Papers by Subhash Kumar Yadav
Annals of Library and Information Studies, 2024
In the digital age, online platforms have become essential tools for understanding societal inter... more In the digital age, online platforms have become essential tools for understanding societal interests and trends. Google Trends, a widely used platform, provides valuable insights into search behaviour by tracking the popularity of specific search terms over time and across geographic locations. The present paper explores the utility of Google Trends in analysing the search interest in the "Ram Mandir" topic, particularly focusing on its relevance in understanding societal sentiments, public discourse, and information-seeking behaviours. Ram Mandir's temporal variations in online search interest are examined through Google Trends data from 2008 to 2023. The objectives include examining variations in search interest across different periods, forecasting temporal trends, analysing geographical variations, and identifying relevant search queries and topics. Statistical and machine learning models were employed for trend forecasting, including AutoARIMA, Random Forest, Support Vector Regression (SVR), and Neural Network. The study revealed consistent but intermittent fluctuations in search interest within India, with Support Vector Regression demonstrating superior performance. Conversely, global interest remained steady, reflecting sustained but moderate engagement. Geographically, regions such as Jharkhand, Uttar Pradesh, and Madhya Pradesh showed the highest search interest, possibly linked to cultural or historical connections. Analysis of related search queries unveiled multifaceted dimensions, encompassing religious, historical, political, and infrastructure themes. Furthermore, this study addresses research gaps by utilising Google Trends to investigate cultural phenomena and religious landmarks, offering insights into digital representations of cultural discourse. This study contributes to understanding the interplay between digital media, culture, and society, shedding light on the evolving nature of public discourse in the digital era.
Journal of Travel Medicine
We illustrate the correct way to compare reproductive numbers obtained from various compartmental... more We illustrate the correct way to compare reproductive numbers obtained from various compartmental models used in mathematical epidemiology.
Frontiers in Public Health, 2022
In this paper, we have tried to briefly review the current appraisal regulations of the Universit... more In this paper, we have tried to briefly review the current appraisal regulations of the University Grants Commission (UGC), the research/academic score scheme [previously called Academic Performance Indicator (API)] in the higher education system of India. These scores henceforth in the text are referred to as academic scores. Over the years, the quality of research and teaching in the country has been badly affected due to these scoring schemes. This article systematically analyzes the reasons for the failure of these scoring systems in the appraisal, which are used for the promotion and direct recruitment of teachers in Indian Higher Education Institutions (HEIs) (universities and colleges). Additionally, we have devised suggestions for further improvements in the existing system. It is argued that the issue of quality assessment consists of solving the problem of imperfect information, which requires the identification of the signals that represent the quality of the work with mi...
International Journal of Infectious Diseases, 2021
Response to Comments on "Preliminary estimation of the basic reproduction number of novel coronav... more Response to Comments on "Preliminary estimation of the basic reproduction number of novel coronavirus (2019-nCoV) in China, from 2019 to 2020: a data-driven analysis in the early phase of the outbreak"
Frontiers in Public Health, 2021
In this review, we have discussed the different statistical modeling and prediction techniques fo... more In this review, we have discussed the different statistical modeling and prediction techniques for various infectious diseases including the recent pandemic of COVID-19. The distribution fitting, time series modeling along with predictive monitoring approaches, and epidemiological modeling are illustrated. When the epidemiology data is sufficient to fit with the required sample size, the normal distribution in general or other theoretical distributions are fitted and the best-fitted distribution is chosen for the prediction of the spread of the disease. The infectious diseases develop over time and we have data on the single variable that is the number of infections that happened, therefore, time series models are fitted and the prediction is done based on the best-fitted model. Monitoring approaches may also be applied to time series models which could estimate the parameters more precisely. In epidemiological modeling, more biological parameters are incorporated in the models and ...
International Journal of Mathematical, Engineering and Management Sciences, 2019
In this scripture, we ponder the problem of efficient estimation of population mean of study vari... more In this scripture, we ponder the problem of efficient estimation of population mean of study variable utilizing information on highly correlated auxiliary variables under the presence of non-response on either of the variables. For this purpose, we suggest, an improved estimator under three different situations of non-response. Under the first situation, estimation of population mean is done with the problem of non-response on both the study and the auxiliary variables with the additional condition that the population means of the auxiliary variables are known. The second situation is to estimate the population mean of primary variable when the problem of non-response is only on the primary variable but the population means of the auxiliary variables are known while under the third situation estimation is performed with the problem of non-response on both the study and the auxiliary variables but population mean of one of the auxiliary variables is unknown. We study the sampling pro...
Open Journal of Statistics
One of the aims in survey sampling is to search for the estimators with highest efficiency. In th... more One of the aims in survey sampling is to search for the estimators with highest efficiency. In the present paper, three improved estimators of population mean have been proposed using some non-traditional measures of dispersion of auxiliary variable such as Gini's mean difference, Downton's method and probability weighted moments early given by Abid [1] with a special population parameter of auxiliary variable. The large sample properties that are biased and mean squared errors of the proposed estimators have been derived up to the first order of approximation. A theoretical comparison of the proposed estimators has been made with the other existing estimators of population mean using auxiliary information. The conditions under which the proposed estimators perform better than the other existing estimators of population mean have been given. A numerical study is also carried out to see the performances of the proposed and existing estimators of population mean and verify the conditions under which proposed estimators are better than other estimators. It has been shown that the proposed estimators perform better than the existing estimators as they are having lesser mean squared error.
International Journal of Mathematics Trends and Technology
The present paper advocates the estimation of population mean of the study variable by utilizing ... more The present paper advocates the estimation of population mean of the study variable by utilizing the information on median of the study variable. A generalized ratio type estimator has been proposed for this purpose. The expressions for the bias and mean squared error of the proposed estimator have been derived up to the first order of approximation. The optimum value of the characterizing scalar has also been obtained. The minimum value of the proposed estimator for this optimum value of the characterizing scalar is obtained. A theoretical efficiency comparison of the proposed estimator has been made with the mean per unit estimator, usual ratio of Cochran (1940) and usual regression estimator of Watson (1937),Bahl and Tuteja (1991)estimator, Kadilar (2016) and Subramani (2016) estimators. Theoretical results are supported by the numerical illustration and foundthat proposed estimatorperforms better than theexisting estimators.
Mathematical Journal of Interdisciplinary Sciences, 2013
In this paper we have proposed a class of ratio-cum-dual to ratio estimators for estimating popul... more In this paper we have proposed a class of ratio-cum-dual to ratio estimators for estimating population variance of the variable under study, using known values of some population parameters of auxiliary variable, which is available in the form of an attribute. The expressions for the bias and mean squared error of the proposed estimators have been derived upto the first order of approximation. A comparison has been made with some well known estimators of population variance available in the literature when auxiliary information is in qualitative form. It has been shown that the proposed estimator is better than the existing estimators under the optimum condition. For illustration an empirical study has been carried out.
Journal of Statistical Theory and Practice, 2013
In this article, we suggest a general procedure for estimating the population variance through a ... more In this article, we suggest a general procedure for estimating the population variance through a class of estimators. The bias and mean square error (MSE) of the proposed class of estimators are obtained to the first degree of approximation. The proposed class of estimators is more efficient than many other estimators, such as the usual variance estimator, ratio estimator, the Bahal and Tuteja (1991) exponential estimator, the traditional regression estimator, the Rao (1991) estimator, the Upadhyaya and Singh (1999) estimator, and the estimators. Four data sets are used for numerical comparison.
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Papers by Subhash Kumar Yadav