Research & Reviews : Journal of Statistics
E-ISSN: 2278-2273
Editor Overview
rrjost maintains an Editorial Board of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study.
Dr. Rama Shanker
Associate Professor
Assam University, Assam, India 788011
Editor in Chief
Research & Reviews : Journal of Statistics
Email :
Institutional Profile Link : http://www.aus.ac.in/statistics-department/wp-content/uploads/sites/47/2020/12/C.V-of-Dr.-Rama-Shanker.pdf
Publisher
STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd.
E-mail:
[email protected]
Phone:
(+91)-0120- 4781-200
Mobile:
(+91)-981-007-8958
(+91)-966-7725-932
Focus and Scope
Last Update: 22-May-24
About the Journal
Research & Reviews: Journal of Statistics [2278–2273(e)] is a peer-reviewed hybrid open-access journal launched in 2011 focused on the publication of current research work carried out under statistics. This journal covers all major fields of applications in statistics.
Focus and Scope
- Theoretical and Computational Statistics: Statistical, computational methods, computational methodologies, approaches, Statistics algorithms, software, In silico, statistical approaches, Data analysis, analytics, Big data, data mining, surveys, experiments, census data, standard deviation, probability theory, inferential statistics, observational study, manipulation, central tendency, data analysis, the test of the relationship, null hypothesis, International Association for Statistical Computing, sample size, non-homogeneous data sets, local regression, kernel density estimation, artificial neural networks, generalized additive models, electromechanical machine.
- Variance Analysis: Student’s t-distribution, randomness, data processing systems, parameters, observed data, statistical model, physical, mathematical problems, optimization, numerical integration, random variable, probability density, Data analysis, analytics, Big data, data mining, surveys, experiments, census data, standard deviation, probability theory, inferential statistics, budgeting practices unrealistic, materials, production process, standard cost, Variance source, financial results, labor routings, standard variable.
- Statistical Decision Theory: Data analysis, analytics, Big data, data mining, surveys, experiments, census data, standard deviation, probability theory, inferential statistics, observational study, manipulation, central tendency, data analysis, the test of the relationship, null hypothesis, Testing Hypothesis, problem mathematically, Bayesian statistics, decision-making processes, Decision rules, Bayes principle.
- Biostatistics: Cohort Effect, Proteomics, Meta-Analysis, Cancer Research, Biological Marker, Statistical Analysis, Lung Cancer, Basic Analytical Statistics, biostatisticians, design and analysis, epidemiologic studies, Risk difference, Ratios, Proportions, Rates, Measures of Disease Frequency, Data analysis, analytics, Big data, data mining, surveys, experiments, statistical approaches, Data analysis, analytics, Big data, data mining, surveys, experiments, census data, standard deviation, probability theory, inferential statistics, observational study, prostatitis, standard normal curve.
- Agricultural Statistics: Improvement of Crop Statistics, Crop Estimation Survey, Land Use Statistics, Crop Forecast, Timely Reporting Schemes, Sample Check on Area Enumeration, Sample Survey on Arecanut, Coconut, Fruits, Vegetables, Agriculture Division, Economics, crop area, average yield, paddy, Jute, Winter paddy, Matikalai, Rape & Mustard, Potato, Sugarcane, Wheat.
- Parameter & Nonparametric Estimation: Random Walks, Copula, Nonlinear, Covariate, Nonparametric Model, Quantile, Parametric, Parametric Model, Gaussian distributions, parametric/semiparametric models, covariate values, probability estimation, covariate, probabilities, transition counts, censored data, nonparametric regression estimation, the curse of dimensionality, Gaussian modeling, linear models, regression concept.
- Foundations of Statistical Inference: Epistemological, frequentist inference, Bayesian inference, significance testing, hypothesis testing, statistical inference, inductive inference, classical statistics, error statistics, Akaike’s-Information, Criterion-based statistics, merely terminological, deductive inference, Student’s t-distribution, randomness, data processing systems, parameters, observed data, statistical model, physical, mathematical problems, optimization, numerical integration, random variable, probability density.
- Time series & Sequential procedures: Data points, statistics, signal processing, pattern recognition, econometrics, mathematical finance, weather forecasting, earthquake prediction, electroencephalography, control engineering, astronomy, communications engineering, regression analysis, cross-sectional studies, Interrupted time series, spatial data analysis, real-valued, continuous data, discrete numeric data, discrete symbolic data, time reversibility, data visualizations, trend analysis.
- Design of Experiments: Natural Gas, Computational Fluid Dynamics, Hydrogen, Response Surface Method, Response Surface, nanomanufacturing, statistical design of experiments, CFD models, gasoline compression ignition, reservoir modeling, chemometric, experimental design, parameters prior, design reports, data analysis, cell culture, nutrient complement, factor level, optimization of a process, robustness testing, processability, physical properties, product performance, Experimental limits.
- Stochastic processes: Eicosanoid Receptor, Enzymes, Epigenetics, Reprogramming, Phenotype, Biomarker, Proteome, Gene Expression, Adrenochrome, DNA, mathematicians, physicists, engineers, theory ranges, option pricing theory, differential geometry, biological/biochemical modeling, macromolecules (proteins), genetic variation, inbreeding depression, inbreeding depression, breeding success, genetic mutations, transition probabilities, creep properties, resistant steel, nucleotide.