Subjects -> MATHEMATICS (Total: 1013 journals)
    - APPLIED MATHEMATICS (92 journals)
    - GEOMETRY AND TOPOLOGY (23 journals)
    - MATHEMATICS (714 journals)
    - MATHEMATICS (GENERAL) (45 journals)
    - NUMERICAL ANALYSIS (26 journals)
    - PROBABILITIES AND MATH STATISTICS (113 journals)

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: 11)
American Journal of Mathematics and Statistics     Open Access   (Followers: 9)
Annals of Data Science     Hybrid Journal   (Followers: 14)
Annual Review of Statistics and Its Application     Full-text available via subscription   (Followers: 7)
Applied Medical Informatics     Open Access   (Followers: 11)
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: 4)
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: 3)
Frontiers in Applied Mathematics and Statistics     Open Access   (Followers: 1)
Game Theory     Open Access   (Followers: 2)
Geoinformatics & Geostatistics     Hybrid Journal   (Followers: 14)
Geomatics, Natural Hazards and Risk     Open Access   (Followers: 13)
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: 7)
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: 4)
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: 4)
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: 4)
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  
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: 1)
Nepalese Journal of Statistics     Open Access  
North American Actuarial Journal     Hybrid Journal   (Followers: 1)
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: 2)
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
VARIANSI : Journal of Statistics and Its application on Teaching and Research
Number of Followers: 0  

  This is an Open Access Journal Open Access journal
ISSN (Online) 2684-7590
Published by Universitas Negeri Makassar Homepage  [31 journals]
  • PERBANDINGAN METODE MOMEN, MAXIMUM LIKELIHOOD DAN BAYES DALAM MENDUGA
           PARAMETER DISTRIBUSI PARETO

    • Authors: A. Nurul Amalia, Muhammad Arif Tiro, Aswi Aswi
      Pages: 115 - 125
      Abstract: This study examines the estimation of Pareto distribution parameters using three different methods, namely the Moment, Maximum Likelihood, and Bayesian methods. The Pareto distribution is a continuous distribution with parameters k > 0 and α > 0. These two parameters are estimated by using three distinct parameter estimation methods. The goodness of fit measure used in choosing the best estimation method is the Mean Square Error (MSE) value. The smallest MSE is the best method. A simulation study is carried out as well as the case study of the data on the number of Gross National Income (GNI) per capita in Southeast Asian countries in 2019. The estimation and simulation results indicate that the best estimation method in estimating the parameters of the Pareto distribution is the Maximum Likelihood in terms of MSE value.Keywords: Pareto distribution, Moment Method, Maximum Likelihood IMethod, Bayesian Method
      PubDate: 2021-12-05
      DOI: 10.35580/variansiunm26374
      Issue No: Vol. 3, No. 3 (2021)
       
  • PENGENDALIAN KUALITAS KINERJA LEVEL SIX SIGMA PADA PT INDOFOOD CBP SUKSES
           MAKMUR TBK MAKASSAR

    • Authors: Faradiba Ahmad, Muhammad Arif Tiro, Muhammad Kasim Aidid
      Pages: 126 - 141
      Abstract: Six Sigma is a combination of several statistical quality control methods that focus on reducing variations in the process so that it can suppress production in the form of goods or services to approach zero defects. The six sigma systematic stages are called DMAIC (Define, Measure, Analyze, Improve, and Control) which is a continuous process which, if carried out optimally throughout the system, can increase the productivity of a company. There are four kinds of quality characteristics or CTQ in the production of instant noodles at PT Indofood CBP Sukses Makmur Tbk Makassar. The four CTQs are HH, HP, HHPGK, and HHPG. The CTQ was then implemented using the six sigma method and the DPMO values from October-December 2019 were as follows 4,457.90, 5,404.26, and 4,827.45 and if the DPMO value was converted to the six sigma level it would be 4.11σ, 4.04σ, and 4.08σ. To increase the productivity of related companies to approach zero defects, the application of the six sigma method must be carried out optimally so that the sigma level of instant noodle production can increase.Keywords: Regression, resampling, bootstrap, jackknife
      PubDate: 2021-12-05
      DOI: 10.35580/variansiunm25169
      Issue No: Vol. 3, No. 3 (2021)
       
  • Pendekatan persamaan struktural pada model regresi error spasial (Kasus:
           PDRB Sulawesi Selatan)

    • Authors: Muhammad Kasim Aidid, Zulkifli Rais, Muhammad Fahmuddin S
      Pages: 142 - 147
      Abstract: The spatial autocorrelation model studied in the framework of structural equations is the spatial error regression model. The results of this study are applied to South Sulawesi's Gross Regional Domestic Product (GRDP) data. For parameter estimation using open source software Mx. To implement the spatial error model in SEM, two new sets of weighted spatial variables need to be formed, namely W based on the dependent variable (PW) and ηW based on the independent variable (PW) and ξW based on the independent variable (QW). Since in the case of the latent model, the variables P and Q cannot be observed directly, then ηW and ξW are directly defined by the observation variables (indicators) Y yW and Y xW which are related to each other as Yy and Yx to η and ξ. obtained a model that represents the spatial error in SEM. By using South Sulawesi GRDP data where y represents the per capita GRDP in the Regency/City, x1 and x2 respectively represent the value of the Mining sector and the building sector in the Regency/City. XW1 represents first-order contiguity spatially lagged for trade and XW2 represents first-order contiguity spatially lagged for agriculture. yW denotes spatially lagged first-order contiguity for GRDP. (1−λ)γ0 represents the unit variable coefficient. From the model it can be stated that GRDP (y) is influenced by several sectors in the economy such as mining (x1) and building (x2). In addition, there is a location effect (Spatial Effect) that affects the GRDP in South Sulawesi. Based on the final results obtained, it is known that λ = 0,16 which indicates that there is a dependency on the GRDP data in South Sulawesi in 2008 between one district/city and another district/city based on the spatial correction. Areas that are centers of mining and construction in South Sulawesi are mutually dependent, causing dependence on GRDP data, this can be seen in the positive covariance value between mining lagged, and building lagged, and lagged GRDPKeywords: Effect Spatial, Error Spatial, SEM, GRDP
      PubDate: 2021-12-05
      DOI: 10.35580/variansiunm26380
      Issue No: Vol. 3, No. 3 (2021)
       
  • PERBANDINGAN METODE PCA-SVM DAN SVM UNTUK KLASIFIKASI INDEKS KEPUASAN
           MASYARAKAT TERHADAP LAYANAN PENDIDIKAN DI KABUPATEN JENEPONTO

    • Authors: Nur Ikhwana, Muhammad Nusrang, Sudarmin Sudarmin
      Pages: 148 - 155
      Abstract: Support Vector Machine (SVM) is one of the classification methods used to find the best hyperplane by maximizing the distance between classes. SVM aims to build a model that can predict the given test data. The SVM method can be implemented easily and the testing time is short, but it needs to reduce the computation burden. One way that can be done is to perform feature extraction to get the main characteristics of the data. The method that can be used to extract features is Principal Component Analysis (PCA). PCA is used to reduce the dimensions of data which are generally used in numerical scale data. If the data in the study used categorical data, then the PCA used was Nonlinear PCA. The data used in this study is the Community Satisfaction Survey data in Jeneponto Regency. This study compares the PCA-SVM and SVM methods for the classification of the Jeneponto Regency Community Satisfaction Index. The overall PCA-SVM classification results are better than SVM with 100% accuracy.
      PubDate: 2021-12-05
      DOI: 10.35580/variansiunm22988
      Issue No: Vol. 3, No. 3 (2021)
       
  • Analisis Kruskal-Wallis Terhadap Kemampuan Numerik Siswa

    • Authors: Andi Quraisy, Wahyuddin Wahyuddin, Nur Hasni
      Pages: 156 - 161
      Abstract: This study aims to determine the differences in the numerical abilities of students from 4 classes, namely classes A, B, C, and D. The population in this study were students of class VII SMP Muhammadiyah 1 Makassar with a total sample of 57 students. The data collection technique used a numerical ability test instrument, then the data obtained were analyzed using descriptive analysis and Kruskal-Wallis nonparametric analysis. The results of the descriptive analysis obtained that the average value of the numerical abilities of students in grades A, B, C, and D was not much different, namely 76.13; 78.4; 76.57; 77.23. Meanwhile, the results of the Kruskal Wallis analysis showed that there was no significant difference in the grades of A, B, C, and D numerical abilitiesKeywords: Mann-Whitney test, Non-parametric test,  Problem Based Learning Model
      PubDate: 2021-12-16
      DOI: 10.35580/variansiunm29957
      Issue No: Vol. 3, No. 3 (2021)
       
  • Regresi Logistik Backward Elimination pada Risiko Penyebaran Covid-19 di
           Jawa Timur

    • Authors: Wara Pramesti, Windi Utami, Fenny Fitriani
      Pages: 162 - 170
      Abstract: AbstractCorona Virus Disease 2019 or commonly called Covid-19 is a type of virus that can infect the human lungs and can cause fatal diseases such as Middle East Respiratory Syndrome (MERS) and Severe Acute Respiratory Syndrome (SARS). East Java Province is one of the provinces in Indonesia that has been exposed to Covid-19 with a high ranking, which is at number 3 in Indonesia (Kompas.com, September 2020), so based on this, of course there are factors that affect the level of risk of spreading the virus. , so we need a model that can be used to determine the factors that are thought to have an effect. The risk of spreading the virus is high, medium and low. The Ordinal Logistics Regression method is one method that can be used to model the factors that are thought to affect the level of risk of the spread of the corona virus in East Java, because ordinal logistic regression has an ordinal-scale response variable according to the level of spread that occurs. The results of the model fit test analysis showed that the logit model was feasible to use. Simultaneous testing of parameter estimates with a value of G2 = 25.64 means that the logit model is simultaneously significant to the response variable. The selection of the backward elimination model shows that the number of Covid-19 deaths and the average household member have a significant effect on the risk of spreading Covid-19 in East Java. The odds ratio for the number of Covid-19 deaths is 1.044. This shows that for every unit increase in the number of Covid-19 deaths, an area with a low or moderate risk status of 1.044 times will become a medium and high risk. The odds ratio value for the average number of households is 0.079, indicating that for every one-unit increase in the average number of households, an area with a low or moderate risk status of 0.079 times will be at medium and high risk. Keywords : Covid-19, Ordinal Regresion Logistic Analysis, Backward Elimination, Odds Ratio
      PubDate: 2021-12-22
      DOI: 10.35580/variansiunm26132
      Issue No: Vol. 3, No. 3 (2021)
       
 
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