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NLOGIT
NLOGIT is an extension of the econometric and statistical software package LIMDEP. In addition to the estimation tools in LIMDEP, NLOGIT provides programs for estimation, model simulation and analysis of multinomial choice data, such as brand choice, transportation mode and for survey and market data in which consumers choose among a set of competing alternatives. In addition to the economic sciences, NLOGIT has applications in biostatistics, noneconomic social sciences, physical sciences, and health outcomes research. History Econometric Software, Inc. was founded in the early 1980s by William H. Greene. NLOGIT was released in 1996 with the development of the FIML nested logit estimator, originally an extension of the multinomial logit model in LIMDEP. The program derives its name from the Nested LOGIT model. With the additions of the multinomial probit model and the mixed logit model among several others, NLOGIT became a self standing superset of LIMDEP. Models NLOGIT is a ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
NLOGIT Logo
NLOGIT is an extension of the econometric and statistical software package LIMDEP. In addition to the estimation tools in LIMDEP, NLOGIT provides programs for estimation, model simulation and analysis of multinomial choice data, such as brand choice, transportation mode and for survey and market data in which consumers choose among a set of competing alternatives. In addition to the economic sciences, NLOGIT has applications in biostatistics, noneconomic social sciences, physical sciences, and health outcomes research. History Econometric Software, Inc. was founded in the early 1980s by William H. Greene. NLOGIT was released in 1996 with the development of the FIML nested logit estimator, originally an extension of the multinomial logit model in LIMDEP. The program derives its name from the Nested LOGIT model. With the additions of the multinomial probit model and the mixed logit model among several others, NLOGIT became a self standing superset of LIMDEP. Models NLOGIT is a ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
NLOGIT Screenshot
NLOGIT is an extension of the econometric and statistical software package LIMDEP. In addition to the estimation tools in LIMDEP, NLOGIT provides programs for estimation, model simulation and analysis of multinomial choice data, such as brand choice, transportation mode and for survey and market data in which consumers choose among a set of competing alternatives. In addition to the economic sciences, NLOGIT has applications in biostatistics, noneconomic social sciences, physical sciences, and health outcomes research. History Econometric Software, Inc. was founded in the early 1980s by William H. Greene. NLOGIT was released in 1996 with the development of the FIML nested logit estimator, originally an extension of the multinomial logit model in LIMDEP. The program derives its name from the Nested LOGIT model. With the additions of the multinomial probit model and the mixed logit model among several others, NLOGIT became a self standing superset of LIMDEP. Models NLOGIT is a ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Comparison Of Statistical Packages
The following tables compare general and technical information for a number of statistical analysis packages. General information Operating system support ANOVA Support for various ANOVA methods Regression Support for various Regression analysis, regression methods. Time series analysis Support for various time series analysis methods. Charts and diagrams Support for various statistical charts and diagrams. Other abilities See also * Comparison of computer algebra systems * Comparison of deep learning software * Comparison of numerical-analysis software * Comparison of survey software * Comparison of Gaussian process software * List of scientific journals in statistics * List of statistical packages Footnotes References Further reading * * * * * {{Statistical software Comparisons of mathematical software, Statistical packages Statistical software, Statistics-related lists Mathematical and quantitative methods (economics) ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Econometrics Software
The following tables compare general and technical information for a number of statistical analysis packages. General information Operating system support ANOVA Support for various ANOVA methods Regression Support for various regression methods. Time series analysis Support for various time series analysis methods. Charts and diagrams Support for various statistical charts and diagrams. Other abilities See also * Comparison of computer algebra systems * Comparison of deep learning software * Comparison of numerical-analysis software * Comparison of survey software * Comparison of Gaussian process software * List of scientific journals in statistics * List of statistical packages Footnotes References Further reading * * * * * {{Statistical software Statistical packages Statistical software are specialized computer programs for analysis in statistics and econometrics. Open-source * ADaMSoft – a generalized statistical software with data mining a ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
LIMDEP
LIMDEP is an econometric and statistical software package with a variety of estimation tools. In addition to the core econometric tools for analysis of cross sections and time series, LIMDEP supports methods for panel data analysis, frontier and efficiency estimation and discrete choice modeling. The package also provides a programming language to allow the user to specify, estimate and analyze models that are not contained in the built in menus of model forms. History LIMDEP was first developed in the early 1980s. Econometric Software, Inc. was founded in 1985 by William H. Greene. The program was initially developed as an easy to use tobit estimator—hence the name, ''LIM''ited ''DEP''endent variable models. Econometric Software has continually expanded since the early 1980s and currently has locations in the United States and Australia. The ongoing development of LIMDEP has been based partly on interaction and feedback from users and from the collaboration of many rese ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
List Of Statistical Packages
Statistical software are specialized computer programs for analysis in statistics and econometrics. Open-source * ADaMSoft – a generalized statistical software with data mining algorithms and methods for data management * ADMB – a software suite for non-linear statistical modeling based on C++ which uses automatic differentiation * Chronux – for neurobiological time series data * DAP – free replacement for SAS * Environment for DeveLoping KDD-Applications Supported by Index-Structures (ELKI) a software framework for developing data mining algorithms in Java * Epi Info – statistical software for epidemiology developed by Centers for Disease Control and Prevention (CDC). Apache 2 licensed * Fityk – nonlinear regression software (GUI and command line) * GNU Octave – programming language very similar to MATLAB with statistical features * gretl – gnu regression, econometrics and time-series library * intrinsic Noise Analyzer (iNA) – For analyzing intrinsic fluctuat ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Econometric Analysis
Econometrics is the application of statistical methods to economic data in order to give empirical content to economic relationships.M. Hashem Pesaran (1987). "Econometrics," '' The New Palgrave: A Dictionary of Economics'', v. 2, p. 8 p. 8–22 Reprinted in J. Eatwell ''et al.'', eds. (1990). ''Econometrics: The New Palgrave''p. 1p. 1–34Abstract (2008 revision by J. Geweke, J. Horowitz, and H. P. Pesaran). More precisely, it is "the quantitative analysis of actual economic phenomena based on the concurrent development of theory and observation, related by appropriate methods of inference". An introductory economics textbook describes econometrics as allowing economists "to sift through mountains of data to extract simple relationships". Jan Tinbergen is one of the two founding fathers of econometrics. The other, Ragnar Frisch, also coined the term in the sense in which it is used today. A basic tool for econometrics is the multiple linear regression model. ''Econometric the ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Score Test
In statistics, the score test assesses constraints on statistical parameters based on the gradient of the likelihood function—known as the ''score''—evaluated at the hypothesized parameter value under the null hypothesis. Intuitively, if the restricted estimator is near the maximum of the likelihood function, the score should not differ from zero by more than sampling error. While the finite sample distributions of score tests are generally unknown, they have an asymptotic χ2-distribution under the null hypothesis as first proved by C. R. Rao in 1948, a fact that can be used to determine statistical significance. Since function maximization subject to equality constraints is most conveniently done using a Lagrangean expression of the problem, the score test can be equivalently understood as a test of the magnitude of the Lagrange multipliers associated with the constraints where, again, if the constraints are non-binding at the maximum likelihood, the vector of Lagrange mu ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Jayson Lusk
Jayson Lusk (born 1974) is an economist, Distinguished Professor and Department Head in the Department of Agricultural Economics at Purdue University. He authors books and articles related to contemporary food policy issues. Education and career Lusk received his B.S. in Food Technology in 1997, from Texas Tech University, and his Ph.D. from Kansas State University in Agricultural Economics. Lusk began his career as assistant professor at Mississippi State University and then associate professor at Purdue University from 2000 to 2005. From 2005 to 2013 Lusk was Professor and Willard Sparks Endowed Chair at Oklahoma State University, Department of Agricultural Economics. During that time he also was a Visiting Researcher at the French National Institute for Agricultural Research. In 2017 Lusk became Distinguished Professor and Head of Purdue University, Department of Agricultural Economics. Over his career, Lusk has published over 200 Scholarly peer review, peer-reviewed artic ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Microsoft Windows
Windows is a group of several proprietary graphical operating system families developed and marketed by Microsoft. Each family caters to a certain sector of the computing industry. For example, Windows NT for consumers, Windows Server for servers, and Windows IoT for embedded systems. Defunct Windows families include Windows 9x, Windows Mobile, and Windows Phone. The first version of Windows was released on November 20, 1985, as a graphical operating system shell for MS-DOS in response to the growing interest in graphical user interfaces (GUIs). Windows is the most popular desktop operating system in the world, with 75% market share , according to StatCounter. However, Windows is not the most used operating system when including both mobile and desktop OSes, due to Android's massive growth. , the most recent version of Windows is Windows 11 for consumer PCs and tablets, Windows 11 Enterprise for corporations, and Windows Server 2022 for servers. Genealogy By marketing ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Choice Model Simulation
Although the concept choice models is widely understood and practiced these days, it is often difficult to acquire hands-on knowledge in simulating choice models. While many stat packages provide useful tools to simulate, researchers attempting to test and simulate new choice models with data often encounter problems from as simple as scaling parameter to misspecification. This article goes beyond simply defining discrete choice models. Rather, it aims at providing a comprehensive overview of how to simulate such models in computer. Defining choice set When a researcher has some consumer choice data in his/her hand and tries to construct a choice model and simulate it against the data, he/she needs to first define a choice set. A Choice Set in discrete choice models is defined to be finite, exhaustive, and mutually exclusive. For instance, consider households' choice of how many laptops to own. The researcher can define the choice set depending on the nature of the data and the i ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Multinomial Logit Model
In statistics, multinomial logistic regression is a classification method that generalizes logistic regression to multiclass problems, i.e. with more than two possible discrete outcomes. That is, it is a model that is used to predict the probabilities of the different possible outcomes of a categorically distributed dependent variable, given a set of independent variables (which may be real-valued, binary-valued, categorical-valued, etc.). Multinomial logistic regression is known by a variety of other names, including polytomous LR, multiclass LR, softmax regression, multinomial logit (mlogit), the maximum entropy (MaxEnt) classifier, and the conditional maximum entropy model. Background Multinomial logistic regression is used when the dependent variable in question is nominal (equivalently ''categorical'', meaning that it falls into any one of a set of categories that cannot be ordered in any meaningful way) and for which there are more than two categories. Some examples ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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