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Institution

Instituto Tecnológico Autónomo de México

EducationMexico City, Mexico
About: Instituto Tecnológico Autónomo de México is a education organization based out in Mexico City, Mexico. It is known for research contribution in the topics: Politics & Population. The organization has 1098 authors who have published 2532 publications receiving 39083 citations. The organization is also known as: Instituto Tecnologico Autonomo de Mexico & Mexico Autonomous Institute of Technology.


Papers
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Journal ArticleDOI
TL;DR: All possible configurations of the masses with respect to the united circle are analyzed, and it is shown when there are or there are not masses which generate relative equilibria for each given configuration.

8 citations

Journal ArticleDOI
TL;DR: In this article, a restricted forecasting compatibility test for vector autoregressive error correction models is analyzed and a variance-covariance matrix associated with the restrictions can be used to cancel out model dynamics and interactions between restrictions.

8 citations

Proceedings ArticleDOI
07 Dec 2003
TL;DR: In this paper, an approach for modeling a random input (e.g., demand) in simulation experiments is presented, where the family of distributions proposed for modeling demand should include two types of parameters: the ones capturing information of historical data and the ones that depend on the particular scenario that is to be simulated.
Abstract: In order to postpone production planning based on information obtained close to the time of sale, decision support systems for supply chain management often include demand forecasts based on little historical data and/or subjective information. Particularly, when simulation models for analyzing decisions related to safety inventories, lot sizing or lead times are used, it is convenient to model (daily) demand by considering historical data, as well as information (often subjective) of the near future. This article presents an approach for modeling a random input (e.g., demand) in simulation experiments. Under this approach, the family of distributions proposed for modeling demand should include two types of parameters: the ones that capture information of historical data and the ones that depend on the particular scenario that is to be simulated. The approach is extended to the case where uncertainty on the appropriate family of distributions is present.

8 citations

Journal Article
TL;DR: In this paper, a study about how graphs of functions of two-variables are taught in calculus courses is presented, in particular in the techniques introduced to draw and analyze these graphs.
Abstract: This is a study about how graphs of functions of two-variables are taught. We are interested in particular in the techniques introduced to draw and analyze these graphs. This continues previous work dedicated to students’ understanding of topics of twovariable functions in multivariable calculus courses. The model of the “moments of study” from the Anthropological Theory of the Didactic (ATD) is used to analyze the didactical organization of the topic of interest in a popular calculus textbook, and in a typical classroom presentation. In so doing we obtain information about the institutional dependence of findings in previous studies.

8 citations

Journal ArticleDOI
TL;DR: This article found that managers are not overoptimistic: sales growth forecasts on average do not exceed realizations, and over-precise: they underestimate future sales growth volatility, leading to overreaction to firm-level shocks and overspend on adjustment costs, destroying 2.1% to 6.8% of the typical firm value.

8 citations


Authors

Showing all 1112 results

NameH-indexPapersCitations
Stanislav Pospisil10596644510
Romeo Ortega8277830251
Enrique Alba5753014535
Maria Merino5619011282
Manuel A. S. Santos472559081
Aaron Tornell4613910575
Georges Zaccour433197245
Carlos Velasco422206186
Francisco J. Cervantes371445401
Hussain Shareef353765377
Diego Restuccia31955817
Stephen Haber30984326
Igor Prünster291063033
Víctor M. González281654209
Antonio Lijoi281233066
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20235
202236
2021175
2020133
2019143
2018136