- Survey Sampling and Estimation Techniques
- Bayesian Methods and Mixture Models
- Advanced Statistical Methods and Models
- Statistical Methods and Bayesian Inference
- Statistical Distribution Estimation and Applications
- Census and Population Estimation
- Smart Grid Energy Management
- Insurance and Financial Risk Management
- Energy Efficiency and Management
- Energy and Environment Impacts
- FinTech, Crowdfunding, Digital Finance
- Sustainable Supply Chain Management
- Sustainable Finance and Green Bonds
- Agricultural Economics and Practices
- Agricultural risk and resilience
- Advanced Statistical Process Monitoring
- Blockchain Technology Applications and Security
- Indian Economic and Social Development
- Risk and Safety Analysis
- Energy, Environment, Economic Growth
- Integrated Energy Systems Optimization
- Hate Speech and Cyberbullying Detection
- Digital Transformation in Industry
- Distributed Sensor Networks and Detection Algorithms
- Energy, Environment, and Transportation Policies
Indian Statistical Institute
1989-2024
O. P. Jindal Global University
2022-2024
Virginia Tech
1983-2024
National Institute of Technology Andhra Pradesh
2022
University of Petroleum and Energy Studies
2013-2021
CR Rao Advanced Institute of Mathematics, Statistics and Computer Science
2009-2016
University of Hyderabad
2010-2014
University of California, Santa Barbara
1991
Iowa State University
1981
Commonwealth Scientific and Industrial Research Organisation
1977
Abstract In this paper we have examined certain techiques suggested in the literature for improving ratio and regression methods of estimation demonstrated that these techniques are not very profitable. Keywords: Auxiliary informationratio estimationbiasesvariancescomparisons
Summary In this paper we consider a practical situation where information on two auxiliary variables related to the study variable is available at different levels. Following Kiregyera (1980, 1984) who has obtained chain ratio‐to‐regression estimator and regression estimator, shall several estimators that arise naturally in context compare them under mean square error criterion. We extend these results case when multiple available.
Purpose The low level of financial literacy among young adults is a pressing concern at both individual and country levels. Therefore, there dire need to understand the best-worst antecedents how they influence each other. Design/methodology/approach A two-phased multicriteria decision-making (MCDM) technique consisting method interpretive structural modeling (BWM-ISM) was employed for pair-wise comparison, assigning weights, ranking establishing relationship literacy. Findings Results...
Purpose This study aims to identify the operational and financial risks associated with city gas distribution project in India suggest appropriate strategies mitigate them. Design/methodology/approach The survey data is evaluated using factor analysis understand latent structure of critical risk factors. Second, author uses Situation, Actor Process–Learning, Action Performance framework mitigation for identified Findings research five factors suggested 39 address impacting CGD projects....
Green financing is the furthermost significant name for procurement of sustainable energy projects like renewable etc. bonds and green insurance are currently two mechanisms environmental businesses' procurement. There have been some problems that issuing companies investors encountered during bond process. However, financial technologies such as Internet Things (IoT), Artificial Intelligence (AI), cloud computing, blockchain, robotics promising solutions because they already proven their...
Summary This is a brief history of the evolution official and academic Statistics in India which focuses mainly on period 1930 to 1960 but traces its origins antiquity recent history. We also comment how has continued evolve since 1960's. both institutions people, who built shaped them, ideas.
Summary Three sampling strategies are considered: (i) H(M, R 1) consisting of the Midzuno (1952)–Sen (1952) scheme and estimator R1=X(∑i∈sYi)/(∑i∈sXi) population total Y, where symbol ∑išs indicates that summation is over all units Ui contained in sample s; (ii) ŶHT) Midzuno–Sen ŶHT = ∑išs(Yi/πi), πi probability inclusion ith unit sample; (iii) H(πps, Rn) πps (Hanurav, 1965; 1967) Rn (X/n) ∑išs(Yi/Xi) Y. It shown strategy suitable for method ratio estimation. A direct application to cluster...
Purpose The fact that complaints regarding general insurance claims are three times as numerous those of life suggests behaviour insurers be investigated to minimize operating losses and ensure operational excellence. This paper seeks address this issue. Design/methodology/approach Study variance factor analysis has been undertaken achieve the objective identifying factors which govern in business. In order understand dependency over sectors segments, statistical hypothesis testing along...
Green bonds have gained significant attention in supporting sustainable development goals for achieving sustainability. During the issuance of green bonds, there are a few concerns such as standardization, greenwashing, and lack benefits that can be with bonds. However, blockchain technology is promising solution bond because it has already shown its impact on different finance activities. This study aims to address analyze role significance meeting sustainability also suggested...
Abstract Using the criterion of minimum expected variance and Horvitz-Thompson estimator, we study various πPS (πi, probability inclusion ith unit, Proportional to Size) strategies make a comparison between these under general super population model. This discussion further motivates search for class designs which are best suited use estimator. A new such is obtained.