A5011857935- Advanced Statistical Methods and Models
- Statistical Distribution Estimation and Applications
- Probabilistic and Robust Engineering Design
- Statistical Methods and Inference
- Bayesian Methods and Mixture Models
- Advanced Statistical Process Monitoring
- Probability and Risk Models
- Soil and Unsaturated Flow
- Reliability and Maintenance Optimization
- Optimal Experimental Design Methods
- Advanced Combinatorial Mathematics
- Statistical Methods and Bayesian Inference
- Face and Expression Recognition
- Rock Mechanics and Modeling
- Dam Engineering and Safety
- Hydrology and Drought Analysis
- Data Analysis with R
- Bayesian Modeling and Causal Inference
- Landslides and related hazards
- Seed Germination and Physiology
- Educational Reforms and Innovations
- Plant responses to water stress
- Multi-Criteria Decision Making
- Digital Image Processing Techniques
- Random Matrices and Applications
Institute of Mathematics and Informatics
2009-2021
Bulgarian Academy of Sciences
2008-2021
Institute of Information and Communication Technologies
2016
We propose an approach for estimating the polytropic index in solar wind. This is artificially introduced parameter simplifying essentially gasdynamic or magnetogasdynamic modeling of interplanetary plasma. The problem straightforward utilization equation to find sufficient homogeneous fragments wind flow, observed by single spacecraft only, where application this correct. algorithm following plasma data time series ensure separation segments that belong, with high probability, same flow...
SUMMARY The effects of various gibberellin-insensitive semi-dwarfing ( Rht ) alleles and background genotypes on the growth response wheat seedlings to simulated low water potential were investigated. Four sets near-isogenic lines, each consisting six members Rht-B1a+Rht-D1a (rht), Rht-B1b, Rht-B1c, Rht-D1b, Rht-B1b+Rht-D1b Rht-B1c+Rht-D1b ), one set five rht, Rht-B1b , Rht-B1d Rht-D1b germinated in presence polyethylene glycol (PEG). responses assessed by measuring lengths longest root,...
Big data is a broad term with numerous dimensions, most notably: big characteristics, techniques, software systems, application domains, computing platforms, and milieu (industry, government, academia).In this paper we briefly introduce fundamental characteristics then present seven case studies of applications, as seen from academic perspective (industry government perspectives are not subject publication).While feel that it difficult, if at all possible, to encapsulate the important...
This paper deals with a class of nonparametric two-sample tests for ordered alternatives. The test statistics proposed are based on the number observations from one sample that precede or exceed threshold specified by other sample, and they extensions Šidák's test. We derive their exact null distributions also discuss large-sample approximation. then study power properties exactly against Lehmann alternative make some comparative comments. Finally, we present an example to illustrate tests.
The distribution of a rank test statistic for the two-sample problem is derived under Lehmann alternative. based on extreme ranks both samples in combined sample. exact power function studied and compared to functions several tests.
In this paper we introduce a measure of closeness partial rankings based on metric permutations, and analyze some its properties. We consider two types rankings: ranking the k favorite items out n classification into several ordered categories.
Electricity demand is one of the most important variables required for estimating amount additional capacity to ensure a sufficient supply energy. Demand and technological losses forecasts can be used control generation distribution electricity more efficiently. The aim this paper utilize time series model, which provides both magnitude timing lead times year.