Subjects -> MATHEMATICS (Total: 1013 journals)
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PROBABILITIES AND MATH STATISTICS (113 journals)                     

Showing 1 - 98 of 98 Journals sorted alphabetically
Advances in Statistics     Open Access   (Followers: 9)
Afrika Statistika     Open Access   (Followers: 1)
American Journal of Applied Mathematics and Statistics     Open Access   (Followers: 10)
American Journal of Mathematics and Statistics     Open Access   (Followers: 8)
Annals of Data Science     Hybrid Journal   (Followers: 17)
Annual Review of Statistics and Its Application     Full-text available via subscription   (Followers: 8)
Applied Medical Informatics     Open Access   (Followers: 12)
Asian Journal of Mathematics & Statistics     Open Access   (Followers: 8)
Asian Journal of Probability and Statistics     Open Access  
Austrian Journal of Statistics     Open Access   (Followers: 4)
Biostatistics & Epidemiology     Hybrid Journal   (Followers: 4)
Cadernos do IME : Série Estatística     Open Access  
Calcutta Statistical Association Bulletin     Hybrid Journal  
Communications in Mathematics and Statistics     Hybrid Journal   (Followers: 3)
Communications in Statistics - Simulation and Computation     Hybrid Journal   (Followers: 9)
Communications in Statistics: Case Studies, Data Analysis and Applications     Hybrid Journal  
Comunicaciones en Estadística     Open Access  
Econometrics and Statistics     Hybrid Journal   (Followers: 1)
Forecasting     Open Access   (Followers: 1)
Foundations and Trends® in Optimization     Full-text available via subscription   (Followers: 2)
Frontiers in Applied Mathematics and Statistics     Open Access   (Followers: 1)
Game Theory     Open Access   (Followers: 3)
Geoinformatics & Geostatistics     Hybrid Journal   (Followers: 13)
Geomatics, Natural Hazards and Risk     Open Access   (Followers: 14)
Indonesian Journal of Applied Statistics     Open Access  
International Game Theory Review     Hybrid Journal   (Followers: 1)
International Journal of Advanced Statistics and IT&C for Economics and Life Sciences     Open Access  
International Journal of Advanced Statistics and Probability     Open Access   (Followers: 6)
International Journal of Algebra and Statistics     Open Access   (Followers: 3)
International Journal of Applied Mathematics and Statistics     Full-text available via subscription   (Followers: 3)
International Journal of Ecological Economics and Statistics     Full-text available via subscription   (Followers: 5)
International Journal of Energy and Statistics     Hybrid Journal   (Followers: 3)
International Journal of Game Theory     Hybrid Journal   (Followers: 3)
International Journal of Mathematics and Statistics     Full-text available via subscription   (Followers: 2)
International Journal of Multivariate Data Analysis     Hybrid Journal  
International Journal of Probability and Statistics     Open Access   (Followers: 3)
International Journal of Statistics & Economics     Full-text available via subscription   (Followers: 6)
International Journal of Statistics and Applications     Open Access   (Followers: 2)
International Journal of Statistics and Probability     Open Access   (Followers: 3)
International Journal of Statistics in Medical Research     Hybrid Journal   (Followers: 5)
International Journal of Testing     Hybrid Journal   (Followers: 1)
Iraqi Journal of Statistical Sciences     Open Access  
Japanese Journal of Statistics and Data Science     Hybrid Journal  
Journal of Biometrics & Biostatistics     Open Access   (Followers: 5)
Journal of Cost Analysis and Parametrics     Hybrid Journal   (Followers: 5)
Journal of Environmental Statistics     Open Access   (Followers: 4)
Journal of Game Theory     Open Access   (Followers: 1)
Journal of Mathematical Economics and Finance     Full-text available via subscription  
Journal of Mathematics and Statistics Studies     Open Access  
Journal of Modern Applied Statistical Methods     Open Access   (Followers: 1)
Journal of Official Statistics     Open Access   (Followers: 2)
Journal of Quantitative Economics     Hybrid Journal  
Journal of Social and Economic Statistics     Open Access  
Journal of Statistical Theory and Practice     Hybrid Journal   (Followers: 2)
Journal of Statistics and Data Science Education     Open Access   (Followers: 2)
Journal of Survey Statistics and Methodology     Hybrid Journal   (Followers: 4)
Journal of the Indian Society for Probability and Statistics     Full-text available via subscription  
Jurnal Biometrika dan Kependudukan     Open Access   (Followers: 1)
Jurnal Ekonomi Kuantitatif Terapan     Open Access  
Jurnal Sains Matematika dan Statistika     Open Access  
Lietuvos Statistikos Darbai     Open Access  
Mathematics and Statistics     Open Access   (Followers: 2)
Methods, Data, Analyses     Open Access   (Followers: 1)
METRON     Hybrid Journal   (Followers: 2)
Nepalese Journal of Statistics     Open Access   (Followers: 1)
North American Actuarial Journal     Hybrid Journal   (Followers: 2)
Open Journal of Statistics     Open Access   (Followers: 3)
Open Mathematics, Statistics and Probability Journal     Open Access  
Pakistan Journal of Statistics and Operation Research     Open Access   (Followers: 1)
Physica A: Statistical Mechanics and its Applications     Hybrid Journal   (Followers: 6)
Probability, Uncertainty and Quantitative Risk     Open Access   (Followers: 2)
Ratio Mathematica     Open Access  
Research & Reviews : Journal of Statistics     Open Access   (Followers: 3)
Revista Brasileira de Biometria     Open Access  
Revista Colombiana de Estadística     Open Access  
RMS : Research in Mathematics & Statistics     Open Access  
Romanian Statistical Review     Open Access  
Sankhya B - Applied and Interdisciplinary Statistics     Hybrid Journal  
SIAM Journal on Mathematics of Data Science     Hybrid Journal   (Followers: 1)
SIAM/ASA Journal on Uncertainty Quantification     Hybrid Journal   (Followers: 3)
Spatial Statistics     Hybrid Journal   (Followers: 2)
Sri Lankan Journal of Applied Statistics     Open Access  
Stat     Hybrid Journal   (Followers: 1)
Stata Journal     Full-text available via subscription   (Followers: 8)
Statistica     Open Access   (Followers: 6)
Statistical Analysis and Data Mining     Hybrid Journal   (Followers: 23)
Statistical Theory and Related Fields     Hybrid Journal  
Statistics and Public Policy     Open Access   (Followers: 4)
Statistics in Transition New Series : An International Journal of the Polish Statistical Association     Open Access  
Statistics Research Letters     Open Access   (Followers: 1)
Statistics, Optimization & Information Computing     Open Access   (Followers: 3)
Stats     Open Access  
Synthesis Lectures on Mathematics and Statistics     Full-text available via subscription   (Followers: 1)
Theory of Probability and its Applications     Hybrid Journal   (Followers: 2)
Theory of Probability and Mathematical Statistics     Full-text available via subscription   (Followers: 2)
Turkish Journal of Forecasting     Open Access   (Followers: 1)
VARIANSI : Journal of Statistics and Its application on Teaching and Research     Open Access  
Zeitschrift für die gesamte Versicherungswissenschaft     Hybrid Journal  

           

Similar Journals
Journal Cover
Indonesian Journal of Applied Statistics
Number of Followers: 0  

  This is an Open Access Journal Open Access journal
ISSN (Online) 2621-086X
Published by Universitas Sebelas Maret Homepage  [27 journals]
  • Back Matter

    • Authors: Hasih Pratiwi
      PubDate: 2022-05-31
      DOI: 10.13057/ijas.v5i1.61628
      Issue No: Vol. 5, No. 1 (2022)
       
  • Pemilihan Metode Predictive Analytics dengan Machine Learning untuk
           Analisis dan Strategi Peningkatan Kualitas Kredit Perbankan

    • Authors: Aznovri Kurniawan, Ahmad Rifa'i, Moch Abdillah Nafis, Nimas Sefrida, Harry Patria
      Pages: 1 - 11
      Abstract: As a factor that determines bank’s profitability, loan quality, that is categorized based on debtor’s collectability classification, always gets attention and become main analysis topic in banking industry. Through recent development of statistics and data science, especially in predictive analytics using machine learning techniques, more comprehensive analysis and prediction in loan quality can be conducted. This research is intended to give example on application of predictive analytics using machine learning technique for analysis and strategy recommendation in increasing bank’s loan quality improvement. In this research, some machine learning classification methods are compared to conduct predictive analytics in loan quality with big data size (big data analytics). Computation result of different methods are compared and summarized, resulted in recommendation on most appropriate method to achieve this research objective. This research concluded that for imbalanced big data size such as bank’s loan collectability, Tree Ensemble method, further development of Decision Tree method that is commonly used in machine learning, is one of appropriate methods to get satisfactory result in this research. Imbalanced data that can result in false positive may be overcame by oversampling Synthetic Minority Oversampling Technique (SMOTE). This research scope is limited to analysis and prediction of debtor’s collectability for the next several months, combined with analysis and strategy recommendations based on product type, gender, and debtor’s occupation. Further predictive analytics for the next several years by including external factors, such as economic growth, is not covered in this research and possible to be conducted. As machine learning application in Indonesian banking industry analysis is still in early phase, this research is expected to become one of reference in application of predictive analytics using machine learning in banking industry. Keywords: predictive analytics; machine learning; loan collectability; loan quality
      PubDate: 2022-05-30
      DOI: 10.13057/ijas.v5i1.55483
      Issue No: Vol. 5, No. 1 (2022)
       
  • Analisis Faktor yang Berpengaruh terhadap Waktu Survival Pasien Penyakit
           Ginjal Kronis menggunakan Uji Asumsi Proportional Hazard

    • Authors: Assyifa Lala Pratiwi Hamid, Sri Subanti, Yuliana Susanti
      Pages: 12 - 18
      Abstract: Chronic kidney disease is a disease whose risk of death is always increasing. This disease was ranked as the 13th leading cause of death in Indonesia in 2017. One of the successful managements of chronic kidney disease can be seen from the possibility of survival of patients with chronic kidney disease. To identify the probability of survival of an object, survival analysis is used. One method of survival analysis that can be used to determine the survival time of patients with chronic kidney disease is Cox regression. Cox regression must satisfy the proportional hazard assumption, where the ratio of the two hazard values must be constant with time. The graphical method, namely the log-log graph, can be used to test the proportional hazard assumption, but the results are only used as a provisional estimate. In this study, the goodness of fit test was used to test the assumptions by calculating the correlation between the Schoenfeld residuals and the survival time rank. In conclusion, the variables of hypertension and haemodialysis frequency meet the proportional hazard assumption.Keywords: chronic kidney disease; Cox regression; goodness of fit; log-log graph; proportional hazard assumption
      PubDate: 2022-05-30
      DOI: 10.13057/ijas.v5i1.48121
      Issue No: Vol. 5, No. 1 (2022)
       
  • Pemodelan Kasus Kronis Filariasis di Indonesia Tahun 2019 Menggunakan
           Geographically Weighted Negative Binomial Regression (GWNBR)

    • Authors: Sri Rahayu Yogyana Sinurat, Ernawati Pasaribu
      Pages: 19 - 30
      Abstract: Filariasis is a mosquito-borne disease caused by filarial worms. In Indonesia, filariasis is the third most common vector-borne and zoonotic disease in the community. Patients who in the chronic stage will fell pain due to swelling and infection in the limbs so that it can ruin the daily activities, reduce work productivity and cause economic losses for both sufferers and the country. In 2019, there were 28 filariasis endemic provinces and only 6 non-endemic provinces. This shows that the treatment of filariasis has not been fully successful. This study aims to determine the general description of chronic cases of filariasis, identify spatial heterogeneity and analyze factors that influence the number of chronic cases of filariasis using GWNBR. The modeling results five provinces groups based on significant variables. Variables that have a significant effect in all provinces are the ratio of health facilities of 100,000 population, the percentage of regions with PHBS policies and the average humidity. Meanwhile, the significant variables in several provinces are the percentage of slum households, the percentage of poor people and the average air temperature.Keywords: filariasis; overdispersion; spatial heterogeneity; negative binomial; GWNBR
      PubDate: 2022-05-30
      DOI: 10.13057/ijas.v5i1.59127
      Issue No: Vol. 5, No. 1 (2022)
       
  • Analisis Sentimen dari Aplikasi Shopee Indonesia Menggunakan Metode
           Recurrent Neural Network

    • Authors: Herni Utami
      Pages: 31 - 38
      Abstract: Sentiment analysis on unbalanced data will cause classification errors where the classification results tend to be in the majority class. Therefore, it is necessary to handle unbalanced data. In this study, a combination of synthetic minority oversampling technique (SMOTE) and Tomek link methods will be used to handle unbalanced data. In this study, we use the Recurrent Neural Network (RNN) method to analyze the sentiment of Shopee application users based on review data. Shopee Indonesia application review data shows that around 80% of Shopee application users have positive sentiments and 20% have negative sentiments, which means the data is not balance. In this study, preprocessing process with combination of synthetic minority oversampling technique (SMOTE) and Tomek link method used to handle the condition. The performance of the result is quite good, namely 80% accuracy, 84.1% precision, 92.5% sensitivity, 30% specificity, and 88.1% F1-score. It is better than performance of sentiment analysis that without preprocessing to handle imbalanced data.Keywords: sentiment analysis; imbalanced data; Tomek link; SMOTE; RNN
      PubDate: 2022-05-30
      DOI: 10.13057/ijas.v5i1.56825
      Issue No: Vol. 5, No. 1 (2022)
       
  • Implementation of Transfer Learning for Covid-19 and Pneumonia Disease
           Detection Through Chest X-Rays Based on Web

    • Authors: Nindya Eka Apsari, Sugiyanto Sugiyanto, Sri Sulistijowati Handajani
      Pages: 39 - 47
      Abstract: Coronavirus disease 2019, known as COVID-19, attacks the human respiratory system caused by severe acute respiratory syndrome coronavirus-2 (SARS-Cov-2). COVID-19 disease and pneumonia show similar symptoms such as fever, cough, even headache. Diagnosis of pneumonia can be tested through diagnostic tests, including blood tests, chest X-rays, and pulse oximetry, while the diagnosis of COVID-19 recommended by WHO is with swab test (RT-PCR). But in fact, the swab test method takes a relatively long time, for about one to seven days, for the result, and is not cheap. For that, there needs to be a development that can be one of the options in diagnosing COVID-19 and pneumonia at once, especially since both diseases have similar symptoms. One option that can be done is the diagnosis using a chest X-ray. This research aims to detect COVID-19 disease and pneumonia through chest X-rays using transfer learning to increase the accuracy of disease diagnosis with a more efficient time. The architecture used is EfficientNet B0 with variations in optimization parameters, learning rates, and epochs. EfficientNet B0 Adam optimization with a learning rate of 0.001 in the 6th epochs is a great model that we obtained. Furthermore, the evaluation of the model got accuracy, precision, recall, and f1-score of 92%. Then the model visualization is done using Grad-CAM. To implement the best model, web application development is done to make it easier to detect COVID-19 disease and pneumonia.Keywords: COVID-19; pneumonia; EfficientNet; transfer learning; web
      PubDate: 2022-05-31
      DOI: 10.13057/ijas.v5i1.59442
      Issue No: Vol. 5, No. 1 (2022)
       
  • Structural Equation Model (SEM) dalam Pemodelan Kemiskinan di Pulau
           Sumatera

    • Authors: Hasrat Ifolala Zebua, Geni Andalria Harefa
      Pages: 48 - 57
      Abstract: Poverty is a serious issue that must be addressed immediately by countries in the world, including Indonesia. The Indonesian government has implemented a variety of poverty reduction projects, such as providing education and health insurance. The rising poverty rate is due to the poor quality of education and health care. On Sumatra, there are 5,83 million poor people or 22,06 percent of the total number of poor people in Indonesia. This statistic appears to be quite large, and the government should be concerned about it. Factors causing poverty such as education and health are latent variables that cannot be measured directly. The suitable statistical method used is Structural Equation Model (SEM). In SEM analysis, there are three types of model fit tests: measurement model fit with Confirmatory Factor Analysis (CFA), overall model fit, and structural model fit. The results indicated that the model was fit or suitable for the model's tests. From the SEM model that was formed, it was found that health had a negative and significant effect on poverty and education did not have a significant effect on poverty and 77 percent of the variation in poverty could be explained by the SEM model that was formed.Keywords: poverty; education; health; SEM; CFA
      PubDate: 2022-05-31
      DOI: 10.13057/ijas.v5i1.50493
      Issue No: Vol. 5, No. 1 (2022)
       
  • Perbandingan K-Nearest Neighbor dan Random Forest dengan Seleksi Fitur
           Information Gain untuk Klasifikasi Lama Studi Mahasiswa

    • Authors: Isran K Hasan, Resmawan Resmawan, Jefriyanto Ibrahim
      Pages: 58 - 66
      Abstract: Accreditation is a quality and feasibility assessment form in carrying out higher education. One of the factors that affect accreditation is the length of student study. In this study, the length of student study is classified by using the best attributes resulting from selecting information gain features. In optimizing the classification algorithm, we process the data by converting the original data into data that is ready to be mined. The next step is dividing the data into training and testing data so that the classification algorithm can be applied. This study gives the best four attributes, with K-nearest neighbor (K-NN) classification of 86.67% and random forest classification of 100%.Keywords: length of study; information gain; K-nearest neighbor; random forest
      PubDate: 2022-05-31
      DOI: 10.13057/ijas.v5i1.58056
      Issue No: Vol. 5, No. 1 (2022)
       
  • New Mathematical Properties of the Kumaraswamy Lindley Distribution

    • Authors: Samy Abd Elmoez Mahommed, Salah M. Mohamed
      Pages: 67 - 77
      Abstract: The Kumaraswamy Lindley distribution is a generalized distribution that has many applications in various fields, including physics, engineering, and chemistry. This paper introduces new mathematical properties for Kumaraswamy Lindley distribution such as probability weighted moments, moments of residual life, mean of residual life, reversed residual life, cumulative hazard rate function, and mean deviation. Keywords: Kumaraswamy Lindley distribution; probability weighted moments; residual  life; hazard rate; mean deviation
      PubDate: 2022-05-31
      DOI: 10.13057/ijas.v5i1.56206
      Issue No: Vol. 5, No. 1 (2022)
       
 
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