice models Models for count data Censored and truncated data Survival models Nonlinear regression Time series models Nonlinear optimization Sample selection models and many others. The full set of formulas for all computations are shown with complete mathematical documentation of the models.
LIMDEP Reference Guide: Version – William H. Greene – Google Books
The LIMDEP 11 documentation with over 2, pages, contains full reference guides for the program, background econometrics, and sample applications. Each model fit by the program is fully documented. With a download option, the manuals are available much faster than waiting for delivery of printed manuals. Second, we have included extensive explanatory text and dozens of examples, with applications, for every technique and model presented.
LIMDEP | NLOGIT | New PDF Documentation
Manual links offer easy access to additional information and related websites. Additional chapters in this 99.0 show how to do numerical analysis and how to program your own estimators.
No paper is used in the production of our manuals so they save trees and reduce pollution. They save transportation costs and the pollution associated with shipping books.
There are chapters on. If you wish to read a section of the manuals in the traditional way, you can print it and have the benefit of a paper-based book.
Topics are arranged by modeling framework, not by program command. This manual also describes the optimization procedures, how to use the matrix algebra package and scalar scientific calculator as stand alone tools and as part of LIMDEP programs, what types of results are produced by the program, and some of the common features of the model estimation programs, such as how to do post estimation analysis of model results, including partial effects and simulation.
You can personalize your manual by changing the font size and viewing format.
You can easily search for any information directly in the manuals rather than through an index.
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| Original author(s) | StatSoft |
|---|---|
| Developer(s) | TIBCO Software |
| Stable release | |
| Operating system | Windows |
| Type | Numerical analysis |
| License | Proprietary software |
| Website | www.tibco.com/data-science-and-streaming |
Statistica is an advanced analytics software package originally developed by StatSoft and currently maintained by TIBCO Software Inc.[1]Statistica provides data analysis, data management, statistics, data mining, machine learning, text analytics and data visualization procedures.
Overview[edit]
Statistica is a suite of analytics software products and solutions originally developed by StatSoft and acquired by Dell in March 2014. The software includes an array of data analysis, data management, data visualization, and data mining procedures; as well as a variety of predictive modeling, clustering, classification, and exploratory techniques.[2] Additional techniques are available through integration with the free, open source R programming environment.[3][4]Different packages of analytical techniques are available in six product lines.[5]
History[edit]
Statistica originally derives from a set of software packages and add-ons that were initially developed during the mid-1980s by StatSoft. Following the 1986 release of Complete Statistical System (CSS) and the 1988 release of Macintosh Statistical System (MacSS), the first DOS version (trademarked in capitals as STATISTICA) was released in 1991. In 1992, the Macintosh version of Statistica was released.
Statistica 5.0 was released in 1995. It ran on both the new 32-bit Windows 95/NT and the older version of Windows (3.1). It featured many new statistics and graphics procedures, a word-processor-style output editor (combining tables and graphs), and a built-in development environment that enabled the user to easily design new procedures (e.g., via the included Statistica Basic language) and integrate them with the Statistica system.
Statistica 5.1 was released in 1996 followed by Statistica CA '97 and Statistica '98 editions.
In 2001, Statistica 6 was based on the COM architecture and it included multithreading and support for distributed computing.
Statistica 9 was released in 2009, supporting 32 bit and 64-bit computing.
Statistica 10 was released in November 2010. This release featured further performance optimizations for the 64-bit CPU architecture, as well as multithreading technologies, integration with Microsoft SharePoint, Microsoft Office 2010 and other applications, the ability to generate Java and C# code, and other GUI and kernel improvements.[2]
Statistica 12 was released in April 2013 and features a new GUI, performance improvements when handling large amounts of data, a new visual analytic workspace, a new database query tool as well as several analytics enhancements.[2]
Localized versions of Statistica (including the entire family of products) are available in Chinese (both Traditional and Simplified), Czech, English, French, German, Italian, Japanese, Polish, Russian, and Spanish. Documentation is available in Arabic, Chinese, Czech, English, French, German, Hungarian, Italian, Japanese, Korean, Polish, Portuguese, Russian, Spanish, and other languages.
Acquisition history[edit]
Statistica was acquired by Dell in March 2014.[6] In November 2016, Dell sold off several pieces of its software group, and Francisco Partners and Elliott Management Corporation acquired Statistica as part of its purchase of Quest Software from Dell.[7] On May 15, 2017, TIBCO Software Inc. announced it entered into an agreement to acquire Statistica.[1]
Release history[edit]
List of releases:[2]
- PsychoStat - 1984
- Statistical Supplement for Lotus 1-2-3 - 1985
- StatFast/Mac - 1985
- CSS 1 - 1987
- CSS 2 - 1988
- MacSS - 1988
- STATISTICA/DOS - 1991
- STATISTICA/Mac - 1992
- STATISTICA 4.0 - 1993
- STATISTICA 4.5 - 1994
- STATISTICA 5.0 - 1995
- STATISTICA 5.1 - 1996
- STATISTICA 5.5 - 1999
- STATISTICA 6.0 - 2001
- STATISTICA 7.0 - 2004
- STATISTICA 7.1 - 2005
- STATISTICA 8.0 - 2007
- STATISTICA 9.0 - 2009
- STATISTICA 9.1 - 2009
- STATISTICA 10.0 - 2010
- STATISTICA 11.0 - 2012
- STATISTICA 12.0 - 2013
- Statistica 12.5 - April 2014[8]
- Statistica 12.6 - December 2014[9]
- Statistica 12.7 - May 2015[10]
- Statistica 13.0 - Sept 2015[11]
- Statistica 13.1 - June 2016[12]
- Statistica 13.2 - Sep 30, 2016
- Statistica 13.3 - June, 2017 [13]
- Statistica 13.3.1 - November, 2017 [14]
- Statistica 13.4 - May 2018 [15]
- Statistica 13.5 - November 2018 [16]
- Statistica 13.6 - November 2019 [17]
- Statistica 14.0 - December 2020 [18]
Graphics[edit]
Statistica includes analytic and exploratory graphs in addition to standard 2- and 3-dimensional graphs. Brushing actions (interactive labeling, marking, and data exclusion) allow for investigation of outliers and exploratory data analysis.
User interface[edit]
Limdep 9 New Version 6 5 5
Operation of the software typically involves loading a table of data and applying statistical functions from pull-down menus or (in versions starting from 9.0) from the ribbon bar. The menus then prompt for the variables to be included and the type of analysis required. It is not necessary to type command prompts. Each analysis may include graphical or tabular output and is stored in a separate workbook.
See also[edit]
References[edit]
- ^ ab'TIBCO Software to Acquire Data Science Platform Leader Statistica'.
- ^ abcd'TIBCO® Data Science'. TIBCO Software Inc.
- ^Christian H. Weiss 'Commercial meets Open Source: Tuning STATISTICA with R'R-Project. March 2008.
- ^'StatSoft Certifies REvolution Computing R Language'Archived 2013-01-26 at archive.todayHPCwire. December 2008.
- ^STATISTICA Product Overview
- ^us, Dell. 'Press Releases'. Dell. Retrieved 2015-09-23.
- ^'Press Release'. Francisco Partners.
- ^'Statistica 12.7 Release Notes Guide'. Dell Software. Retrieved 2015-09-23.
- ^'Statistica - Release Notes and Guides'. support.software.dell.com. Retrieved 2015-09-23.
- ^'Statistica 12.7 Release Notes'. documents.software.dell.com. Retrieved 2015-09-23.
- ^'Statistica - Release Notes and Guides'. support.software.dell.com. Retrieved 2015-10-14.
- ^'Dell Statistica 13.1 Release Notes'(PDF).
- ^'TIBCO Statistica 13.3.0'.
- ^'TIBCO Statistica 13.3.1'.
- ^'TIBCO Statistica 13.4.0'.
- ^'TIBCO Statistica 13.5.0'.
- ^'TIBCO Statistica 13.6.0'.
- ^'TIBCO Statistica 14.0.0'.
Further reading[edit]
- Afifi, A.; Clark, V.; May, S. (2003). Computer-Aided Multivariate Analysis. New York: CRC Press.
- Hill, T., and Lewicki, P. (2007). STATISTICS Methods and Applications. Tulsa, OK: StatSoft.
- Nisbet, R., Elder, J., and Miner, G. (2009). Handbook of Statistical Analysis and Data Mining Applications. Burlington, MA: Academic Press (Elsevier).
- Sá, Joaquim (2007). Applied Statistics Using Spss, STATISTICA, Matlab and R. Berlin: Springer. ISBN3-540-71971-7.
- Stein, Philip G.; Matey, James R.; Pitts, Karen (1997). 'A Review of Statistical Software for the Apple Macintosh'. The American Statistician. 51 (1): 67–82. doi:10.1080/00031305.1997.10473593.
External links[edit]
- Electronics statistics textbook online [1]