Alireza Simchi
- Courses7
- Reviews10
- School: University of Saskatchewan
- Campus:
- Department: Mathematics & Statistics
- Email address: Join to see
- Phone: Join to see
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Location:
Saskatoon, SK - Dates at University of Saskatchewan: April 2002 - December 2007
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Biography
University of Saskatchewan - Mathematics & Statistics
Full Time Faculty Lecturer at University of Alberta
Higher Education
Alireza
Simchi
Edmonton, Alberta, Canada
Born and raised in Tehran, the capital city of Iran, I received a BSc degree in Statistics from Shahid Beheshti University in 1991 for the thesis ``Effective Factors in Drug Addiction among Male Adults'' under the supervision of Ali Agha Azadeh. I continued my studies at Shahid Beheshti University and, eventually, I received my MSc degree in Statistics for the thesis ``Application of Projections in Bayes Theorems'' under the supervision of Siamak Noorbaloochi in 1993. I registered at University of Saskatchewan in 1997. I was awarded a PhD degree in Statistics after defending my dissertation on ``The Asymptotic Distributions in Randomization Theory'' supervised by Mikelis G. Bickis in 2003. Currently, I am a faculty lecturer in the Department of Mathematical and Statistical Sciences at the University of Alberta. I have considerable teaching assistantship, as well as reasonable statistical experiences. Summaries of published articles in applying statistical methods to business environments can be found in publications.
Experience
University of Regina
Assistant Professor
Alireza worked at University of Regina as a Assistant Professor
University of Regina
Full Time Lecturer
Alireza worked at University of Regina as a Full Time Lecturer
University of Alberta
Full Time Faculty Lecturer
Alireza worked at University of Alberta as a Full Time Faculty Lecturer
Shahid Beheshti University
Faculty Lecturert
Alireza worked at Shahid Beheshti University as a Faculty Lecturert
Education
University of Saskatchewan
Doctor of Philosophy (Ph.D.)
Statistics
Shahid Beheshti University
Bachelor of Science (B.Sc.)
Statistics
Shahid Beheshti University
Master of Science (M.Sc.)
Statistics
Shahid Beheshti University
Faculty Lecturert
Publications
Consumer Attitudes toward Mandatory Traceability and Labeling Systems for Farmed Atlantic Salmon
Journal of International Food & Agribusiness Marketing
Summary: In this article we analyzed consumers’ attitudes for farmed Atlantic salmon that passed mandatory traceability and labeling systems in Canada. In this article, my main responsibilities were to identify factors that affected consumers’ decisions to purchase farm-raised Atlantic salmon. The results of our research showed that consumers, on average, perceive the benefits of traceability and labeling systems on farmed Atlantic salmon in spite of its driving up the product price.
Consumer Attitudes toward Mandatory Traceability and Labeling Systems for Farmed Atlantic Salmon
Journal of International Food & Agribusiness Marketing
Summary: In this article we analyzed consumers’ attitudes for farmed Atlantic salmon that passed mandatory traceability and labeling systems in Canada. In this article, my main responsibilities were to identify factors that affected consumers’ decisions to purchase farm-raised Atlantic salmon. The results of our research showed that consumers, on average, perceive the benefits of traceability and labeling systems on farmed Atlantic salmon in spite of its driving up the product price.
A Nonparametric Extension of Generalized Quadratic Box-Cox Models in Measuring Technical Efficiency
Applied Economics
Summary: In this paper we extended the generalized Box-Cox model to develop a nonparametric regression function using the Additivity and Variance Stabilization algorithm. In this article my main task was to use a nonparametric method that considers random noise in the data. We estimated technical efficiency scores of a group of dairy producers from New York. This model can be applied to any industry.
Consumer Attitudes toward Mandatory Traceability and Labeling Systems for Farmed Atlantic Salmon
Journal of International Food & Agribusiness Marketing
Summary: In this article we analyzed consumers’ attitudes for farmed Atlantic salmon that passed mandatory traceability and labeling systems in Canada. In this article, my main responsibilities were to identify factors that affected consumers’ decisions to purchase farm-raised Atlantic salmon. The results of our research showed that consumers, on average, perceive the benefits of traceability and labeling systems on farmed Atlantic salmon in spite of its driving up the product price.
A Nonparametric Extension of Generalized Quadratic Box-Cox Models in Measuring Technical Efficiency
Applied Economics
Summary: In this paper we extended the generalized Box-Cox model to develop a nonparametric regression function using the Additivity and Variance Stabilization algorithm. In this article my main task was to use a nonparametric method that considers random noise in the data. We estimated technical efficiency scores of a group of dairy producers from New York. This model can be applied to any industry.
Comparing Nonparametric to Parametric Interaction Terms in Generalized Additive Models: Production Technology in the Canadian Cable Television Industry
International Journal of Data Analysis Techniques and Strategies
Summary: In this paper we developed a non-parametric cost function for the Canadian cable television industry through the 1990s using the theory of generalised additive models. My responsibility in this article was to have a deep understanding of the cable industry in Canada, especially the relationship between inputs used in the model and whether they were additive separable. I then tested the degree of separability among the inputs. This model can be applied to any industry.
Consumer Attitudes toward Mandatory Traceability and Labeling Systems for Farmed Atlantic Salmon
Journal of International Food & Agribusiness Marketing
Summary: In this article we analyzed consumers’ attitudes for farmed Atlantic salmon that passed mandatory traceability and labeling systems in Canada. In this article, my main responsibilities were to identify factors that affected consumers’ decisions to purchase farm-raised Atlantic salmon. The results of our research showed that consumers, on average, perceive the benefits of traceability and labeling systems on farmed Atlantic salmon in spite of its driving up the product price.
A Nonparametric Extension of Generalized Quadratic Box-Cox Models in Measuring Technical Efficiency
Applied Economics
Summary: In this paper we extended the generalized Box-Cox model to develop a nonparametric regression function using the Additivity and Variance Stabilization algorithm. In this article my main task was to use a nonparametric method that considers random noise in the data. We estimated technical efficiency scores of a group of dairy producers from New York. This model can be applied to any industry.
Comparing Nonparametric to Parametric Interaction Terms in Generalized Additive Models: Production Technology in the Canadian Cable Television Industry
International Journal of Data Analysis Techniques and Strategies
Summary: In this paper we developed a non-parametric cost function for the Canadian cable television industry through the 1990s using the theory of generalised additive models. My responsibility in this article was to have a deep understanding of the cable industry in Canada, especially the relationship between inputs used in the model and whether they were additive separable. I then tested the degree of separability among the inputs. This model can be applied to any industry.
An Application of the Residual Deviance Analysis in Testing Input Separability Restrictions
Applied Economics Letters
Summary: In this article we examined the separability of inputs in a production function estimated non-parametrically by using the theory of generalized additive models. My responsibility in this article was to examine separability of inputs that can be tested through examination of the marginal rate of technical substitution. In practice, it is a very important issue in an industry to know whether inputs are additive separable or not. If they are, then of the marginal rate of technical substitution between a pair of inputs will entirely depend on the amount of inputs used by a firm, which, in turn, affects the firm’s production cost per unit.
Consumer Attitudes toward Mandatory Traceability and Labeling Systems for Farmed Atlantic Salmon
Journal of International Food & Agribusiness Marketing
Summary: In this article we analyzed consumers’ attitudes for farmed Atlantic salmon that passed mandatory traceability and labeling systems in Canada. In this article, my main responsibilities were to identify factors that affected consumers’ decisions to purchase farm-raised Atlantic salmon. The results of our research showed that consumers, on average, perceive the benefits of traceability and labeling systems on farmed Atlantic salmon in spite of its driving up the product price.
A Nonparametric Extension of Generalized Quadratic Box-Cox Models in Measuring Technical Efficiency
Applied Economics
Summary: In this paper we extended the generalized Box-Cox model to develop a nonparametric regression function using the Additivity and Variance Stabilization algorithm. In this article my main task was to use a nonparametric method that considers random noise in the data. We estimated technical efficiency scores of a group of dairy producers from New York. This model can be applied to any industry.
Comparing Nonparametric to Parametric Interaction Terms in Generalized Additive Models: Production Technology in the Canadian Cable Television Industry
International Journal of Data Analysis Techniques and Strategies
Summary: In this paper we developed a non-parametric cost function for the Canadian cable television industry through the 1990s using the theory of generalised additive models. My responsibility in this article was to have a deep understanding of the cable industry in Canada, especially the relationship between inputs used in the model and whether they were additive separable. I then tested the degree of separability among the inputs. This model can be applied to any industry.
An Application of the Residual Deviance Analysis in Testing Input Separability Restrictions
Applied Economics Letters
Summary: In this article we examined the separability of inputs in a production function estimated non-parametrically by using the theory of generalized additive models. My responsibility in this article was to examine separability of inputs that can be tested through examination of the marginal rate of technical substitution. In practice, it is a very important issue in an industry to know whether inputs are additive separable or not. If they are, then of the marginal rate of technical substitution between a pair of inputs will entirely depend on the amount of inputs used by a firm, which, in turn, affects the firm’s production cost per unit.
A General Solution to Popper or Production
Empirical Economics Letters
Summary: In this paper we tried to solve an ongoing debate over the use of appropriate functional form (production, cost, or profit) in the economic literature. We argued that part of the controversial discussion on the choice of functional form came from a lack of precise knowledge about the true relationship between the dependent and independent variables, which cannot be identified by using parametric econometrics. My major responsibilities in this article were to use a method of response transformation model and applied it to a sample of data collected from a group of dairy producers in New York. This model can be applied to any industry.
Consumer Attitudes toward Mandatory Traceability and Labeling Systems for Farmed Atlantic Salmon
Journal of International Food & Agribusiness Marketing
Summary: In this article we analyzed consumers’ attitudes for farmed Atlantic salmon that passed mandatory traceability and labeling systems in Canada. In this article, my main responsibilities were to identify factors that affected consumers’ decisions to purchase farm-raised Atlantic salmon. The results of our research showed that consumers, on average, perceive the benefits of traceability and labeling systems on farmed Atlantic salmon in spite of its driving up the product price.
A Nonparametric Extension of Generalized Quadratic Box-Cox Models in Measuring Technical Efficiency
Applied Economics
Summary: In this paper we extended the generalized Box-Cox model to develop a nonparametric regression function using the Additivity and Variance Stabilization algorithm. In this article my main task was to use a nonparametric method that considers random noise in the data. We estimated technical efficiency scores of a group of dairy producers from New York. This model can be applied to any industry.
Comparing Nonparametric to Parametric Interaction Terms in Generalized Additive Models: Production Technology in the Canadian Cable Television Industry
International Journal of Data Analysis Techniques and Strategies
Summary: In this paper we developed a non-parametric cost function for the Canadian cable television industry through the 1990s using the theory of generalised additive models. My responsibility in this article was to have a deep understanding of the cable industry in Canada, especially the relationship between inputs used in the model and whether they were additive separable. I then tested the degree of separability among the inputs. This model can be applied to any industry.
An Application of the Residual Deviance Analysis in Testing Input Separability Restrictions
Applied Economics Letters
Summary: In this article we examined the separability of inputs in a production function estimated non-parametrically by using the theory of generalized additive models. My responsibility in this article was to examine separability of inputs that can be tested through examination of the marginal rate of technical substitution. In practice, it is a very important issue in an industry to know whether inputs are additive separable or not. If they are, then of the marginal rate of technical substitution between a pair of inputs will entirely depend on the amount of inputs used by a firm, which, in turn, affects the firm’s production cost per unit.
A General Solution to Popper or Production
Empirical Economics Letters
Summary: In this paper we tried to solve an ongoing debate over the use of appropriate functional form (production, cost, or profit) in the economic literature. We argued that part of the controversial discussion on the choice of functional form came from a lack of precise knowledge about the true relationship between the dependent and independent variables, which cannot be identified by using parametric econometrics. My major responsibilities in this article were to use a method of response transformation model and applied it to a sample of data collected from a group of dairy producers in New York. This model can be applied to any industry.
Estimating Technical Efficiency of Ontario Dairy Producers using the Marginal-Integration Method
Empirical Economics Letters
Summary: In this article we estimated a stochastic nonparametric production frontier function known as the marginal-integration method and applied it to a sample of dairy producers from Ontario. I chose this technique because it takes less memory, decreases running time, and minimizes computational operations. In practice, it is important for firms to know how efficient their factors of production are. Studies like ours will help all stakeholders in the industry including managers and policymakers to reduce their production cost by improving the efficiency of inputs they use in the production process.
