fermin ornelas | Rio Salado College (original) (raw)

Papers by fermin ornelas

Research paper thumbnail of Supply Response and Impact of Government-Supported Crops on the Texas Vegetable Industry

Agricultural and Resource Economics Review, 1993

Supply functions, elasticity estimates, and nonjointness test results consistently indicated that... more Supply functions, elasticity estimates, and nonjointness test results consistently indicated that few commodities compete economically in the production of six major Texas vegetables (cabbage, cantaloupes, carrots, onions, potatoes, and watermelons). Significant bias effects caused by government-supported commodities, fixed inputs, and technological change were observed and measured. Nonnested test results for the hypothesis of sequential decision making by vegetable producers were inconclusive, but they gave greater likelihood support to sequential than to contemporaneous decision making.

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Research paper thumbnail of Multidimensional Evaluation of Flexible Functional Forms for Production Analysis

Journal of Agricultural and Applied Economics, 1993

Several common flexible functional forms are evaluated for Texas agricultural production utilizin... more Several common flexible functional forms are evaluated for Texas agricultural production utilizing three procedures. Nested hypothesis tests indicate that the normalized quadratic is the marginally-preferred functional form followed by the generalized Leontief. Predictive accuracy results are ambiguous between the generalized Leontief and the normalized quadratic. Statistical performance favors the normalized quadratic. These two functional forms consistently dominate the translog.

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Research paper thumbnail of Predicting Student Success: A Naïve Bayesian Application to Community College Data

Technology, Knowledge, and Learning, Aug 17, 2017

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Research paper thumbnail of Supply Response and Impact of Government-Supported Crops on the Texas Vegetable Industry

Agricultural and Resource Economics Review, Apr 1, 1993

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Research paper thumbnail of Multidimensional Evaluation of Flexible Functional Forms for Production Analysis

Journal of Agricultural and Applied Economics, Dec 1, 1993

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Research paper thumbnail of Using the quadratic Box-Cox for flexible functional form selection and unconditional variance computation

Empirical Economics, Dec 1, 1994

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Research paper thumbnail of Estimation of Persistence at a Community College: A Comparison of Alternative Machine Learning Models

International Journal of Computer Science, Engineering and Applications

This research focuses on developing persistence models for Rio Salado College. It is an initial e... more This research focuses on developing persistence models for Rio Salado College. It is an initial effort to predict persistence from one term to the next. Several ensemble models are experimented and compared in their respective key metrics such as: confusion matrix, AUC, F1-Score, and feature importance. Exploratory data analysis is undertaken to narrow the set of variables utilized in the models. Two models were considered for possible implementation: a logistic regression and a gradient boosting machine. The former is easier to implement and explain to non-technical personnel, while the latter behaves like a black box. Based on key performance metrics, the model of choice was the gradient boosting machine. Development and testing were conducted with python using jupyter notebooks. The author hopes that this experimental process will fill a vacuum in the analytical needs of community colleges.

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Research paper thumbnail of ESTIMATION OF PERSISTENCE AT A COMMUNITY COLLEGE: A COMPARISON OF ALTERNATIVE MACHINE LEARNING MODELS

Estimation of Persistence at a Community College: A Comparison of Alternative Machine Learning Models , 2023

This research focuses on developing persistence models for Rio Salado College. It is an initial e... more This research focuses on developing persistence models for Rio Salado College. It is an initial effort to predict persistence from one term to the next. Several ensemble models are experimented and compared in their respective key metrics such as: confusion matrix, AUC, F1-Score, and feature importance. Exploratory data analysis is undertaken to narrow the set of variables utilized in the models. Two models were considered for possible implementation: a logistic regression and a gradient boosting machine. The former is easier to implement and explain to non-technical personnel, while the latter behaves like a black box. Based on key performance metrics, the model of choice was the gradient boosting machine. Development and testing were conducted with python using jupyter notebooks. The author hopes that this experimental process will fill a vacuum in the analytical needs of community colleges.

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Research paper thumbnail of Predicting Student Success : An Application to Community College Data By

This research focuses on developing and implementing the Naïve Bayesian Classifier to GEAR course... more This research focuses on developing and implementing the Naïve Bayesian Classifier to GEAR courses at Rio Salado Community College. It demonstrates that this predictive model has good prediction accuracy of at-risk students. Predictive results across courses and cumulative gain charts show potential improvements to be made in students' academic success by focusing at high level risk students.

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Research paper thumbnail of Predicting Student Success: A Naïve Bayesian Application to Community College Data

Technology, Knowledge and Learning, 2017

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Research paper thumbnail of Multidimensional evaluation of flexible functional forms for production analysis

Journal of agricultural and applied …, 1993

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Research paper thumbnail of SUPPLY RESPONSE AND IMPACT OF GOVERNMENT-SUPPORTED CROPS ON THE TEXAS VEGETABLE INDUSTRY

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Research paper thumbnail of Using the quadratic Box-Cox for flexible functional form selection and unconditional variance computation

Empirical Economics, 1994

A quadratic Box-Cox methodology is presented for choice of flexible functional form that includes... more A quadratic Box-Cox methodology is presented for choice of flexible functional form that includes consistent computation of variance estimates. Empirical viability of the procedure is investigated by specifying a dual profit function using highly aggregated U.S. agricultural data. Conditional and unconditional variance estimates for the parameters are compared and contrasted. Like-lihood ratio tests are utilized to discriminate among the generalized Leontief, normalized quadratic, translog, and square-rooted quadratic functional forms. Statistical results indicate that the squarerooted quadratic is the preferred choice of functional form for these data, followed by the normalized quadratic.

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Research paper thumbnail of MULTIDIMENSIONAL EVALUATION OF FLEXIBLE FUNCTIONAL FORMS FOR PRODUCTION ANALYSIS

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Research paper thumbnail of to Community College Data Predicting Student Success: An Application to Community College Data

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Research paper thumbnail of Supply Response and Impact of Government-Supported Crops on the Texas Vegetable Industry

Agricultural and Resource Economics Review, 1993

Supply functions, elasticity estimates, and nonjointness test results consistently indicated that... more Supply functions, elasticity estimates, and nonjointness test results consistently indicated that few commodities compete economically in the production of six major Texas vegetables (cabbage, cantaloupes, carrots, onions, potatoes, and watermelons). Significant bias effects caused by government-supported commodities, fixed inputs, and technological change were observed and measured. Nonnested test results for the hypothesis of sequential decision making by vegetable producers were inconclusive, but they gave greater likelihood support to sequential than to contemporaneous decision making.

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Research paper thumbnail of Multidimensional Evaluation of Flexible Functional Forms for Production Analysis

Journal of Agricultural and Applied Economics, 1993

Several common flexible functional forms are evaluated for Texas agricultural production utilizin... more Several common flexible functional forms are evaluated for Texas agricultural production utilizing three procedures. Nested hypothesis tests indicate that the normalized quadratic is the marginally-preferred functional form followed by the generalized Leontief. Predictive accuracy results are ambiguous between the generalized Leontief and the normalized quadratic. Statistical performance favors the normalized quadratic. These two functional forms consistently dominate the translog.

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Research paper thumbnail of Predicting Student Success: A Naïve Bayesian Application to Community College Data

Technology, Knowledge, and Learning, Aug 17, 2017

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Research paper thumbnail of Supply Response and Impact of Government-Supported Crops on the Texas Vegetable Industry

Agricultural and Resource Economics Review, Apr 1, 1993

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Research paper thumbnail of Multidimensional Evaluation of Flexible Functional Forms for Production Analysis

Journal of Agricultural and Applied Economics, Dec 1, 1993

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Research paper thumbnail of Using the quadratic Box-Cox for flexible functional form selection and unconditional variance computation

Empirical Economics, Dec 1, 1994

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Research paper thumbnail of Estimation of Persistence at a Community College: A Comparison of Alternative Machine Learning Models

International Journal of Computer Science, Engineering and Applications

This research focuses on developing persistence models for Rio Salado College. It is an initial e... more This research focuses on developing persistence models for Rio Salado College. It is an initial effort to predict persistence from one term to the next. Several ensemble models are experimented and compared in their respective key metrics such as: confusion matrix, AUC, F1-Score, and feature importance. Exploratory data analysis is undertaken to narrow the set of variables utilized in the models. Two models were considered for possible implementation: a logistic regression and a gradient boosting machine. The former is easier to implement and explain to non-technical personnel, while the latter behaves like a black box. Based on key performance metrics, the model of choice was the gradient boosting machine. Development and testing were conducted with python using jupyter notebooks. The author hopes that this experimental process will fill a vacuum in the analytical needs of community colleges.

Bookmarks Related papers MentionsView impact

Research paper thumbnail of ESTIMATION OF PERSISTENCE AT A COMMUNITY COLLEGE: A COMPARISON OF ALTERNATIVE MACHINE LEARNING MODELS

Estimation of Persistence at a Community College: A Comparison of Alternative Machine Learning Models , 2023

This research focuses on developing persistence models for Rio Salado College. It is an initial e... more This research focuses on developing persistence models for Rio Salado College. It is an initial effort to predict persistence from one term to the next. Several ensemble models are experimented and compared in their respective key metrics such as: confusion matrix, AUC, F1-Score, and feature importance. Exploratory data analysis is undertaken to narrow the set of variables utilized in the models. Two models were considered for possible implementation: a logistic regression and a gradient boosting machine. The former is easier to implement and explain to non-technical personnel, while the latter behaves like a black box. Based on key performance metrics, the model of choice was the gradient boosting machine. Development and testing were conducted with python using jupyter notebooks. The author hopes that this experimental process will fill a vacuum in the analytical needs of community colleges.

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Research paper thumbnail of Predicting Student Success : An Application to Community College Data By

This research focuses on developing and implementing the Naïve Bayesian Classifier to GEAR course... more This research focuses on developing and implementing the Naïve Bayesian Classifier to GEAR courses at Rio Salado Community College. It demonstrates that this predictive model has good prediction accuracy of at-risk students. Predictive results across courses and cumulative gain charts show potential improvements to be made in students' academic success by focusing at high level risk students.

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Research paper thumbnail of Predicting Student Success: A Naïve Bayesian Application to Community College Data

Technology, Knowledge and Learning, 2017

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Multidimensional evaluation of flexible functional forms for production analysis

Journal of agricultural and applied …, 1993

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Research paper thumbnail of SUPPLY RESPONSE AND IMPACT OF GOVERNMENT-SUPPORTED CROPS ON THE TEXAS VEGETABLE INDUSTRY

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Using the quadratic Box-Cox for flexible functional form selection and unconditional variance computation

Empirical Economics, 1994

A quadratic Box-Cox methodology is presented for choice of flexible functional form that includes... more A quadratic Box-Cox methodology is presented for choice of flexible functional form that includes consistent computation of variance estimates. Empirical viability of the procedure is investigated by specifying a dual profit function using highly aggregated U.S. agricultural data. Conditional and unconditional variance estimates for the parameters are compared and contrasted. Like-lihood ratio tests are utilized to discriminate among the generalized Leontief, normalized quadratic, translog, and square-rooted quadratic functional forms. Statistical results indicate that the squarerooted quadratic is the preferred choice of functional form for these data, followed by the normalized quadratic.

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Research paper thumbnail of MULTIDIMENSIONAL EVALUATION OF FLEXIBLE FUNCTIONAL FORMS FOR PRODUCTION ANALYSIS

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Research paper thumbnail of to Community College Data Predicting Student Success: An Application to Community College Data

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