|25-08-2006, 09:13 AM||#1|
تاريخ التسجيل: May 2005
لأول مرة في المنتديات: أخيرا حصلت على البرنامج العالمي الإحصائي Eviews 5.1 & SPSS14
برامج عالمي وهو أفضل البرنامج على الإطلاق
الافضل على الاطلاق هو Eviews 5.1 ثم يليه برنامج SPSS 14
البرنامج يقوم بعمل العمليات الاحصائية كالحصول على البيتا (لمعرفة درجة الخطر) ولحساب المعدل المعياري ومعدل الانحراف وماشابه ذلك
البرامج مفيدة جدا لكل طالب (مثلا لعمل بحث) ورجل أعمل (مثل في البرصه)
سعره 950 دولار = 3560 ريال سعودي
النسخة 5.1 وليس 5
In March of 1994, EViews 1.0 set the standard for what statistical software could be by bringing modern windowing and object-based techniques to econometric software. With the release of EViews 5, QMS continues its tradition of innovation by blending the best of modern spreadsheet and relational database technology with the traditional tasks of statistical software. The result is a program that provides unprecedented power wrapped in an intuitive easy-to-use user interface.
Whether you use EViews for general statistical analysis, time series estimation and forecasting, cross-section or panel data analysis, large scale model simulation, presentation graphics, or simple data management, EViews 5 provides new features that expand your capabilities.
EViews 5.1 New Features
Enhanced Graph Customization
You may now select graph background color, fill color, frame color, and frame thickness.
Graph legends, and text object boxes, now feature user-specified fill color, frame color, and frame thickness.
Font face, text color, and text style (bold, italic, underline, strikeout) choice has been extended to all text in graphs, including legend, axes, and text objects.
Axes options allow for any combination of axes to be displayed with user-specified line widths.
Grid line characteristics (color, width, pattern) may now be specified by the user.
The data portion of a graph may now be indented horizontally and/or vertically within the graph frame using user-selected increments.
The background color in a graph may now be printed and exported with the graph.
Global defaults have been extended to support all of the new appearance settings.
Both global and individual graph object defaults may be updated using templates.
Individual defaults allow you to specify the settings for new text, line, and shade objects added to an existing graph object. For text, you may specify font options (font name, size, style, and color), and the fill and frame color to be used when the text is enclosed in a box. For lines or shades, you may specify color, width, and pattern.
Tools for Creating Workfile Pages from Identifiers
Extended tools to work with identifier series located in multiple pages, allowing you easily to create new pages structured using the values found in series or to form pages by crossing the unique values from two identifier series, or by crossing the unique values from a single identifier series with a date frequency and range. You may use these tools to create a new workfile page structured using: (1) the union of unique ID values from one more more pages; (2) the intersection of unique ID values from mulitple pages; (3) the cross of the unique values of two ID series, or (4) the cross of a single ID series with a date range.
Panel and Pool Equation Specification Testing
The following specification tests have been added in panel or pool equations estimation:
LR-type testing for omitted or redundant regressors in panel and pool equations specified by list. The omitted variable test enables you to add a set of variables to an existing panel or pool equation, and to ask whether the set makes a significant contribution to explaining the variation in the dependent variable. The redundant variables test allows you to test for the statistical significance of a subset of the variables included in your panel or pool equation.
Redundant fixed effects testing for panel and pool equations estimated by ordinary linear and nonlinear least squares evaluates the statistical significance of the estimated fixed effects.
Hausman random effects testing evaluates the restriction that the random effects are uncorrelated with the explanatory variables. The test statistic evaluates the closeness of the coefficients from a random effects pool equation to the corresponding fixed effects specification.
EcoWin Database Support
EViews 5.1 Enterprise Edition now supports direct access to on-line EcoWin databases. The EViews EcoWin interface provides the following features:
An interactive graphical window attached to an EcoWin database allowing for browsing of series in the database, selection of series, and copying/exporting of series into an EViews workfile or another EViews database.
A set of commands to perform tasks such as fetching a particular series by mnemonic from a selected EcoWin database. These tools may be used interactively or within EViews user-written programs.
The copy command has been enhanced, and now supports copying objects between named workiles and workfile pages. If copying series into a workfile page, EViews allows for automatic frequency conversion and match merging of the data in the series to the new workfile page frequency or structure.
An equation forecast option allows you to ignore coefficient uncertainty when computing the forecast standard error.
ARCH equations now allow you to view conditional variances as well as conditional standard deviations. In addition, you may now display and save the permanent component of the GARCH conditional variances in component models.
A new global option allows you to set the default maximum number of errors in program execution.
Operating System: Windows 98 (SE), Windows NT 4.0, Windows Me, Windows 2000, Windows XP.
Memory*: 32 MB for Windows 98, Me or NT 4.0
64 MB for Windows 2000, Windows XP.
Disk Space: 60.5 MB of available hard disk space for the program, supporting files, example files and documentations. 32 MB for program and help system only.
Monitor: VGA, super VGA, or compatible display.
أختر رابط واحد فقط
SPSS for Windows provides you with a broad range of capabilities for the entire analytical process. With SPSS, you can generate decision-making information quickly using powerful statistics, understand and effectively present your results with high-quality tabular and graphical output, and share your results with others using a variety of reporting methods, including secure Web publishing. Results from your data analysis enable you to make smarter decisions more quickly by uncovering key facts, patterns, and trends. An optional server version delivers enterprise-strength scalability, additional tools, security, and enhanced performance.
You can use SPSS for Windows in a variety of areas, including:
Survey and market research and direct marketing
Administrative research, human resources, and resource planning
Medical, scientific, and social science research
Planning and forecasting
Reporting and ad hoc decision making
Enterprise-level analytic application development
In particular, apply SPSS statistics software to gain greater insight into the actions, attributes, and attitudes of people—your customers, employees, students, or citizens.
Add more functionality as you need it
SPSS for Windows is a modular, tightly integrated, full-featured product line for the analytical process—planning, data collecting, data access, data management and preparation, data analysis, reporting, and deployment. Using a combination of add-on modules, extensions, and stand-alone software that work seamlessly with the base product enhances the capabilities of this statistics software. The intuitive interface makes it easy to use—yet it gives you all of the data management, statistics, and reporting methods you need to do even your toughest analysis.
For analytic and application developers, SPSS for Windows provides you with an output management system (OMS) and extended programming capabilities. The OMS enables you to direct your output to XML files. The SPSS Programmability Extension™ enables you to control the flow of your syntax jobs using external programming languages.
For organizations that need to manage SPSS syntax and output files, the SPSS Adapter for Predictive Enterprise Services enables you to store and retrieve these objects through a central repository. Learn more about SPSS Predictive Enterprise Services.
SPSS for Windows is available in English, Japanese, French, German, Italian, Spanish, Chinese, Polish, Korean, and Russian. Contact your local office to find out version information and more.
If you are an OEM and would like to add the predictive analytics capabilities of SPSS to your application, check out the Embeddable Version for OEMs
حمل البرنامج من الموقع الرسمي بعد التسجيل
ثم هذا الدواء
التعديل الأخير تم بواسطة NightMoon ; 28-08-2006 الساعة 12:00 PM
|25-08-2006, 09:18 AM||#2|
تاريخ التسجيل: May 2005
What is EViews 5 and what can it do for me...?
Setting the Standard…
Until recently, using econometric software involved compromise. On one hand, you could select software that provided you with powerful statistical, forecasting, and modeling tools, but in a complex and difficult-to-use package. Or you could choose software that featured a modern, graphical interface, but was lacking features. It was your choice: power and flexibility, or a user-friendly interface; state-of-the-art modeling tools, or intuitive, easy-to-use software.
But that was then. With its innovative graphical object-oriented user interface and sophisticated analysis engine, EViews has the power, flexibility, and ease-of-use that you've been looking for. The only choice for those who demand the very best, EViews is the worldwide leader in Windows-based econometric software. Why compromise when you can choose EViews?
A New Kind of User Interface
The goal in designing EViews was to make it both powerful and intuitive. A wide range of statistical and graphical techniques had to be made available without requiring users to memorize complicated command syntax or navigate layers and layers of menus. The solution is an innovative object-oriented user interface.
EViews is built around the concept of objects. Series, equations, and systems are just a few examples of objects. Each object has its own window, its own menus, its own procedures, and its own views of its data. Most statistical procedures are simply alternative views of the object. For example, a simple menu choice from a series window changes the display between a spreadsheet, line and bar graphs, a histogram-and-statistics view, a correlogram, and a unit root test.
Similarly, an equation window allows you to switch between a display of the equation specification, basic estimation results, the coefficient covariance matrix, graphics depicting the actual, fitted, and residual values for the dependent variable, tables, forecast graphs and evaluations, and more than a dozen diagnostic and hypothesis tests.
Naturally, you can cut-and-paste any of these views into your favorite word processor with a simple menu selection. And it's just as easy to exchange data and results with your spreadsheet and database programs.
EViews directly reads and writes an extensive list of data formats, including Excel, ASCII/Text, SAS, Stata, SPSS, RATS, Html, Access, Binary, ODBC Databases, ODBC queries (ODBC requires the Enterprise version), and many others. To open most data files you can simply drag-and-drop them onto EViews.
Unlike some other econometric software, there is no reason for most users to learn a complicated command language. EViews' built-in procedures are a mouse-click away and provide the tools most frequently used in practical econometric and forecasting work.
Basic descriptive statistics are easily computed over an entire sample, by a categorization based on one or more variables, or by cross-section or period in panel or pooled data. Hypothesis tests on mean, median and variance may be carried out, including testing against specific values, testing for equality between series, or testing for equality within a single series when classified by other variables (which allows you to perform one-way ANOVA).
You can graphically view the distribution of your data using histograms, or cumulative distribution, survivor, and quantile plots. QQ-plots (quantile-quantile plots) can be used to compare the distribution of a pair of series, or the distribution of a single series against a variety of theoretical distributions. You can even perform Kolmogorov-Smirnov, Liliefors, Cramer von Mises, and Anderson-Darling tests to see whether your series is distributed normally, or whether it comes from another distribution such as an exponential, extreme value, logistic, chi-square, Weibull, or gamma distribution. You may provide parameters for the distribution, or let EViews estimate the parameters for you. EViews also calculates kernel density estimates, and produces scatter plots with curve fitting using ordinary, transformation, kernel, and nearest neighbor regression.
To explore the time series properties of your data, EViews provides unit root tests (ADF, Phillips-Perron, KPSS, DFGLS, ERS and Ng-Perron for single time series and Levin-Lin-Chu, Breitung, Im-Pesaran-Shin, Fisher, and Hadri for panel data), cointegration tests (with MacKinnon-Haug-Michelis critical values and p-values), causality tests, autocorrelation and partial autocorrelation functions, Q-statistics, and cross-correlation functions.
EViews provides random number generators (Knuth, L'Ecuyer or Mersenne-Twister), density functions and cumulative distribution functions for eighteen different distributions. These may be used in generating new series, or in calculating scalar and matrix expressions.
EViews 5 provides easy-to-use front-end support for the U.S. Census Bureau's X11 and X12-ARIMA seasonal adjustment programs, as well as the Tramo/Seats software frequently used in Europe. Simple seasonal adjustment using additive and multiplicative difference methods is also supported in EViews.
EViews computes trends from time series data using the Hodrick-Prescott filter. New to EViews 5 is the ability to apply Baxter-King, Christiano-Fitzgerald fixed length and Christiano-Fitzgerald asymmetric full sample band-pass (frequency) filters to your data.
EViews includes a wide range of single and multiple equation estimation techniques for both time series and cross section data. Basic estimators include ordinary least squares (multiple regression), two-stage least squares, and nonlinear least squares. Weighted estimation is available with all of these techniques. Specifications may include polynomial lag structures on any number of independent variables.
In addition to these basic estimators, EViews supports estimation and diagnostics for a variety of advanced models.
EViews' sophisticated calculus engine computes and displays analytic derivatives for the majority of nonlinear regression specifications.
If the variance of your series fluctuates over time, EViews can estimate the path of the variance using a wide variety of Autoregressive Conditional Heteroskedasticity (ARCH) models. EViews handles GARCH(p,q), EGARCH(p,q), TARCH(p,q), PARCH(p,q), and Component GARCH specifications and provides maximum likelihood estimation for errors following a normal, Student's t or Generalized Error Distribution. The mean equation of ARCH models may include ARCH and ARMA terms, and both the mean and variance equations allow for exogenous variables.
Generalized Method of Moments
EViews supports GMM estimation for both cross-section and time series data (single and multiple equation). Weighting options include the White covariance matrix for cross-section data and a variety of HAC covariance matrices for time series data. The HAC options include prewhitening, either quadratic or Bartlett kernels, and fixed, Andrews, or Newey-West bandwith selection methods.
Limited Dependent Variables
When your dependent variable takes on a limited set of values or is censored or truncated, EViews can take account of this information in the estimation procedure. Binary, ordered, censored, and truncated models may be estimated for likelihood functions based on normal, logistic, and extreme value errors. Count models may use Poisson, negative binomial, and quasi-maximum likelihood (QML) specifications. EViews optionally reports generalized linear model or QML standard errors.
EViews supports estimation of both linear and nonlinear systems of equations by OLS, two-stage least squares, seemingly unrelated regression, three-stage least squares, GMM, and FIML. The system may contain cross equation restrictions and autoregressive errors of any order.
Vector Autoregression/Error Correction Models
Vector Autoregression and Vector Error Correction models can be easily estimated by EViews. Once estimated, you may examine the impulse response functions and variance decompositions for the VAR or VEC. VAR impulse response functions and decompositions feature standard errors calculated either analytically or by Monte Carlo methods (analytic not available for decompositions) and may be displayed in a variety of graphical and tabular formats.
You may impose and test linear restrictions on the cointegrating relations and/or adjustment coefficients. EViews' VARs also allow you to estimate structural factorizations (VARs) by imposing short-run (Sims 1986) or long-run (Blanchard and Quah 1989) restrictions. Over-identifying restrictions may be tested using the LR statistic reported by EViews.
VARs support a variety of views to allow you to examine the structure of your estimated specification. With a few clicks of the mouse, you can display the inverse roots of the characteristic AR polynomial, perform Granger causality and joint lag exclusion tests, evaluate various lag length criteria, view correlograms and autocorrelations, or perform various multivariate residual based diagnostics.
Panel Data Analysis and Pooled Time Series-Cross Section
EViews features a wide variety of tools designed to facilitate working with panel or pooled/time series-cross section data. Unbalanced or balanced data sets with unlimited length time and/or cross-sections are easily analyzed. In addition to ordinary linear and non-linear least-squares, equation estimation methods include 2SLS/IV and Generalized 2SLS/IV, which can be used to estimate complex dynamic panel data estimation including Anderson-Hsiao and Arellano-Bond types of estimators.
All of these methods allow both time and cross-section fixed and random effect specifications. For random effects models, quadratic unbiased estimators of component variances include Swamy-Arora, Wallace-Hussain and Wansbeek-Kapteyn.
Also supported are AR specifications, weighted least squares, and seemingly unrelated regression. Coefficients on specific variables (including AR terms) can be constrained to be identical, or allowed to differ across the cross-section.
The state-space object allows estimation of a wide variety of single- and multi-equation dynamic time-series models using the Kalman Filter algorithm. Among other things, you can use the state-space object to estimate random and time-varying coefficient models and ML ARMA specifications.
Sophisticated procs and views give you access to powerful filtering and smoothing tools so that you can view or generate one-step ahead, filtered, or smoothed signals, states, or errors. EViews' built-in forecasting procedures also provide easy-to-use tools for in- and out-of-sample forecasting using n-step ahead or smoothed values.
User-Defined Maximum Likelihood Estimation
EViews 5 features an object (the LogL) for handling user-specified maximum likelihood estimation problems. Simply use standard EViews expressions to describe the log likelihood contribution of each observation in your sample, and EViews will do the rest.
Specification Evaluation and Diagnostics
Once an equation or system is estimated, you can use EViews to perform a wide array of specification evaluation and diagnostic tests.
These tests include Wald tests of linear and nonlinear coefficient restrictions, likelihood ratio and F-tests for omitted variables, Lagrange multiplier tests for serial correlation and ARCH, White heteroskedasticity tests, Ramsey RESET tests, and Chow forecast and breakpoint tests.
Additional tests exist for specific models. As with other object views, all hypothesis tests can be generated by a simple menu selection from an equation or system window.
التعديل الأخير تم بواسطة NightMoon ; 25-08-2006 الساعة 09:49 AM
|25-08-2006, 09:55 AM||#3|
تاريخ التسجيل: May 2005
Forecasting and Simulation
In EViews, you need not concern yourself with the complexities of making forecasts. You can concentrate on the substance of the forecasting problem. For single equation models, just select a menu item and EViews will compute a static or dynamic forecast with optional forecast standard errors and a graph of the 95 percent forecast confidence. Successful forecasting equations can be saved in your workfile or stored in an EViews database.
Simultaneous Equation Solution and Simulation
The model object, which is used for simultaneous equation simulation and solution, provides the features most commonly requested by model builders.
Variable dependencies and the block structure of the model’s equations are displayed with a simple mouse click. Reference equations by name and the model is updated automatically whenever the equation is re-estimated. You can even use the model to manage multiple solution scenarios for comparing simulation results under various sets of assumptions.
The EViews model object makes it easy to perform non-stochastic or stochastic simulation using either Gauss-Seidel or Newton solvers. Built-in views and procedures display simulation results in graphical or tabular form. Forward solution (currently unavailable with stochastic solution) allows you to solve for model consistent expectations. EViews provides sophisticated add factor support, including equation normalization. You can even solve simple control problems where the values for an exogenous control variable are found so that an endogenous variable achieves a user specified target.
Powerful modeling tools are only useful if you can easily access your data. EViews provides the widest range of data management tools available in any econometric software.
Extensive Function Library
EViews 5 contains an extensive library of functions for working with and transforming your data. In addition to standard mathematical and trigonometric functions, EViews provides functions for computing descriptive statistics, by-group statistics, specialized date and time series data functions, functions for working with a variety of statistical distributions and date and string handling.
Sophisticated Expression Handling
EViews’ powerful tools for expression handling mean that you can use expressions virtually anywhere you would use a series. You don't have to create new variables to work with the logarithm of Y, the moving average of W, or the ratio of X to Y (or any other valid expression). Instead, you can use the expression in computing descriptive statistics, as part of an equation or model specification, or in constructing graphs.
When you forecast using an equation with an expression for the dependent variable, EViews will (if possible) allow you to forecast the underlying dependent variable and will adjust the estimated confidence interval accordingly. For example, if the dependent variable is specified as LOG(G), you can elect to forecast either the log or the level of G, and to compute the appropriate, possibly asymmetric, confidence interval.
Links, Formulas and Values Maps
Links allow you to create series that link to data contained in other workfiles or workfile pages. Links allow you to combine data at different frequencies, or match merge in data from a summary page into an individual page such that the data is dynamically updated whenever the underlying data change. Similarly, within a workfile, formulas can be assigned to data series so that the data series are automatically recalculated whenever the underlying data is modified.
Value labels (e.g., "High", "Med", "Low", corresponding to 2, 1, 0) may be applied to numeric or alpha series so that categorical data can be displayed with meaningful labels. Built-in functions allow you to work with either the underlying or the mapped values when performing calculations.
EViews can handle complex data structures, including irregular dated data, cross-section data with observation identifiers, and dated and undated panel data. In addition to numerical data, an EViews workfile can also contain alphanumeric (character string) data and series containing dates, which can be further manipulated using an extensive library of functions.
In addition EViews provides a wide range of tools for manipulating your data. Included is the ability to combine series by complex match merge criteria. Workfile (dataset) procedures for changing the structure of your data include: join, append, subset, resize, sort, and reshape (stack and unstack).
File Import and Export
EViews provides extensive read/write support for foreign formats, including Excel, ASCII/Text, SPSS, SAS (transport), Stata, Html, Microsoft Access, Gauss Dataset, Rats, WinGive/PC Give, TSP, Aremos, dBase, Lotus and Binary. Access to SAS native format files, version 8 or earlier, is also available if a SAS ODBC driver is installed on the system (which must be purchased separately through SAS).
EViews 5 has built-in database features. An EViews database is a collection of EViews objects maintained in a single file on disk. It need not be loaded into memory in order to access an object inside it, and the objects in the database are not restricted to being of a single frequency or range. EViews databases support powerful query features which can be used to search through the database for a particular series or select a set of series with a common property.
Series contained in EViews databases may be accessed and used by EViews procedures without being fetched into workfiles. Automatic search capabilities allow you to specify a list of databases to be searched when a series you need cannot be found in the current workfile.
Enterprise Edition Support for ODBC, FAMETM, DRIBase, and Haver Analytics Databases
As part of the EViews Enterprise Edition (an extra cost option over EViews Standard Edition), support is provided for access to data contained in relational databases (via ODBC drivers) and to databases in a variety of proprietary formats used by commercial data and database vendors. Open Database Connectivity (ODBC) is a standard supported by many relational database systems including Oracle, Microsoft SQL Server and IBM DB2. EViews allows you to read or write entire tables from ODBC databases, or to create a new workfile from the results of a SQL query. For time series data, EViews also supports access to FAMETM databases, both local and server based, Global Insight's DRIBase databases, and Haver Analytics DLX databases. For time series databases, the same, easy to use, EViews database interface is available no matter what the source of the data.
When you import data from a database or from another workfile, they are automatically converted to the frequency of your current project. EViews 5 has many options for frequency conversion, and includes support for the conversion of daily, weekly, or irregular-frequency data. Series may be assigned a preferred conversion method, allowing you to use different methods for different series without having to specify the conversion method every time a series is accessed.
EViews supports a wide range of graph types including line graphs, bar graphs, filled area graphs, pie charts, scatter diagrams, mixed line-bar graphs, high-low graphs, scatter plots and boxplots. A variety of options give you control over line types, color, border characteristics, headings, shading and scaling, including logarithmic scaling and dual scale graphs. Legends are automatically created and you can add labels in any scalable Windows font anywhere on your graph. Any number of graphs can be combined in a single graph for presentation.
Customizing a graph is as simple as dragging graphic elements around the screen. Want to change the characteristics of a legend or a text label? Just click on it and your options are immediately presented in easy to understand dialogs.
You can easily incorporate your customized graphs into other applications using copy-and-paste or by writing the graph to a file. Formats supported include Windows metafiles and PostScript files.
|25-08-2006, 10:13 AM||#4|
تاريخ التسجيل: May 2005
كتب لتعليم SPSS
SPSS for Introductory Statistics Use and Interpretation
Beginners and Intermediate
Authors : Nancy L. Leech, Karen Caplovitz Barrett, George A. Morgan
Publisher : Lawrence Erlbaum Associates (August, 2004)
Language : English
ISBN : 0805847901
SPSS for Intermediate Statistics: Use and Interpretation, Second Edition
SPSS for Intermediate Statistics. Use and Interpretation 2nd Edition
Authors: Nancy L. Leech, Karen Caplovitz Barrett, George A. Morgan
SPSS for Intermediate Statistics. Use and Interpretation, 2nd Edition
ISBN 0805847901 | 2004 Year | Scanned PDF | 18,7 Mb | 255 Pages
|25-08-2006, 10:16 AM||#5|
تاريخ التسجيل: May 2005
SPSS: ANALYSIS WITHOUT ANGUISH USING SPSS V12
BY: Sheridan J. Coakes, Coakes Consulting, Sydney
Publication date: 5 January 2005
|26-08-2006, 02:15 PM||#9|
تاريخ التسجيل: May 2005
Crack uploaded for u
|26-08-2006, 02:29 PM||#10|
تاريخ التسجيل: May 2005
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