Jassim Hussain - Academia.edu (original) (raw)
Papers by Jassim Hussain
Nucleation and Atmospheric Aerosols, 2022
Nucleation and Atmospheric Aerosols, 2023
One of the important things provided by the fuzzy model is the determination of the membership fu... more One of the important things provided by the fuzzy model is the determination of the membership function. It is used in applications with the fuzzy reliability functions. These functions of distributions are with positive random variables. There are many belonging functions that have been studied by many researchers. The most used Functions are the trigonometric membership function and Trapezoidal membership function. In this paper, a beta membership function has been used, because it is more flexible in statistical applications. It is adopted in this research to study the classical method of obtaining estimation of the fuzzy reliability function of the new mixed distribution (Weibull-Raleigh-Exponential). A simulation method will be used to choose the best fuzzy value for this new mixed distribution.
Journal of physics, May 1, 2021
A new idea of mixing was introduced in this paper. Mixing parameters; pi where 0 ≤ pi ≤ 1 and ∑ i... more A new idea of mixing was introduced in this paper. Mixing parameters; pi where 0 ≤ pi ≤ 1 and ∑ i = 1 n p i = 1 are used to find a new distribution from mixing some distributions. Therefore, we can get many mixed distributions with several parameters. Three distributions Weibull, Rayleigh, and Exponential are mixed to get a new distribution which is more flexible than these distributions. The mixed distribution with a new parameter is representing the ratio of contribution of each of these distributions which are mixed. Several values of the mixing parameter were taken, and the properties of the mixed distribution were found. Two methods (MLE and OLS) of estimation are used to estimate the parameters of the new distribution. Simulation studies are used to prove the properties of new distribution and to apply the estimation method to estimate the parameters of new distribution.
Nucleation and Atmospheric Aerosols, 2022
INTERNATIONAL CONFERENCE OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING ICCMSE 2021
One of the important things provided by the fuzzy model is the determination of the membership fu... more One of the important things provided by the fuzzy model is the determination of the membership function. It is used in applications with the fuzzy reliability functions. These functions of distributions are with positive random variables. There are many belonging functions that have been studied by many researchers. The most used Functions are the trigonometric membership function and Trapezoidal membership function. In this paper, a beta membership function has been used, because it is more flexible in statistical applications. It is adopted in this research to study the classical method of obtaining estimation of the fuzzy reliability function of the new mixed distribution (Weibull-Raleigh-Exponential). A simulation method will be used to choose the best fuzzy value for this new mixed distribution.
JOURNAL OF ADMINISTRATION AND ECONOMICS, 2019
Journal of Physics: Conference Series
COVID-19 infection cases forecasting is a process of estimating future values based on historical... more COVID-19 infection cases forecasting is a process of estimating future values based on historical data which is playing an important role in health decision making in various fields. Daily infection cases of COVID-19 can be considered as a time series represent the growth of the number of infected persons in a population. Consequently, the growth models may be used to forecast any population growth such as population of infected people with the Covid-19 virus. The popular models of growth such as logistic, log-logistic, Gompertz, Weibull and Richards models are useful to describe the growth of many phenomena like an epidemic and the spread of the number of infected people. The main objective of this paper is to choose a successful growth model after comparing these models to make good use of the current data on COVID-19 in Iraq to better understand the spread of this disease and to forecast the future daily infection cases. AIC, BIC and other goodness of fit criteria and daily infec...
The binary (or binomial) logistic regression model (LRM) is one of the generalised linear models ... more The binary (or binomial) logistic regression model (LRM) is one of the generalised linear models (GLMs). It is used when the dependent variable is dichotomous and the independent variables are of any type. LRM are popular in many applications and in different disciplines including biomedical and social sciences. Assessing the goodness-of-fit (GOF) is considered to be the important step after fitting the model to show the adequacy of the LRM in fitting the observations. The GOF test is defined as an evaluation of how well the estimated outcomes agree with the observed data. Two techniques may be used to construct the GOF test statistics of chi-square type. The first technique is based on ungrouped observations. This technique is not preferred in the LRM for many reasons including that the obtained distribution an
The binary (or binomial) logistic regression model (LRM) is one of the generalised linear models ... more The binary (or binomial) logistic regression model (LRM) is one of the generalised linear models (GLMs). It is used when the dependent variable is dichotomous and the independent variables are of any type. LRM are popular in many applications and in different disciplines including biomedical and social sciences. Assessing the goodness-of-fit (GOF) is considered to be the important step after fitting the model to show the adequacy of the LRM in fitting the observations. The GOF test is defined as an evaluation of how well the estimated outcomes agree with the observed data. Two techniques may be used to construct the GOF test statistics of chi-square type. The first technique is based on ungrouped observations. This technique is not preferred in the LRM for many reasons including that the obtained distribution an
Journal of Physics: Conference Series, 2020
International Journal on Advanced Science, Engineering and Information Technology, 2020
International Journal of Quality, Statistics, and Reliability, 2008
The traditional variable selection methods for survival data depend on iteration procedures, and ... more The traditional variable selection methods for survival data depend on iteration procedures, and control of this process assumes tuning parameters that are problematic and time consuming, especially if the models are complex and have a large number of risk factors. In this paper, we propose a new method based on the global sensitivity analysis (GSA) to select the most influential risk factors. This contributes to simplification of the logistic regression model by excluding the irrelevant risk factors, thus eliminating the need to fit and evaluate a large number of models. Data from medical trials are suggested as a way to test the efficiency and capability of this method and as a way to simplify the model. This leads to construction of an appropriate model. The proposed method ranks the risk factors according to their importance.
Journal of Physics: Conference Series
A new idea of mixing was introduced in this paper. Mixing parameters; pi where 0 ≤ pi ≤ 1 and ∑ i... more A new idea of mixing was introduced in this paper. Mixing parameters; pi where 0 ≤ pi ≤ 1 and ∑ i = 1 n p i = 1 are used to find a new distribution from mixing some distributions. Therefore, we can get many mixed distributions with several parameters. Three distributions Weibull, Rayleigh, and Exponential are mixed to get a new distribution which is more flexible than these distributions. The mixed distribution with a new parameter is representing the ratio of contribution of each of these distributions which are mixed. Several values of the mixing parameter were taken, and the properties of the mixed distribution were found. Two methods (MLE and OLS) of estimation are used to estimate the parameters of the new distribution. Simulation studies are used to prove the properties of new distribution and to apply the estimation method to estimate the parameters of new distribution.
Periodicals of Engineering and Natural Sciences (PEN), 2020
Nowadays, frequent Infant Mortality for the married women are prevailing in Iraq. It may be also ... more Nowadays, frequent Infant Mortality for the married women are prevailing in Iraq. It may be also considered as a risky phenomenon in developing countries. It is the loss of an infant after viability. The estimated number is 2.5 million deaths occurring in the first month of life in 2017 alone. On the other hand, the survival rates of newborn infants reflect the quality of pregnancy care provided during work and viability and the infrastructure for the infant care in the different regions and countries of the world. Numerous risk factors are causing this phenomenon. Logistic regression is a statistical technique can be used to express the association between the number of infant mortality and the risk factors cause it. It helps to select the most influential risk factors for this case. The aim of this study is to use logistic regression to examine the association between biological, behavioral and lifestyle risk factors and the number of infant mortality, and to identify the most inf...
Nowadays, Parametric methods become unfavorable by researchers because of the restrictions on usi... more Nowadays, Parametric methods become unfavorable by researchers because of the restrictions on using them and losing the flexibility in estimating and analysis the data. Therefore, the researchers preferred the nonparametric method which proved their efficiency and capable to analysis the data without of predetermined assumptions. Consequently, the data and their included information are becoming who determine the functional shape for the studied population and there are no parameters instead of the observations. The objective of estimating the nonparametric regression function is to approximate the regression function to the real regression function. On the other hand, COVID-19 pandemic nowadays speared in all the countries one of them is Iraq. The function of infection speared have been studied in different countries but not in Iraq. Therefore, the aim of our research is to apply three nonparametric Kernel estimators with Gaussian weighted function to model and forecast the number ...
Time series has a leading position in statistical Analysis. Nowadays, many economic and industria... more Time series has a leading position in statistical Analysis. Nowadays, many economic and industrial operations have been built based on time series. These operations include predicting the product demand variation, the future product prices oscillation, the stock storing control etc. This paper presents a study to show the effect of transformation and smoothing on the performance of the time series. The research results have shown a significant improvement in time-series operation can be noticed when the principles of transformation and smoothing are applied on time series. Introduction Time series topic is one of the essential topics nowadays because it is starting to be applied to different types of science widely. Mathematical-statistical possesses in analyzing the time series have begun to provide important functions of estimation. Furthermore, other involved significant points have made important decisions, and they used to simulate some mathematics and statistics samples for th...
Nowadays, COVID-19 pandemic has a big effect on the different factors of the life for all the wor... more Nowadays, COVID-19 pandemic has a big effect on the different factors of the life for all the world. The problem of this study is the behavior, and the expected number of infections are not clear and did not studied in Iraq. Consequently, modeling and forecasting of the infection cases have an importance into various sectors of life. Several models have been proposed in last few months for enhancing the precision and efficiency of pandemic modeling and forecasting. The goal of this paper is to find the appropriate model specifying the behavior of the virus and to forecast the expected number of infections in the few period later. Forecasting of COVID-19 infection cases is important to provide an indicator will be used by the public health authorities in Iraq for different purposes. Several models and an original time series of COVID-19 infection cases in Iraq was analyzed to select the appropriate model and use it to forecast the future number of infections and death. The results of...
British Journal of Mathematics & Computer Science, 2015
Nucleation and Atmospheric Aerosols, 2022
Nucleation and Atmospheric Aerosols, 2023
One of the important things provided by the fuzzy model is the determination of the membership fu... more One of the important things provided by the fuzzy model is the determination of the membership function. It is used in applications with the fuzzy reliability functions. These functions of distributions are with positive random variables. There are many belonging functions that have been studied by many researchers. The most used Functions are the trigonometric membership function and Trapezoidal membership function. In this paper, a beta membership function has been used, because it is more flexible in statistical applications. It is adopted in this research to study the classical method of obtaining estimation of the fuzzy reliability function of the new mixed distribution (Weibull-Raleigh-Exponential). A simulation method will be used to choose the best fuzzy value for this new mixed distribution.
Journal of physics, May 1, 2021
A new idea of mixing was introduced in this paper. Mixing parameters; pi where 0 ≤ pi ≤ 1 and ∑ i... more A new idea of mixing was introduced in this paper. Mixing parameters; pi where 0 ≤ pi ≤ 1 and ∑ i = 1 n p i = 1 are used to find a new distribution from mixing some distributions. Therefore, we can get many mixed distributions with several parameters. Three distributions Weibull, Rayleigh, and Exponential are mixed to get a new distribution which is more flexible than these distributions. The mixed distribution with a new parameter is representing the ratio of contribution of each of these distributions which are mixed. Several values of the mixing parameter were taken, and the properties of the mixed distribution were found. Two methods (MLE and OLS) of estimation are used to estimate the parameters of the new distribution. Simulation studies are used to prove the properties of new distribution and to apply the estimation method to estimate the parameters of new distribution.
Nucleation and Atmospheric Aerosols, 2022
INTERNATIONAL CONFERENCE OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING ICCMSE 2021
One of the important things provided by the fuzzy model is the determination of the membership fu... more One of the important things provided by the fuzzy model is the determination of the membership function. It is used in applications with the fuzzy reliability functions. These functions of distributions are with positive random variables. There are many belonging functions that have been studied by many researchers. The most used Functions are the trigonometric membership function and Trapezoidal membership function. In this paper, a beta membership function has been used, because it is more flexible in statistical applications. It is adopted in this research to study the classical method of obtaining estimation of the fuzzy reliability function of the new mixed distribution (Weibull-Raleigh-Exponential). A simulation method will be used to choose the best fuzzy value for this new mixed distribution.
JOURNAL OF ADMINISTRATION AND ECONOMICS, 2019
Journal of Physics: Conference Series
COVID-19 infection cases forecasting is a process of estimating future values based on historical... more COVID-19 infection cases forecasting is a process of estimating future values based on historical data which is playing an important role in health decision making in various fields. Daily infection cases of COVID-19 can be considered as a time series represent the growth of the number of infected persons in a population. Consequently, the growth models may be used to forecast any population growth such as population of infected people with the Covid-19 virus. The popular models of growth such as logistic, log-logistic, Gompertz, Weibull and Richards models are useful to describe the growth of many phenomena like an epidemic and the spread of the number of infected people. The main objective of this paper is to choose a successful growth model after comparing these models to make good use of the current data on COVID-19 in Iraq to better understand the spread of this disease and to forecast the future daily infection cases. AIC, BIC and other goodness of fit criteria and daily infec...
The binary (or binomial) logistic regression model (LRM) is one of the generalised linear models ... more The binary (or binomial) logistic regression model (LRM) is one of the generalised linear models (GLMs). It is used when the dependent variable is dichotomous and the independent variables are of any type. LRM are popular in many applications and in different disciplines including biomedical and social sciences. Assessing the goodness-of-fit (GOF) is considered to be the important step after fitting the model to show the adequacy of the LRM in fitting the observations. The GOF test is defined as an evaluation of how well the estimated outcomes agree with the observed data. Two techniques may be used to construct the GOF test statistics of chi-square type. The first technique is based on ungrouped observations. This technique is not preferred in the LRM for many reasons including that the obtained distribution an
The binary (or binomial) logistic regression model (LRM) is one of the generalised linear models ... more The binary (or binomial) logistic regression model (LRM) is one of the generalised linear models (GLMs). It is used when the dependent variable is dichotomous and the independent variables are of any type. LRM are popular in many applications and in different disciplines including biomedical and social sciences. Assessing the goodness-of-fit (GOF) is considered to be the important step after fitting the model to show the adequacy of the LRM in fitting the observations. The GOF test is defined as an evaluation of how well the estimated outcomes agree with the observed data. Two techniques may be used to construct the GOF test statistics of chi-square type. The first technique is based on ungrouped observations. This technique is not preferred in the LRM for many reasons including that the obtained distribution an
Journal of Physics: Conference Series, 2020
International Journal on Advanced Science, Engineering and Information Technology, 2020
International Journal of Quality, Statistics, and Reliability, 2008
The traditional variable selection methods for survival data depend on iteration procedures, and ... more The traditional variable selection methods for survival data depend on iteration procedures, and control of this process assumes tuning parameters that are problematic and time consuming, especially if the models are complex and have a large number of risk factors. In this paper, we propose a new method based on the global sensitivity analysis (GSA) to select the most influential risk factors. This contributes to simplification of the logistic regression model by excluding the irrelevant risk factors, thus eliminating the need to fit and evaluate a large number of models. Data from medical trials are suggested as a way to test the efficiency and capability of this method and as a way to simplify the model. This leads to construction of an appropriate model. The proposed method ranks the risk factors according to their importance.
Journal of Physics: Conference Series
A new idea of mixing was introduced in this paper. Mixing parameters; pi where 0 ≤ pi ≤ 1 and ∑ i... more A new idea of mixing was introduced in this paper. Mixing parameters; pi where 0 ≤ pi ≤ 1 and ∑ i = 1 n p i = 1 are used to find a new distribution from mixing some distributions. Therefore, we can get many mixed distributions with several parameters. Three distributions Weibull, Rayleigh, and Exponential are mixed to get a new distribution which is more flexible than these distributions. The mixed distribution with a new parameter is representing the ratio of contribution of each of these distributions which are mixed. Several values of the mixing parameter were taken, and the properties of the mixed distribution were found. Two methods (MLE and OLS) of estimation are used to estimate the parameters of the new distribution. Simulation studies are used to prove the properties of new distribution and to apply the estimation method to estimate the parameters of new distribution.
Periodicals of Engineering and Natural Sciences (PEN), 2020
Nowadays, frequent Infant Mortality for the married women are prevailing in Iraq. It may be also ... more Nowadays, frequent Infant Mortality for the married women are prevailing in Iraq. It may be also considered as a risky phenomenon in developing countries. It is the loss of an infant after viability. The estimated number is 2.5 million deaths occurring in the first month of life in 2017 alone. On the other hand, the survival rates of newborn infants reflect the quality of pregnancy care provided during work and viability and the infrastructure for the infant care in the different regions and countries of the world. Numerous risk factors are causing this phenomenon. Logistic regression is a statistical technique can be used to express the association between the number of infant mortality and the risk factors cause it. It helps to select the most influential risk factors for this case. The aim of this study is to use logistic regression to examine the association between biological, behavioral and lifestyle risk factors and the number of infant mortality, and to identify the most inf...
Nowadays, Parametric methods become unfavorable by researchers because of the restrictions on usi... more Nowadays, Parametric methods become unfavorable by researchers because of the restrictions on using them and losing the flexibility in estimating and analysis the data. Therefore, the researchers preferred the nonparametric method which proved their efficiency and capable to analysis the data without of predetermined assumptions. Consequently, the data and their included information are becoming who determine the functional shape for the studied population and there are no parameters instead of the observations. The objective of estimating the nonparametric regression function is to approximate the regression function to the real regression function. On the other hand, COVID-19 pandemic nowadays speared in all the countries one of them is Iraq. The function of infection speared have been studied in different countries but not in Iraq. Therefore, the aim of our research is to apply three nonparametric Kernel estimators with Gaussian weighted function to model and forecast the number ...
Time series has a leading position in statistical Analysis. Nowadays, many economic and industria... more Time series has a leading position in statistical Analysis. Nowadays, many economic and industrial operations have been built based on time series. These operations include predicting the product demand variation, the future product prices oscillation, the stock storing control etc. This paper presents a study to show the effect of transformation and smoothing on the performance of the time series. The research results have shown a significant improvement in time-series operation can be noticed when the principles of transformation and smoothing are applied on time series. Introduction Time series topic is one of the essential topics nowadays because it is starting to be applied to different types of science widely. Mathematical-statistical possesses in analyzing the time series have begun to provide important functions of estimation. Furthermore, other involved significant points have made important decisions, and they used to simulate some mathematics and statistics samples for th...
Nowadays, COVID-19 pandemic has a big effect on the different factors of the life for all the wor... more Nowadays, COVID-19 pandemic has a big effect on the different factors of the life for all the world. The problem of this study is the behavior, and the expected number of infections are not clear and did not studied in Iraq. Consequently, modeling and forecasting of the infection cases have an importance into various sectors of life. Several models have been proposed in last few months for enhancing the precision and efficiency of pandemic modeling and forecasting. The goal of this paper is to find the appropriate model specifying the behavior of the virus and to forecast the expected number of infections in the few period later. Forecasting of COVID-19 infection cases is important to provide an indicator will be used by the public health authorities in Iraq for different purposes. Several models and an original time series of COVID-19 infection cases in Iraq was analyzed to select the appropriate model and use it to forecast the future number of infections and death. The results of...
British Journal of Mathematics & Computer Science, 2015