Subjects -> MATHEMATICS (Total: 1013 journals)
    - APPLIED MATHEMATICS (92 journals)
    - GEOMETRY AND TOPOLOGY (23 journals)
    - MATHEMATICS (714 journals)
    - MATHEMATICS (GENERAL) (45 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: 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  


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Sri Lankan Journal of Applied Statistics
Number of Followers: 0  

  This is an Open Access Journal Open Access journal
ISSN (Print) 1391-4987
Published by Sri Lanka Journals Online Homepage  [71 journals]
  • Estimation of the Parameters of Power Function Distribution based on

    • Abstract: This paper estimates the power function distribution parameters and predicts the future record values when samples are available only in the form of upper record values. We considered the maximum likelihood and Bayesian techniques for the estimation. We also construct asymptotic, bootstrap, and HPD confidence intervals for the unknown parameters. Bayes estimators are derived using the squared error loss function, entropy loss function, and Linex loss function using the Lindley approximation and importance sampling procedures. Finally, we conduct a simulation study to compare all the proposed estimation methods and analyse a real data set for illustration purposes. Published on 2021-10-31 00:00:00
  • New Exponential-Type Estimators of Finite Population Variance Using
           Auxiliary Information

    • Abstract: In this study, some existing finite population variance estimators for study variable have been modified using linear combination and power improvement techniques. Asymptotic properties (Biases and MSEs) of the suggested estimators are derived up to the terms of first-order approximation using Taylor’s Series expansion. The numerical illustration was also supported by six real-life data sets and simulated data set using R to corroborate the theoretical results. In general, the results reveal that the proposed estimators outperformed the existing estimators considered in the study. Published on 2021-10-31 00:00:00
  • Estimator of Domain Mean Using Stratified Sampling in the Presence on

    • Abstract: The present work investigated a direct estimator of domain mean which helps for future work in the field of small area estimation. Our investigation will helpful when the availability of non-response in strata which may or may not be the same in all the domains. We discussed the proposed estimators for domain mean utilizing stratified sampling with non-response and also studied its properties. Proposed estimator has compared with a direct ratio estimator for domain mean utilizing stratified sampling with non-response where, non-response is available approximately (30%) in the domain. We considered two situations in the first, non-responses are approximately (30%). However, in second case, different non-responses like 20 % and 40 % in the strata 1 and 2 respectively. An empirical study has been carried out for the data Sarndal et al. (1992) in terms of the mean square error. We obtained that proposed generalized investigation is more efficient than ratio estimator in case i over case ii. It is analyzed that the direct generalized investigation is a better choice over direct ratio estimate with or without non-responses in both the cases. Published on 2021-08-30 00:00:00
  • Factors Influencing for Severity of Road Traffic Accidents in Sri Lanka

    • Abstract: Road Traffic Accidents (RTAs) are one of the most prominent public health problems as it is a leading cause of death by injury and all deaths globally. This study therefore intended determine the factors associated with severity of RTAs in Sri Lanka (2005 - 2019) based on data driven decision making (DDDM) which would be useful for decision makers. Analysis of frequency tables with Chi-square statistics and binary logistic regression analysis were applied to derive the required inferences. When the variables were considered separately, all attributes of road characteristics, time & environmental characteristics vehicle characteristics and human & accident characteristics have significant association with severity of accident except gender of the driver. The fitted binary logistic model revealed that wet road surface, night with improper street lighting, night with good street lighting, rural area, normal weekend, holiday, alcohol test not tested, accidents due to the lack of attention of the driver, two wheels vehicles, age of vehicle less than 10 years and driver’s age under the age of 18 years have significantly contributed to occurrences of fatal accidents. The odds of happening fatal accidents in wet road surface 1.109 times higher than that it occurs in dry road surface. The odds of happening fatal accidents during night with improper street lighting is 1.518 times higher than that it occurs during daylight. The inferences derived from this study would be very useful for policy makers in order to minimize RTAs in Sri Lanka. Published on 2021-08-30 00:00:00
  • A Review on Misleading COVID-19 Statistics

    • Abstract: Coronavirus (COVID-19) is an infectious disease caused by a newly discovered virus (WHO, 2021) which has established worldwide spread and hence has become the most discussed topic. In explaining the severity of the disease, various statistics are utilized by various governing/non-governing bodies as well as by the general public. Intentionally or unintentionally a plethora of misleading statistics including count data comparisons, graphical representations, indices etc. have been released daily to media all around the world, irrespective of the computational complexity. This paper presents a collection of such instances along with possible rectifications to mitigate the adverse effect of misguided decisions made. Published on 2020-12-31 00:00:00
  • Application of K-Means and Fuzzy K-Means to Rice Dataset in Sierra Leone

    • Abstract: As k-means and fuzzy k-means are regarded as unsupervised dimensional reduction learning techniques, we present an application of this technique from the Agronomic data collected in 2015 to demonstrate the efficiency of fuzzy k means over k means of eight different types of rice varieties in Sierra Leone. Also, we identified different rice varieties as outliers from the silhouette clusters (segment). Published on 2020-12-15 00:00:00
  • Modelling Rainfall Series in North Central Nigeria: A Comparative Study of
           Box-Jenkins and State Space Model Approaches

    • Abstract: This study aims at examining the performances of Box-Jenkins (BJ) and State Space (SS) modelling approaches, evidence from rainfall series of the North Central part of Nigeria. The study utilized monthly rainfall series of five North Central states of the country covering the period January 1961 to July 2019. This study employed the following methodologies: The Augmented Dickey-Fuller test for the non-seasonal stationarity check; HEGY test for the seasonal stationarity check; the Seasonal Auto-Regressive Integrated Moving Average modelling strategy of Box-Jenkins; and the State Space Local Level modelling with Seasonality. Among the 20 candidate BJ models estimated for each of the five states rainfall series, the study returned SARIMA(4,0,4)(1,0,0)12, SARIMA(3,0,3)(2,0,0)12, SARIMA(2,0,3)(1,0,0)12, SARIMA(2,0,4)(1,0,0)12 and SARIMA(4,0,2)(2,0,0)12 as the most parsimonious BJ models for Benue, Niger, Kogi, Kwara and Federal Capital Territory (FCT) states respectively. Also, using the SS approach the study fitted Local Level Models with stochastic seasonality for each of the state rainfall series and were labelled SSBER, SSNIR, SSKOR, SSKWR and SSFCR for Benue, Niger, Kogi, Kwara and FCT states respectively. The forecasting performances of the most parsimonious SARIMA models and State Space Local Level Model with stochastic seasonality were examined. From the forecasts evaluation results, the RMSE, MAE, Theil’s U criteria and average of the three loss functions indicate that the state space local level model with seasonality outperformed the BJ models (SARIMA). In conclusion, SS models returned as more robust models compared to any BJ models (SARIMAs). Thus, it is evident that SS model is a noble intervention capable of modelling different features characteristic in a series such as trend and seasonality. The study therefore recommends the adoption of state space modelling approach based on the ability of the approach to accommodate distinct features instead of differencing (i.e. eliminating trend and seasonality). Published on 2020-12-30 00:00:00
  • Effect of First Order Auto-Regressive Model on the Power Function of
           Average Control Charts under Non-Normal Population

    • Abstract: The effect of First Order Auto-Regressive model and non-normality on the power function of the control charts for mean with control limits is studied. The nonnormality is represented by the first four terms of an Edgeworth series. The nonnormality must be unimodel. We have seen that power of control charts for mean is robust to normality with auto-regression. Published on 2020-12-30 00:00:00
  • Estimation of Variance for Domain Total: A High Level Calibration Approach

    • Abstract: Sample surveys are used to estimate interest about the population parameters. But, the objective of this study is to estimate about the sub-populations (termed domain). The proposed method is based on direct generalized calibration estimator for domain total using auxiliary character. The properties of the estimators also studied using simple random sampling process. It is also evaluate a class of estimators for domain total. A comparative study of the proposed estimator is given theoretically in the support of the problem. It was found that that the high level calibration approach better than the low level calibration approach with respect to (Sarndal et al. 1992, appendix B). A real data set is used to illustrate our methodology. Published on 2020-11-30 00:00:00
  • An Order Statistics Technique for Monitoring and Quantifying
           Susceptibility to Toxicity

    • Abstract: In launching an environmental technique, statistics plays an important role. The art of using statistical methods, models and principles to work on environmental issues is hereby utilized in dealing with a well-ordered set of quantities on exposures of some Artisans to toxicity. The Poisson was initially assumed to be the intrinsic distribution, but following a strong advocacy in favour of the Lindley over members of the exponential family of distributions, the population, ( Published on 2020-11-30 00:00:00
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