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11 results on '"Singh, Ran Vijay Kumar"'

1. On the estimation of finite population variance for a mail survey design in the presence of non-response using new conventional and calibrated estimators.

Author

Audu, Ahmed, Singh, Ran Vijay Kumar, Ishaq, Olatunji Olawoyin, Khare, Supriya, Singh, Rajesh, and Adewara, Adedayo Amos

Subjects
*VARIANCES, *EMPIRICAL research, *CALIBRATION
Abstract

In this paper, we proposed new conventional unbiased and calibration estimators for estimating finite population variance for a Mail Survey Design characterized by the presence of non-response in practice. The properties of the proposed estimators are studied theoretically and numerically. Empirical studies were conducted using two each of existing and simulated data to illustrate the performance of proposed estimators over existing ones. The results of both theoretical and numerical comparison depicted the superiority of proposed estimators for estimating population variance for a Mail Survey Design characterized by non-response. [ABSTRACT FROM AUTHOR]

Published
2024
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3. A Binary-Type Exponential Estimator for Estimating Finite Population Mean.

Author

SINGH, RAN VIJAY KUMAR and AUDU, AHMED

Subjects
*STATISTICAL sampling, *EMPIRICAL research
Abstract

This paper suggests binary-type exponential estimator for estimating - finite population mean under simple random sampling using auxiliary information. The proposed estimator includes number of estimators as its member which has been listed. Mathematical expression for the bias and mean square error of proposed estimator have been derived up to first order approximation. An empirical study was carried out using some existing population data sets and it was found that the proposed estimator performed better than other existing estimators considered in the study including linear regression estimator. [ABSTRACT FROM AUTHOR]

Published
2024
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8. Insights from a Pan India Sero-Epidemiological survey (Phenome-India Cohort) for SARS-CoV-2

Author

Naushin, Salwa, primary, Sardana, Viren, additional, Ujjainiya, Rajat, additional, Bhatheja, Nitin, additional, Kutum, Rintu, additional, Bhaskar, Akash Kumar, additional, Pradhan, Shalini, additional, Prakash, Satyartha, additional, Khan, Raju, additional, Rawat, Birendra Singh, additional, Tallapaka, Karthik Bharadwaj, additional, Anumalla, Mahesh, additional, Chandak, Giriraj Ratan, additional, Lahiri, Amit, additional, Kar, Susanta, additional, Mulay, Shrikant Ramesh, additional, Mugale, Madhav Nilakanth, additional, Srivastava, Mrigank, additional, Khan, Shaziya, additional, Srivastava, Anjali, additional, Tomar, Bhawna, additional, Veerapandian, Murugan, additional, Venkatachalam, Ganesh, additional, Vijayakumar, Selvamani Raja, additional, Agarwal, Ajay, additional, Gupta, Dinesh, additional, Halami, Prakash M, additional, Peddha, Muthukumar Serva, additional, Sundaram, Gopinath M, additional, Veeranna, Ravindra P, additional, Pal, Anirban, additional, Agarwal, Vinay Kumar, additional, Maurya, Anil Ku, additional, Singh, Ran Vijay Kumar, additional, Raman, Ashok Kumar, additional, Anandasadagopan, Suresh Kumar, additional, Karuppanan, Parimala, additional, Venkatesan, Subramanian, additional, Sardana, Harish Kumar, additional, Kothari, Anamika, additional, Jain, Rishabh, additional, Thakur, Anupma, additional, Parihar, Devendra Singh, additional, Saifi, Anas, additional, Kaur, Jasleen, additional, Kumar, Virendra, additional, Mishra, Avinash, additional, Goger, Iranna, additional, Rayasam, Geethavani, additional, Singh, Praveen, additional, Chakraborty, Rahul, additional, Chaturvedi, Gaura, additional, Karunakar, Pinreddy, additional, Yadav, Rohit, additional, Singhmar, Sunanda, additional, Singh, Dayanidhi, additional, Sarkar, Sharmistha, additional, Bhattacharya, Purbasha, additional, Acharya, Sundaram, additional, Singh, Vandana, additional, Verma, Shweta, additional, Soni, Drishti, additional, Seth, Surabhi, additional, Vashisht, Shakshi, additional, Thakran, Sarita, additional, Fatima, Firdaus, additional, Singh, Akash Pratap, additional, Sharma, Akanksha, additional, Sharma, Babita, additional, Subramanian, Manikandan, additional, Padwad, Yogendra, additional, Hallan, Vipin, additional, Patial, Vikram, additional, Singh, Damanpreet, additional, Tirpude, Narendra Vijay, additional, Chakrabarti, Partha, additional, Maity, Sujay Krishna, additional, Ganguly, Dipyaman, additional, Sarkar, Jit, additional, Ramakrishna, Sistla, additional, Kumar, Balthu Narender, additional, Kumar, A Kiran, additional, Gandhi, Sumit G., additional, Jamwal, Piyush Singh, additional, Chouhan, Rekha, additional, Jamwal, Vijay Lakshmi, additional, Kapoor, Nitika, additional, Ghosh, Debashish, additional, Thakkar, Ghanshyam, additional, Subudhi, Umakanta, additional, Sen, Pradip, additional, Chaudhury, Saumya Ray, additional, Kumar, Rashmi, additional, Gupta, Pawan, additional, Tuli, Amit, additional, Sharma, Deepak, additional, Ringe, Rajesh P., additional, D, Amarnarayan, additional, Kulkarni, Mahesh, additional, Shanmugam, Dhanasekaran, additional, Dharne, Mahesh S, additional, Dastager, Syed G., additional, Joshi, Rakesh, additional, Patil, Amita P., additional, Mahajan, Sachin N., additional, Khan, Abu Junaid, additional, Wagh, Vasudev, additional, Yadav, Rakeshkumar, additional, Khilari, Ajinkya, additional, Bhadange, Mayuri, additional, Chaurasiya, Arvindkumar H., additional, Kulsange, Shabda E, additional, Khairnar, Krishna, additional, Paranjape, Shilpa, additional, Kalita, Jatin, additional, Sastry, G. Narahari, additional, Phukan, Tridip, additional, Manna, Prasenjit, additional, Romi, Wahengbam, additional, Bharali, Pankaj, additional, Ozah, Dibyajyoti, additional, Sahu, Ravi Kumar, additional, Babu, Elapavalooru V.S.S.K., additional, Sukumaran, Rajeev, additional, Nair, Aiswarya R, additional, Kooloth-Valappil, Prajeesh, additional, Puthiyamadam, Anoop, additional, Velayudhanpillai, Adarsh, additional, Chodankar, Kalpana, additional, Damare, Samir, additional, Madhavi, Yennapu, additional, Aggarwal, Ved Varun, additional, Dahiya, Sumit, additional, Agrawal, Anurag, additional, Dash, Debasis, additional, and Sengupta, Shantanu, additional

Published
2021
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10. Application of CFD Techniques to Assess Spontaneous Heating/Fire during Extraction of Thick Coal Seam Using Blasting Gallery (BG) Method.

Author

Mohalik, Niroj Kumar, Khan, Asfar Mobin, Ray, Santosh Kumar, Mishra, Debashish, Varma, Nikhil Kumar, Singh, Ran Vijay Kumar, and Singh, Pradeep Kumar

Subjects
EXTRACTION techniques, FIRE resistant materials, MOUTH protectors, IGNITION temperature, COMPUTATIONAL fluid dynamics, COAL, SPONTANEOUS combustion
Abstract

Spontaneous combustion is one of the key issues in the blasting gallery (BG) method of coal mining. Earlier most of the BG panels have been sealed due to the occurrences of spontaneous heating during the extraction of the panel. This research paper describes a study on spontaneous heating/fire mechanism in depillaring panels of thick seam mining using laboratory experiments, calculating goaf ignition temperature, field investigation and computational fluid dynamics (CFD) techniques. The laboratory study, i.e. Proximate analysis, ultimate analysis, Sulphur analysis, CPT study, DSC study indicated that coal is prone to spontaneous heating. The CFD simulation study reveals that spontaneous heating of leftover coal in goaf areas alone cannot be responsible for the fire in the BG panel. It indicates that an increase in temperature of the goaf is proportional to the amount of coal left in the goaf region. CFD study for roof fall in leftover coal in the goaf region along with spontaneous heating establishes that temperature rise in goaf is proportional to roof fall area of the panel. The laboratory, field and CFD simulation study clearly verify that spontaneous heating/fire in BG panel is due to the combination of spontaneous heating in leftover coal, and frictional heat generated due to roof fall. [ABSTRACT FROM AUTHOR]

Published
2020
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11. ANALYSIS OF SCIENCE STUDENTS' SSCE RESULT USING PRINCIPAL COMPONENT ANALYSIS

Author

Abdulmuahimin Abiola Sanusi and Singh, Ran Vijay Kumar

Abstract

This research work intends to detect the subjects that contribute to the inconsistency in the relationship among the subjects of studied by using the method of Principal Component Analysis that was used to investigate the variability among the subjects. The data used for the analysis is students’ WAEC results for the year 2011, Federal Science College, Sokoto. Out of fourteen subjects areas which the students sat for, nine subjects were used for the study. Single sets were formed that consists Economics, Geography, English Language, Hausa-Language, Mathematics, Agricultural Science, Biology, Chemistry, and Physics. Nine Components were formed, while only six Components were considered showing the subjects that contribute significantly to the variation and inconsistency among the subjects. However, there should be concentration on the subjects that contribute a high variation to check the students’ performance.

Published
2013
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