JMulTi is a Time Series analysis with Java

JMulTi was originally created as a tool for certain econometric procedures in time series analysis that are especially difficult to use and that are not available in other packages, like Impulse Response analysis with bootstrapped confidence intervals for
Now many other features have been integrated as well to make it possible to convey a comprehensive analysis. Limitations of this software can be overcome by exporting datasets or computation results and use them with other programs. For an overview of the underlying software concept, see the JStatCom page.

Features of "JMulTi":

· various tools for creating, transforming, editing time series
· Unit Root tests: ADF, HEGY (quarterly, monthly), Schmidt-Phillips, KPSS, Unit Root test with structural break
· Cointegration tests: Johansen Cointegration test with response surfaces, Saikkonen & L�tkepohl test
· kernel density estimation
· spectral density plots
· crossplots
· autocorrelation analysis
· VAR modelling (with arbitrary deterministic/exogenous variables)
· subset model estimation
· output in matrix form
· automatic model selection (various strategies based on information criteria)
· residual analysis with tests for nonnormality, autocorrelation, ARCH, spectrum, kernel density, autocorrelation plots, crosscorrelation
· GARCH analysis for residuals
· Impulse Responses with bootstrapped confidence intervals also for accumulated responses, orthogonal and forecast error versions
· Forecast Error Variance Decomposition
· forecasting, also levels from 1st differences, asymptotic confidence intervals for levels
· causality tests
· stability analysis: bootstrapped Chow tests, recursive parameters, recursive residuals, CUSUM test
· SVAR modelling: AB model, Blanchard-Qua Model with bootstrapped standard errors
· SVAR Forecast Error Variance Decomposition
· SVAR Impulse Responses with bootstrapped confidence intervals
· VECM modelling (with arbitrary deterministic/exogenous variables)
· restrictions on cointegration space, Wald test for beta restrictions
· Johansen, Two Stage, S2S estimation procedures
· EC term can be fully or partly predetermined
· subset model estimation
· output in matrix form
· automatic model selection (various strategies based on information criteria)
· residual analysis with tests for nonnormality, autocorrelation, ARCH, spectrum, kernel density, autocorrelation plots, crosscorrelation
· Impulse Responses with bootstrapped confidence intervals also for accumulated responses, orthogonal and forecast error versions
· Forecast Error Variance Decomposition
· forecasting, also levels from 1st differences, asymptotic confidence intervals for levels
· causality tests
· stability analysis: bootstrapped Chow tests, recursive parameters, recursive eigenvalues
· SVEC modelling with bootstrapped standard errors
· SVEC Forecast Error Variance Decomposition
· SVEC Impulse Responses with bootstrapped confidence intervals
· univariate ARCH, GARCH, T-GARCH estimation with different error distributions
· residual analysis for ARCH residuals with robustified test for no remaining ARCH (S. Lundbergh, T. Teraesvirta), plotting of variance process, kernel density for residuals
· multivariate GARCH(1,1) estimation, residual analysis, plotting of variance process together with univariate estimates, kernel density for residuals
· lag selection for univariate models based on linear and nonlinear selection criteria
· nonlinear estimation with configurable 3D plots
· residual analysis for estimation residuals
· model selection for volatility process
· estimation of volatility process
· residual analysis for volatility estimation residuals

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PrepKit A+ 220-601, A+ Essentials is an interactive software application that helps you learn, tracks your progress, identifies areas for improvements and simulates the actual exam. This PrepKit contains 7 interactive practice tests with over 600 challenging questions guaranteed to comprehensively cover all the objectives for the 220-601: CompTIA A+ Essentials exam. With detailed analysis for each question, over 180 study notes, interactive quizzes, tips and technical articles, this PrepKit ensures that you get a solid grasp of core technical concepts to ace your certification exam.

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Resource Standard Metrics is a source code metrics and quality analysis tool for ANSI C, ANSI C++, C# and Java for use on all Windows and UNIX operating systems. The speed, ease of use and portability of RSM make it unlike any other source code analysis tool on the market today. RSM provides standard metrics and automated source code analysis and is indispensable for any enterprise seeking to achieve ISO-9001, TickIt and SEI certifications. Now your company can run the same tool on multiple languages, on multiple operating systems, creating a higher standard for your metrics collection and source code quality. Language Support RSM supports the language syntax of ANSI C, ANSI C++, C# and Java. RSM is designed to analyze compiled source code. Source code that will not compile will not correctly pass through the RSM parser. RSM may miss functions and or code constructs if the source code cannot be compiled according to the specific grammar of the source language. RSM Features Resource Standard Metrics provides a combination of features not found in any other metrics tool. RSM is a shell-based tool, meaning that you must use a command shell or any UNIX shell or Xterm you desire to run RSM. This allows RSM to integrate seamlessly into Visual Studio, Kawa and other IDEs. RSM utilizes a license file and configuration file on start up. The configuration file allows the user to customize the degree of source code analysis. RSM typically takes run-time switches allowing the user to customize the desired output. RSM creates HTML reports for Visual Metrics that interacts with source code hyperlinks and CSV or comma separated value format for direct input to MS Excel or other spreadsheets. Key Features Use one tool across all operating systems - RSM Installation Use one tool across all project languages for K&R and ANSI C, ANSI C++ and Java 2.0+ - RSM Options and Reports No limitations to the file length, number of files or usage, RSM has processed proje.

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Resource Standard Metrics is a source code metrics and quality analysis tool for ANSI C, ANSI C++, C# and Java for use on all Windows and UNIX operating systems. The speed, ease of use and portability of RSM make it unlike any other source code analysis tool on the market today. RSM provides standard metrics and automated source code analysis and is indispensable for any enterprise seeking to achieve ISO-9001, TickIt and SEI certifications. Now your company can run the same tool on multiple languages, on multiple operating systems, creating a higher standard for your metrics collection and source code quality.

Language Support

RSM supports the language syntax of ANSI C, ANSI C++, C# and Java. RSM is designed to analyze compiled source code. Source code that will not compile will not correctly pass through the RSM parser. RSM may miss functions and or code constructs if the source code cannot be compiled according to the specific grammar of the source language.

RSM Features

Resource Standard Metrics provides a combination of features not found in any other metrics tool. RSM is a shell-based tool, meaning that you must use a command shell or any UNIX shell or Xterm you desire to run RSM. This allows RSM to integrate seamlessly into Visual Studio, Kawa and other IDEs. RSM utilizes a license file and configuration file on start up. The configuration file allows the user to customize the degree of source code analysis. RSM typically takes run-time switches allowing the user to customize the desired output. RSM creates HTML reports for Visual Metrics that interacts with source code hyperlinks and CSV or comma separated value format for direct input to MS Excel or other spreadsheets.

Key Features

Use one tool across all operating systems - RSM Installation
Use one tool across all project languages for K&R and ANSI C, ANSI C++ and Java 2.0+ - RSM Options and Reports
No limitations to the file length, number of files or usage, RSM has processed proje

Requirements: Windows, Linux or Universal UNIX

Whats new in this version: Added new features and maintenance update

Counts C/C++ source program physical & logical lines of code. Useful for various management planning and reporting tasks, calculating quality metrics, or just to gauge your program size estimation skills. Counts both physical lines of code (i.e., card images) in various categories (blank, C-style comments, C++-style comments, blank lines, compiler directives, etc.) and logical (semicolon count) lines for a single file or a complete directory. Instructions are included (with an .xls file to use as a template) for exporting results to an Excel spreadsheet for analysis & graphing.

Requirements: Win95/98, 1.10MB HD

Whats new in this version: New release.

PrepKit Linux+ XK0-002, Linux + (2004) (Linux Plus) is an interactive software application that helps you learn, tracks your progress, identifies areas for improvements and simulates the actual exam. This PrepKit contains 8 interactive practice tests with over 445 challenging questions guaranteed to comprehensively cover all the objectives for the XK0-002: CompTIA Linux+ exam. With detailed analysis for each question, over 113 study notes, interactive quizzes, tips and technical articles, this PrepKit ensures that you get a solid grasp of core technical concepts to ace your certification exam...

uCertify Linux+ (XK0-002) practice test v8.05.05 release is Major Update.