Subjects -> MATHEMATICS (Total: 1013 journals)
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    - 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
Iraqi Journal of Statistical Sciences
Number of Followers: 0  

  This is an Open Access Journal Open Access journal
ISSN (Print) 1680-855X - ISSN (Online) 2664-2956
Published by U of Mosul Homepage  [20 journals]
  • Using Neural Network For Control Of Fuzzy Storage

    • Abstract: In this research, an optimal model will be created to control the storage in the blood bank in Nineveh Governorate by studying the continuous review system for storage in light of the ambiguity of random demand. Data were withdrawn from the blood bank and on three inputs (order quantity, damaged quantity and number of donors), where the data distribution was verified and the normal distribution was also linearly followed. At first, we fogged the data using the ready-made tool in the program ((matlab) and after obtaining the results we entered it onthe neural network (RNN).The best result obtained is the use of the fuzzy neural network as compared to the classical method.
      PubDate: Tue, 30 Nov 2021 20:30:00 +010
       
  • Comparison Prediction of Transfer Function Models and State Space Models
           Using Fuzzy Method

    • Abstract: The research aims to build dynamic models represented by the transfer function and State Space Models of a single input variable and a single output variable, The input and output variables are represented by the temperatures of the water before the filtration process and after the filtration process to convert it into potable water.As a transfer function model will be built for a single input variable and a single output variable for real data and Fuzzy data, building transfer function models and state space models, finding predictive values and comparing results.
      PubDate: Tue, 30 Nov 2021 20:30:00 +010
       
  • Bayesian Inference of a Non normal Multivariate Partial Linear Regression
           Model

    • 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  and the predictive probability distribution is a matrix-t distribution with different parameters, the posterior marginal probability distribution of the scale matrix  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.
      PubDate: Tue, 30 Nov 2021 20:30:00 +010
       
  • Comparison of Two Methods for Estimating Parameters of the Model Binary
           Logistic Regression

    • Abstract:  This paper we deal with one of the most important nonlinear regression models widely used in modeling statistical applications, which is the binary logistic regression model, and then estimating the parameters of this model using statistical estimation methods. However, while using this model we face a problem in estimating its parameters as the number of parameters is (p+1), and finding the estimation of parameters using numerical methods sometimes does not provide the best solution because it depends on primitive estimations. In this paper, some ordinary estimation methods are employed to fit the estimation of the parameters of this type of non-linear regression model, and then we compare these estimation methods. Further, the comparison includes some of the important estimation methods, which are the ordinary estimation methods that included the Weighted Least Squares Method (WLS), and the Bayes Method (BM). In order to choose the best method for estimating, by taking a number of models and different sample sizes and using the statistical standard mean error squares (MSE) for the logistic model estimations for the purpose of comparison. Among the preferred methods for estimating model parameters, and it was generally concluded that the WLS method provides the MSE of estimators compared to the other methods. On the practical side, this model was also used to model data for people with diabetes and to estimate parameters using the best methods, and it was reached by comparing patients with diabetes. A census of diabetes with those who did not have diabetes with the appropriateness of the model in modeling this type of data and extracting the main cause of diabetes incidence, which is insulin, as well as the accuracy of the methods in estimating the model parameters.
      PubDate: Tue, 30 Nov 2021 20:30:00 +010
       
  • مشکلة حقیبة المستثمر متعدد الأبعاد
           باستعمال ...

    • Abstract: تعتبر مسألة حقیبة الظهر أو المستثمر متعدد الأبعاد من مسائل الأمثلیة التوافقیة الصعبة (المتقطعة ) المقیدة المهمة والمعروفة جدا فی بحوث العملیات والأمثلیة. فی الوقت الحاضر اصبحت الخوارزمیات المستوحاة من الطبیعة ذات اهمیة بالغی فی حل العدید من المشاکل الریاضیاتیة ومنها مشکلة حقیبة المستثمر. ولغرض الوصول الى افضل الحلول تم فی هذا البحث استعراض ثلاثة خوارزمیات استخدمت فی حل هذه المسائلة. اذ تفوقت خوارزمیة المفترسات البحریة وهی خوارزمیة حدیثة جدا على خوارزمیة الاعشاب الضارة وخوارزمیة الثقب الاسود فی الحصول على افضل احل وباقل وقت ممکن. فی حین جاءت خوارزمیة الثقب الاسود فی المرتبة الثالثة على الرغم من انها لا تحتاج الى تحدید ای معلمة بالخوارزمیة قبل عملها.
      PubDate: Tue, 30 Nov 2021 20:30:00 +010
       
  • التنبؤ لبیانات تلوث الهواء باستخدام
           الطریقة ...

    • Abstract: ان دراسة الجسیمات المعلقة (Particular matter (PM10)) والتکهن بها ضروری للتقلیل والسیطرة على الأضرار البیئیة وصحة الانسان. هنالک العدید من مصادر التلوث او ما یسمى بالملوثات والتی ربما تؤثر على متغیر PM10. کل هذه المتغیرات تصنف بیاناتها کغیر خطیة. اخذ بیانات الدراسة من محطة مناخیة فی مالیزیا. وتم استخدام نماذج الانحدار  الخطی المتعدد Multiple linear regression (MLR) کطریقة إحصائیة خطیة للتنبؤ بمتغیر PM10 من خلال تأثره  بمتغیرات الأرصاد الجویة المقابلة، لذلک فقد یعکس نتائج غیر دقیقة عند استخدامه مع مجموعات البیانات غیر الخطیة. ولتحسین نتائج التنبؤ تم استخدام الشبکات العصبیة المعاودةRecurrent neural network (RNN)  من  خلال توفیقه مع نموذج MLR ضمن الطریقة الهجینة MLR-RNN. وکذلک تم استخدام تحلیل المویجات Wavelet فی ترشیح النتائج المستحصلة من طریقة MLR-RNN للحصول على تحسین اکثر للنتائج التنبؤ من خلال ما یسمى الطریقة الهجینة  RNN-Wavelet واعتماداً على نموذج MLR. ان افضل نتائج التنبؤ بشکل عام کانت باستخدام الطریقة الهجینة  RNN-Wavelet.
      PubDate: Tue, 30 Nov 2021 20:30:00 +010
       
  • Message Passing Applications: A Review

    • Abstract: Message Passing Applications: A Re   It is known that message passing has become one of the most popular parallel programming paradigms because of its ease of use, so it was necessary to know or study the applications that were adopt message passing in their work. Programming models are for the most part classified by how memory is utilized. In the shared memory model, each cycle gets to a shared location space, yet in the message passing model, an application runs as an assortment of self-ruling cycles, each with its own local memory. The principle preferences of setting up a message-passing standard are convey ability and convenience. In a circulated memory correspondence climate in which the more significant level schedules as well as reflections are based upon lower level message-passing schedules the benefits of normalization are especially evident. Moreover, the usage of a message passing, for example, that proposed here, gives sellers a plainly dined base arrangement of schedules that they can actualize in days of yore, or at times for which they can give equipment uphold, consequently improving adaptability. view
      PubDate: Tue, 30 Nov 2021 20:30:00 +010
       
  • Air Pollution Forecasting using Hybrid MLR-RNN Method with Time-Stratified
           Method

    • Abstract:   ان دراسة الجسیمات المعلقة (Particular matter (PM10)) والتکهن بها ضروری للتقلیل والسیطرة على الأضرار البیئیة وصحة الانسان. هنالک العدید من مصادر التلوث او ما یسمى بالملوثات والتی ربما تؤثر على متغیر PM10. کل هذه المتغیرات تصنف بیاناتها کغیر خطیة. تم اخذ بیانات الدراسة من محطة مناخیة فی مالیزیا. تم استخدام نماذج الانحدار  الخطی المتعدد Multiple linear regression (MLR) کطریقة إحصائیة خطیة للتنبؤ بمتغیر PM10 من خلال تأثره  بمتغیرات الأرصاد الجویة المقابلة، لذلک فقد یعکس نتائج غیر دقیقة عند استخدامه مع مجموعات البیانات غیر الخطیة. طریقة التراصف الزمنی فی أنماط مختلفة تم استخدامها لتحسین تلک النتائج وتحقیق التجانس ویتضمن مراصفة المواسم المتشابهة فی السنوات المختلفة سویة لتکوین متغیر جدید مختلف عن الاصلی. لتحسین نتائج التنبؤ تم اقتراح الشبکات العصبیة المعاودةRecurrent neural network (RNN)  لتستخدم بعد التوفیق مع نموذج MLR ضمن الطریقة الهجینة MLR-RNN. ان نتائج التنبؤ بشکل عام کانت الافضل باستخدام أسلوب التراصف الزمنی. وکذلک عکست النتائج افضلیة تنبؤات الطریقة الهجینة مقارنة مع نموذج MLR. وکاستنتاج فی هذه الدراسة فمن الممکن استخدام الشبکات العصبیة المعاودة وأسلوب التراصف الزمنی کاسالیب فع...
      PubDate: Tue, 30 Nov 2021 20:30:00 +010
       
 
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