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Showing 6 results for NaghiZadeh
Mehran Naghizadeh Qomi, Shokofa Kabiri,
Volume 17, Issue 2 (3-2013)
Abstract
In this paper, we investigate the relation between two variables where the one is measured with the ratio or interval scale and the other with the nominal. In this cases, we use from serial correlation coefficient. Computation of some serial coefficient such as biserial and point-biserial coefficient is carried out with some examples and R program.
Mehran Naghizadeh Qomi, Azadeh Kiapour,
Volume 18, Issue 2 (3-2014)
Abstract
In this paper, we obtain unbiased estimators of e using stopping time random variables and simulation.
Mehran Naghizadeh Qomi, Ohammad Taghi Kamel Mirmostafaee, ,
Volume 20, Issue 2 (10-2015)
Abstract
Tolerance interval is a random interval that contains a proportion of the population with a determined confidence
level and is applied in many application fields such as reliability and quality control. In this paper, based on record
data, we obtain a two-sided tolerance interval for the exponential population. An example of real record data is
presented. Finally, we discuss the accuracy of proposed tolerance intervals through a simulation study.
Mehran Naghizadeh Qomi, Azita Norozi Firoz,
Volume 21, Issue 1 (9-2016)
Abstract
Tolerance interval is a random interval that contains a proportion of the population with a determined confidence level and is applied in many application fields such as reliability and quality control. In this educational paper, we investigate different methods for computing tolerance interval for the binomial random variable using the package Tolerance in statistical software R.
Maryam Parsaeian, Sima Naghizadeh, Habib Naderi,
Volume 23, Issue 1 (9-2018)
Abstract
Explaining the problem. The equating process is used to compare the scores of the two different tests with the same theme. The goal of this research is finding the best method of equating data using Logistic model.
Method. we are using the data of Ph.D. test in Statistic major for two consecutive years 92 and 93. For analyzing, we are specifically using the tests of Statistics major which includes 45 questions. Parameters of test and ability of individuals are considered according to the three parametrs model and by using the MULTILOG software. In this study, we are using the Mean-mean, Mean-Sigma, Haebara, and Stocking-Lord methods by considering the unequal groups with Anchor-test design, and we are using the root mean square error for choosing the optimal solution.
Conclusion. The results of this study show that the methods under characteristic curve are more accurate.
Farzad Eskandari, Sima Naghizadeh Ardebili, ,
Volume 25, Issue 2 (3-2021)
Abstract
The Internet of Things is suggested as the upcoming revolution in the Information and communication technology due to its very high capability of making various businesses and industries more productive and efficient. This productivity comes from the emergence of innovation and the introduction of new capabilities for businesses. Different industries have shown varying reactions to IOT, but what is clear is that IOT has applications in all Businesses. These applications have made significant progress in some industries such as health and transportation but is under development in others, namely agriculture and animal husbandry. In fact, the production of data bases on the Internet of Things is one of the main pillars in the field of big data and data science, Therefore, statistical concepts and models that are used in data science can be beneficially implemented in such data. Among the valid statistical models, Bayesian statistics for data is being utilized in these studies. In this research the fundamentals of Bayesian statistics for big data and most notably the data produced by IOT is explained. They have been Pragmatically examined in both road traffic as well as people’s social behavior towards using vehicles, which have had practically and scientifically valid results.
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