PRAYAS SHARMA
Banaras Hindu University, Varanasi, Statistics, Graduate Student
COVID‐19, which was initiated regionally at Wuhan of China, has become a global pandemic by infecting people of almost all the world. Human civilizations are facing threat for their survival and livelihood. No country are getting any... more
COVID‐19, which was initiated regionally at Wuhan of China, has become a global pandemic by infecting people of almost all the world. Human civilizations are facing threat for their survival and livelihood. No country are getting any substantial relief and solution from this pandemic rather to convince their citizens to make aware and taking precaution by changing their living style. In view of this, this study attempted to assess the awareness, threat, symptoms and its prevention among people of India about the COVID‐19. A total of 522 responses from all over India were received. The respondents have adequate awareness for COVID‐19 outbreak and its preventive measures, out of total, 98% (513) answered that the virus spreads from one person to another, 95% (494) answered that the disease is caused by a virus. Peoples understand the importance of social distancing and other preventive measures prescribed by the government with good attitude for coronavirus. Peoples are following trusted sources for corona information, having confidence to defeat disease but showed their concern for corona threat, are aware about the virus, its common symptoms and prevention, govt. testing and medical facilities. Principal component analysis was used to identify the latent dimensions regarding people's preventive measures and was found that they are majorly adopting three methods, that is, lockdown, naturopathy and social distancing. This study will help government and peoples to understand and handle this coronavirus pandemic effectively and in prevention of COVID‐19, which is crucial for the awareness of society in coming time.
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The exponential weighted moving average (EWMA) statistic is utilized the past information along with the present to enhance the efficiency of the estimators used for estimating the population param...
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Knowledge management (KM) involves strategies and processes for identifying, capturing, and leveraging knowledge to enhance competitiveness. Quality management (QM) has its roots in manufacturing and services to accomplish efficiency and... more
Knowledge management (KM) involves strategies and processes for identifying, capturing, and leveraging knowledge to enhance competitiveness. Quality management (QM) has its roots in manufacturing and services to accomplish efficiency and customer satisfaction. This paper seeks to explore the relationship between knowledge management and quality management. The paper also aims to address the reality that for organizational maturity, knowledge management will have to be harnessed and this knowledge management will need to have requisite quality for it to be effective. The main purpose of this paper is to address the nature of knowledge quality, describe its elements and their attributes, and create a valid and reliable instrument to measure the relative importance of the elements and their attributes. A framework is proposed that uses a hierarchical approach to address the dependence relationships of knowledge quality with its elements of intrinsic, contextual and actionable knowledge quality. Each of these elements has their own attributes. Based on the relationships, business managers can judge the need to improve and determine which element to provide the most effective direction towards knowledge quality improvement in knowledge management systems.
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This paper suggests the generalized class of estimators, motivated by Sharma and Singh (2015), of finite population variance utilizing the known value of parameters related to an auxiliary variable such as quartile and its properties are... more
This paper suggests the generalized class of estimators, motivated by Sharma and Singh (2015), of finite population variance utilizing the known value of parameters related to an auxiliary variable such as quartile and its properties are studied in simple random sampling without replacement. The efficiency of proposed class of estimators is compared with some existing estimators discussed in literature and found that proposed generalized class of estimators is better than other existing estimators including usual unbiased estimator, estimators due to Isaki (1983), Das and Tripathi (1978) and estimators recently proposed by Singh and Pal (2016). An empirical as well as theoretical comparison is carried out to judge the performance of proposed class of estimators over other existing estimators of population variance using natural data set. MSC: 62D05 RESUMEN En este paper se sugiere una clase generalizada de estimadores motivada por los resultados de Sharma and Singh (2015), la varian...
This paper suggests the generalized class of estimators, motivated by Sharma and Singh (2015), of finite population variance utilizing the known value of parameters related to an auxiliary variable such as quartile and its properties are... more
This paper suggests the generalized class of estimators, motivated by Sharma and Singh (2015), of finite population variance utilizing the known value of parameters related to an auxiliary variable such as quartile and its properties are studied in simple random sampling without replacement. The efficiency of proposed class of estimators is compared with some existing estimators discussed in literature and found that proposed generalized class of estimators is better than other existing estimators including usual unbiased estimator, estimators due to Isaki (1983), Das and Tripathi (1978) and estimators recently proposed by Singh and Pal (2016). An empirical as well as theoretical comparison is carried out to judge the performance of proposed class of estimators over other existing estimators of population variance using natural data set. KEYWORDS: Auxiliary variable, Quartile, Simple random sampling, Bias, Mean Square Error. MSC: 62D05
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This paper proposes a class of estimators based on information of two auxiliary attributes. The expressions of mean square errors of the proposed class of estimators are derived in a general form. It is shown that the proposed class of... more
This paper proposes a class of estimators based on information of two auxiliary attributes. The expressions of mean square errors of the proposed class of estimators are derived in a general form. It is shown that the proposed class of estimators is always more efficient than regression estimator based on two attributes, estimators recently proposed by Verma et al. (2013) and Malik and Singh (2013). In addition, we support this theoretical result by an empirical study using original data to show the superiority of the constructed estimators over others.
This paper suggests the prediction approach for estimating the population mean under Simple Random Sampling Without Replacement. We propose an Estimator using a predictor and study its properties. The Bias and Mean Square Error (MSE)... more
This paper suggests the prediction approach for estimating the population mean under Simple Random Sampling Without Replacement. We propose an Estimator using a predictor and study its properties. The Bias and Mean Square Error (MSE) expression of Proposed Estimator has been derived up to the first order approximation. It has been shown that the Proposed Estimator is more efficient than usual Unbiased Estimator, Exponential Ratio and Exponential Product Estimators and Estimator recently proposed by Singh et al. (2014). In support of the theoretical, numerical illustration has also been carried out.
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This article addresses the problem of estimating the population mean in the presence of auxiliary information when study variable itself is qualitative in nature. Bias and mean squared error (MSE) expressions of the class of estimators... more
This article addresses the problem of estimating the population mean in the presence of auxiliary information when study variable itself is qualitative in nature. Bias and mean squared error (MSE) expressions of the class of estimators are derived up to the first order of approximation. The suggested estimators have been compared with the traditional estimator and several other estimators considered by Singh (2010). In addition, we support this theoretical result by an empirical study to show the superiority of the constructed estimator over others.
Bahl and Tuteja (1991) introduced an exponential ratio–type and exponential product-type estimators for estimating population mean . Singh et al. (2007) suggested improved estimator using Bahl and Tuteja (1991) estimator. Most of them... more
Bahl and Tuteja (1991) introduced an exponential ratio–type and exponential product-type estimators for estimating population mean . Singh et al. (2007) suggested improved estimator using Bahl and Tuteja (1991) estimator. Most of them discussed these estimators along with their first order biases and mean square error’s (MSE’s). In this paper, we have tried to work out the second order biases and mean square errors of some estimators using information on auxiliary attributes based on simple random sampling. Finally, we have compared the performance of the estimators with help of some numerical illustration.
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Auxiliary variable is extensively used in survey sampling to improve the precision of estimates. Whenever there is availability of auxiliary information, we want to utilize it in the method of estimation to obtain the most efficient... more
Auxiliary variable is extensively used in survey sampling to improve the precision of estimates. Whenever there is availability of auxiliary information, we want to utilize it in the method of estimation to obtain the most efficient estimator. In this paper using multi-auxiliary information we have proposed estimators based on arithmetic, geometric and harmonic mean. It was also shown that estimator based on harmonic and geometric means are more biased than estimator based on arithmetic mean under certain conditions. However, the MSE of all three estimators are same up to the first order of approximation.
This paper suggests some generalized classes of modified ratio, regression-cum-ratio and exponential ratio type estimators for finite population mean of the study variable utilizing the information on two auxiliary variables in stratified... more
This paper suggests some generalized classes of modified ratio, regression-cum-ratio and exponential ratio type estimators for finite population mean of the study variable utilizing the information on two auxiliary variables in stratified random sampling. The expressions for bias and mean square error of proposed class of estimators have been derived and compare with those of existing estimator s. An empirical study is carried out to demonstrate the efficiency of the proposed class of estimators over others and it is found that the empirical results support the theoretical study.
Singh et al (20009) introduced a family of exponential ratio and product type estimators in stratified random sampling. Under stratified random sampling without replacement scheme, the expressions of bias and mean square error (MSE) of... more
Singh et al (20009) introduced a family of exponential ratio and product type estimators in stratified random sampling. Under stratified random sampling without replacement scheme, the expressions of bias and mean square error (MSE) of Singh et al (2009) and some other estimators, up to the first- and second-order approximations are derived. Also, the theoretical findings are supported by a numerical example.
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In this paper, we have proposed some ratio-cum-product type estimators for population mean of the study variable y in the presence of non-response using auxiliary information under double sampling. The expressions of mean squared error... more
In this paper, we have proposed some ratio-cum-product type estimators for population mean of the study variable y in the presence of non-response using auxiliary information under double sampling. The expressions of mean squared error (MSE) of the proposed estimators are derived under double (two-stage) sampling. In addition, an empirical study is carried out to show the properties of the proposed estimators..