IRAQI JOURNAL OF STATISTICAL SCIENCES最新文献_第5页

Statistical Analysis of Ordinal Response Variable: A Comparative Study 有序响应变量的统计分析:比较研究

IRAQI JOURNAL OF STATISTICAL SCIENCES Pub Date : 2022-12-01 DOI: 10.33899/iqjoss.2022.176204

Liqaa Alhamdany, Zaid Tariq Salah

引用次数: 0

Use The Coiflets and Daubechies Wavelet Transform To Reduce Data Noise For a Simple Experiment 用coiflet和daubecies小波变换去噪数据做一个简单的实验

IRAQI JOURNAL OF STATISTICAL SCIENCES Pub Date : 2022-12-01 DOI: 10.33899/iqjoss.2022.176225

Mahmood Jader, Sabah Manfi Redha

引用次数: 0

Constructing a Multilevel Modeling to High-Resolution CT (HRCT) Lung in Patients with COVID-19 Infection 构建新型冠状病毒感染患者肺部高分辨率CT (HRCT)多层次模型

IRAQI JOURNAL OF STATISTICAL SCIENCES Pub Date : 2022-12-01 DOI: 10.33899/iqjoss.2022.176224

DIidar Rashid, M. Faqe

{"title":"Constructing a Multilevel Modeling to High-Resolution CT (HRCT) Lung in Patients with COVID-19 Infection","authors":"DIidar Rashid, M. Faqe","doi":"10.33899/iqjoss.2022.176224","DOIUrl":"https://doi.org/10.33899/iqjoss.2022.176224","url":null,"abstract":": The coronavirus disease, also called COVID-19 is caused by the SARS-CoV-2 virus. Most the people contaminated with the virus will experience mild to moderate symptoms of respiratory diseases. The aim of this paper is constructing a model by multilevel modeling for these patients who sufferers by coronaviruses, we got seven hospitals which totals (636) patients in private and public that 27% from Erbil, 26% from Sulaimani, 23% from Duhok and 24% from Halabja from the period (September 1th, 2019 to February 1th, 2022). In these modelling of multilevel restricted maximum likelihood estimation (RMLE) and full maximum likelihood (FML) acclimate estimate the parameters of multilevel models (fixed and random). The application was on the HRCT lungs of patients, seven hospitals were selected randomly among the county in Kurdistan region of Iraq. The result shows that all three variables are significant at the hospital level, but in the two final models add level-2 predictor (Doctor Experience) that interaction with level-1 predictor (smoker), which is far from significant. However, there is a significant relationship between being a diabetic and having a CT scan, but the relationship between smoking and having a CT scan is not significant.","PeriodicalId":351789,"journal":{"name":"IRAQI JOURNAL OF STATISTICAL SCIENCES","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131964738","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Heuristic Approaches for Solving bi-objective Single Machine Scheduling Problems 求解双目标单机调度问题的启发式方法

IRAQI JOURNAL OF STATISTICAL SCIENCES Pub Date : 2022-12-01 DOI: 10.33899/iqjoss.2022.176202

Hawzhin Salh, Ayad M. Ramadan

引用次数: 0

Bayesian Inference of a Non normal Multivariate Partial Linear Regression Model 非正态多元偏线性回归模型的贝叶斯推断

IRAQI JOURNAL OF STATISTICAL SCIENCES Pub Date : 2021-12-01 DOI: 10.33899/iqjoss.2021.169967

Sarmad Abdulkhaleq Salih, Emad H. Aboudi

{"title":"Bayesian Inference of a Non normal Multivariate Partial Linear Regression Model","authors":"Sarmad Abdulkhaleq Salih, Emad H. Aboudi","doi":"10.33899/iqjoss.2021.169967","DOIUrl":"https://doi.org/10.33899/iqjoss.2021.169967","url":null,"abstract":"This research includes the Bayesian estimation of the parameters of the multivariate partial linear regression model when the random error follows the matrix-variate generalized modified Bessel distribution and found the statistical test of the model represented by finding the Bayes factor criterion, the predictive distribution under assumption that the shape parameters are known. The prior distribution about the model parameters is represented by non-informative information, as well as the simulate on the generated data from the model by a suggested way based on different values of the shape parameters, the kernel function used in the generation was a Gaussian kernel function, the bandwidth (Smoothing) parameter was according to the rule of thumb. It found that the posterior marginal probability distribution of the location matrix θ and the predictive probability distribution is a matrix-t distribution with different parameters, the posterior marginal probability distribution of the scale matrix Σ is proper distribution but it does not belong to the conjugate family, Through the Bayes factor criterion, it was found that the sample that was used in the generation process was drawn from a population that does not belong to the generalized modified Bessel population.","PeriodicalId":351789,"journal":{"name":"IRAQI JOURNAL OF STATISTICAL SCIENCES","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133537584","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Using Neural Network For Control Of Fuzzy Storage 基于神经网络的模糊存储控制

IRAQI JOURNAL OF STATISTICAL SCIENCES Pub Date : 2021-12-01 DOI: 10.33899/iqjoss.2021.169989

Noor Sabah, Zena Modhur

引用次数: 0

Air Pollution Forecasting using Hybrid MLR-RNN Method with Time-Stratified Method 基于时间分层混合MLR-RNN方法的大气污染预测

IRAQI JOURNAL OF STATISTICAL SCIENCES Pub Date : 2021-12-01 DOI: 10.33899/iqjoss.2021.169962

Khetam Alzubaidy, O. Hannon

{"title":"Air Pollution Forecasting using Hybrid MLR-RNN Method with Time-Stratified Method","authors":"Khetam Alzubaidy, O. Hannon","doi":"10.33899/iqjoss.2021.169962","DOIUrl":"https://doi.org/10.33899/iqjoss.2021.169962","url":null,"abstract":"studying and forecasting Particular matter (PM10) is necessary to control and reduce the damage of environment and human health. There are many pollutants as sources of air pollution may effect on PM10 variable. This type of dataset can be classified as anonlinear. Studied datasets have been taken from climate station in Malaysia. Multiple Linear Regression (MLR) is used as alinear statistical method for PM10 forecasting through its influencing by corresponding climate variables, therefore it may reflect inaccurate results when used with nonlinear datasets. Time stratified (TS) method in different styles is implemental for satisfying more homogeneity of datasets. It includes ordering similar seasons in different years together to formulate anew variable smoother than their original. To improve the results of forecasting, Recurrent Neural Network (RNN) has been suggested to be used after combining with MLR in hybrid MLR-RNN method in this study. In general, the results of forecasting were the best with using time stratified approach. In addition, the results of hybrid method were outperformed comparing to MLR model. As conclusion in this study, RNN and TS can be used as active approaches to obtain better forecasting results with nonlinear datasets in which PM10 is to dependent variable.","PeriodicalId":351789,"journal":{"name":"IRAQI JOURNAL OF STATISTICAL SCIENCES","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117068293","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Comparison of Two Methods for Estimating Parameters of the Model Binary Logistic Regression 二元逻辑回归模型参数估计的两种方法的比较

IRAQI JOURNAL OF STATISTICAL SCIENCES Pub Date : 2021-12-01 DOI: 10.33899/iqjoss.2021.169971

F. Fathi, Safaa Alsaffawi

引用次数: 0

مشکلة حقیبة المستثمر متعدد الأبعاد باستعمال الخوارزمیات المستوحاة من الطبیعة – مراجعة مقال 使用从“塔”中产生的“多维生”(hiciabe)问题——请参阅文章#)

IRAQI JOURNAL OF STATISTICAL SCIENCES Pub Date : 2021-12-01 DOI: 10.33899/iqjoss.2021.169970

Niam Al-Thanoon

引用次数: 0

التنبؤ لبیانات تلوث الهواء باستخدام الطریقة الهجینة RNN-Wavelet بالاعتماد على نموذج MLR 根据MLR模型预测((RNN-Wavelet)的大气污染数据

IRAQI JOURNAL OF STATISTICAL SCIENCES Pub Date : 2021-12-01 DOI: 10.33899/iqjoss.2021.169969

Khetam Alzubaidy, Osama Hannon

引用次数: 0