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: 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
Nepalese Journal of Statistics
Number of Followers: 1  

  This is an Open Access Journal Open Access journal
ISSN (Print) 2565-5213
Published by Nepal Journals Online Homepage  [154 journals]
  • Inverse Exponentiated Odd Lomax Exponential Distribution: Properties and
           Applications

    • Authors: Arun Kumar Chaudhary, Lal Babu Sah Telee, Vijay Kumar
      Pages: 1S - 9S
      Abstract: Mentioned in manuscript abstract.
      PubDate: 2022-12-27
      DOI: 10.3126/njs.v6i01.50819
      Issue No: Vol. 6, No. 01 (2022)
       
  • Impact of the Targeted Extension Program on Rice Productivity in Tamil
           Nadu, India

    • Authors: Parijat Ghosh, Suresh Babu, Deepayan Debnath, Khyam Paneru
      Pages: 1 - 14
      Abstract: Background: Based on a randomized experiment by treating one group of farmers with an extension package and the other group as usual in Thanjavur district of Tamil Nadu, India, we examined the impact of the targeted extension package on farmers’ rice yield. Objective: The objective of the study was to investigate whether the chosen targeted extension package would significantly increase farmers’ rice yields or not. Materials and Methods: We estimated a multiple linear regression model to determine the effect of several independent variables, including plot size, amount of money borrowed, and farmers’ income on the rice yield. Results: We found that the rice yield among the farmers who received the extension package had increased compared to the group of farmers with no extension support. The regression coefficient of extension (1 = yes, 0 = no) is statistically significant (p-value = 0.063) at a 10% level of significance. Conclusion: Assessing the impact of the targeted extension package on the farmers is important in utilizing good agricultural practices to increase rice productivity. We concluded that a targeted extension program is crucial for increasing rice yield among rural farmers in Southern India.  Keywords: Farm income, randomized control trial, rice yield, southern India, targeted extension.
      PubDate: 2022-12-27
      DOI: 10.3126/njs.v6i01.50796
      Issue No: Vol. 6, No. 01 (2022)
       
  • Burden of Respiratory Diseases Attributable to Household Air Pollution in
           Nepal: National and Provincial Estimates

    • Authors: Srijan Lal Shrestha
      Pages: 15 - 28
      Abstract: Background: Household air pollution (HAP) is widespread in Nepal particularly in rural poor households where use of unprocessed biomass fuels (wood, animal dung and crop residues) for cooking is abundant. Studies have shown that health effects associated with HAP are primarily respiratory and cardiovascular diseases which are amongst the top burden of diseases in Nepal. Objective: The study is conducted to estimate Attributable Fraction (AF) and corresponding Attributable Burden (AB) of diseases such as childhood pneumonia, acute respiratory infection/pneumonia and COPD/asthma which can be associated with HAP in Nepal, nationally and sub-nationally. Materials and Methods: Estimates on fuel use in Nepal disaggregated by rural and urban areas and provinces are obtained from Nepal Multiple Indicator Cluster Survey (NMICS), 2019 published by Central Bureau of Statistics (CBS). The corresponding total disease burdens of Nepal related to respiratory diseases are obtained from the Department of Health Services (DoHS) for 2019/20. Estimates of model coefficients of the targeted respiratory diseases that can be attributed to HAP are obtained from several studies conducted previously in Nepal. Methodology adopted by World Health Organization (WHO) for estimation of AF and AB is applied in the present analysis. Results: The estimated AF and AB of childhood pneumonia, ARI/pneumonia and COPD/asthma are obtained as 34.6% (95% CI = 7.4%-56.4%) and 7.3 (96% CI = 1.5-11.8) per 1000 under five children, 42.5% and 63.6 per 1000 population and 54.8% and 10.3 per 1000 population, respectively. AFs are found substantially higher (1.3-1.5 times) in rural Nepal compared to urban Nepal. Provincially, Karnali is found worst affected with highest attributions (45.3% - 65.6%) for the accounted burden of diseases and Bagmati found least affected with lowest attributions (18.7% - 34.6%) for the year 2019/20. Conclusion: HAP is found to be a potential risk factor with high attributions for the occurrence of respiratory ailments in Nepal.
      PubDate: 2022-12-27
      DOI: 10.3126/njs.v6i01.50799
      Issue No: Vol. 6, No. 01 (2022)
       
  • Inverse Exponentiated Odd Lomax Exponential Distribution: Properties and
           Applications

    • Authors: Arun Kumar Chaudhary, Lal Babu Sah Telee, Vijay Kumar
      Pages: 29 - 50
      Abstract: Background:  New family of distributions has important functions in generalization of distributions by modifying some existing distributions for getting more flexible irrespective to applied and practical view point. The Inverse Exponentiated Odd Lomax Exponential Distribution (IEOLE) having four parameters is suggested. Proposed model is based on T-X family of distribution which is the extended form of beta-generated distribution. Based on the LSE, MLE, and CVM methods, the parameters of the proposed distribution are estimated. Different model validation criteria and model comparisons are done by considering other existing models. Materials and methods: IEOLE is compound distribution derived by using theoretical concept of Odd Lomax Exponential distribution and T-X family of distribution. The parameters of the proposed distribution are estimated through the least square, Cramer–Von Mises and maximum likelihood methods. The applicability of the proposed model is evaluated using R programming on two real-life time data sets. Results: The statistical properties and different characteristics like the hazard rate function, the cumulative distribution function, quantile function, skewness, and kurtosis of the proposed model are discussed. Box plots, TTT plot, density fits etc. shows that the proposed model fits better to considered two real data sets. Different model validation criteria such as AIC, BIC, and CAIC are obtained and compared with some existing well-known probability distributions. Conclusion: This study presents new probability model called Inverse Exponentiated Odd Lomax Exponential distribution. The density curves of the model show that it is unimodal having right skewed. The suggested model has proven to be versatile for modeling real-world data due to its increasing-decreasing, right-skewed form. Also, the hazard rate function (HRF) graph is decreasing, decreasing-increasing or inverted bathtub shaped according to the value of the model constants. Different validation criteria show that the suggested model fits data well and the goodness-of-fit shows that proposed model has lesser test statistic value and higher p- value with respect to some existing models.
      PubDate: 2022-12-27
      DOI: 10.3126/njs.v6i01.50801
      Issue No: Vol. 6, No. 01 (2022)
       
  • A Comparison of Trend Models for Predicting Tea Production in Bangladesh

    • Authors: K. R. Das, N. Sultana, P. K. Karmokar, M. N. Hasan
      Pages: 51 - 62
      Abstract: Background: Tea (Camellia sinensis) is a manufactured popular beverage that is mostly consumed around the globe including Bangladesh. Tea consumptions are increasing day by day due to its healthcare effects in the world as well as in Bangladesh. To meet the ever-growing population’s demand in Bangladesh, it is important to predict the production of tea. Objective: Although it is found in the literatures that studies have examined different trend models for tea and agricultural crops, no such study has been found to choose best trend model for predicting the production of tea in Bangladesh. Therefore, an attempt is made to identify the best trend model based on different model selection criterion for the prediction of tea production in Bangladesh. Materials and Methods: Six trend models namely linear, logarithmic, inverse, quadratic, cubic, and compound were applied on tea production dataset (1976 to 2020) collected from the Food and Agriculture Organization Corporate Statistical Database (FAOSTAT) website. For justification of the model, different model section criteria have been checked. Results: The results showed that the compound trend model is the most suitable among considered trend models for predicting the tea production in Bangladesh. Finally, the yearly growth rate of tea production for the period from1976 to 2020 found the compound growth rate of tea production in Bangladesh as 1.02 per year. It is important to note that for the next five years, forecasted increasing rate could be 4840.91 tonnes for the yearly tea production of Bangladesh. Furthermore, remarkable increased progresses of production have been noticed as 23585.7 and 21691.01 tonnes, respectively for the years 2019 and 2020 by the re-estimated model due to the proper nourishing and maintaining the input supply chain from government ends.  Conclusion: In the respect of the growing demand, the best-fitted trend model applied herewith through outlier checking and related sophisticated justification tools on the tea production area could help to accumulate knowledge for the practitioner.
      PubDate: 2022-12-27
      DOI: 10.3126/njs.v6i01.50804
      Issue No: Vol. 6, No. 01 (2022)
       
  • On the Use of Logistic Regression Model and its Comparison with
           Log-binomial Regression Model in the Analysis of Poverty Data of Nepal

    • Authors: Krishna Prasad Acharya, Shankar Prasad Khanal, Devendra Chhetry
      Pages: 63 - 79
      Abstract: Background: Previous literatures have indicated that log-binomial regression model is an alternative for the logistic regression model for frequent occurrence of event of outcome. The comparison of the performance of these two models has been found with reference to clinical/epidemiological data. Nonetheless, the application of log-binomial model and its comparison with the logistic model for poverty data has not been described.  Objective: To compare logistic and log-binomial regression model in terms of variable selection, effect size, precision of effect size, goodness of fit, diagnostics, stability of the model, and the issue of failure convergence. Materials and Methods: Cross sectional data of 5988 households of Nepal Living Standard Survey 2010/11 has been used for the analysis. The performance of logistic and log-binomial model has been compared in terms of variable selection, effect size, and its precision for each covariate, goodness of fit using Hosmer - Lemeshow (H-L) test, diagnostics of the model, stability of the model using bootstrapping method, and the issue of failure convergence. Results: Logistic model overestimates the effect size, yields wider 95% confidence interval than that of log - binomial model for each covariate. The greater elevation in risk for covariates varies from 13% to 173%. Logistic model satisfies goodness of fit of the model (p = 0.534), diagnostics tests, and stability of the model. However, log-binomial model grossly violates the goodness of fit of the model (p = 0.0004) but satisfies the model diagnostics and stability criteria. Conclusion: Log-binomial model satisfies all criteria for model development and diagnostics except gross violation in goodness of fit of the model. However, logistic regression model satisfies all the criteria including goodness of fit of the model. On the basis of the entire comparison of model performance, logistic regression model is better fitted than the log-binomial model in fitting the poverty data set of Nepal.
      PubDate: 2022-12-27
      DOI: 10.3126/njs.v6i01.50806
      Issue No: Vol. 6, No. 01 (2022)
       
 
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