Purpose Amid the COVID-19 contamination, people are bound to use contactless FinTech payment services. Because of restrictions on physical movement and avoidance touching money, willingly choose mobile payment, resulting in enormous growth service industries. this, this study aims examine effect factors affecting Gen X Millennials users Design/methodology/approach The authors used 328 responses collected through convenience sampling Indian aged between 26 57 years Delhi-NCR region who...

For a number of reasons, mean estimate is an essential sampling activity as it offers crucial information and forms the basis statistical inference judgement. In this study, we population using Exponentially Weighted Moving Average (EWMA) statistic provide generalized family exponential estimators. The theoretical aspects suggested estimator are evaluated via rigorous mathematical derivations bias square error (MSE), which then compared to other estimators that already in use. Furthermore,...

The diversity in the qualities under investigation is necessary to comprehend any phenomenon, whether a real-world or practical setting. It crucial know differences between current and previous circumstances. Therefore, estimate population variance with dichotomous auxiliary information, exponentially weighted moving average statistic used. This manuscript suggests generalized class of memory-type estimators for estimation using Bernoulli variable time-scaled survey. properties suggested...

COVID-19, which was initiated regionally at Wuhan of China, has become a global pandemic by infecting people almost all the world. Human civilizations are facing threat for their survival and livelihood. No country getting any substantial relief solution from this rather to convince citizens make aware taking precaution changing living style. In view this, study attempted assess awareness, threat, symptoms its prevention among India about COVID-19. A total 522 responses over were received....

Control charts based on time between events (TBE) data have been shown to be useful for monitoring production or failure processes where defect occurrence can recorded over time. One type of TBE chart is set up with probability control limits, e.g. the Cumulative Quantity (CQC) and its extension CQC-r chart, which monitors quantity inspected until a fixed number defects (r). Another studied in literature apply CUSUM EWMA methods directly. In this paper, some exponential are compared their...

This study is an attempt to find and analyze the correlation between Covid-19 pandemic weather conditions in Indian context. Secondary data analysis of surveillance COVID-19 taken from Wikipedia (updating information World Health Organization) & statista.com through Power Data Access Viewer (DAV) (power.Iarc.nasa.gov) NASA after mentioning latitude longitude India. The minimum temperature (°C) at 2 metre, maximum metre relative humidity (%) are as component weather. To association,...

The exponential weighted moving average (EWMA) statistic is utilized the past information along with present to enhance efficiency of estimators used for estimating population parameters. In this study, EWMA estimation mean suitable auxiliary information. memory type ratio and product are proposed under ranked-based sampling (RBS) schemes including extreme ranked set sampling, median quartile sampling. expressions square errors (MSE) derived. An extensive simulation study conducted evaluate...

The problem of estimating the finite population mean in simple random sampling presence non-response and response error was considered. estimators use auxiliary information to improve efficiency, assuming non–response measurement are present both study variables. A class proposed its properties studied simultaneous errors. It shown that is more efficient than usual unbiased estimator, ratio product under together. numerical carried out compare performance.

This study proposes a new estimator based on the Exponential Weighted Moving Average (EWMA) statistic by following concept of Noor-ul-Amin (2021). The EWMA model consumed contemporary and empirical data to enhance competence population mean estimation. memory type estimate is proposed with twofold utilisation Auxiliary Information (AUI) in alignment sampling type, i.e., Simple Random Sampling (SRS). A detailed numerical analysis are conducted projected efficiency. provides an efficient for...

Despite the increasing amount of research on social media, there are few studies use WhatsApp to assess academic performance. Surprisingly, students media during lectures, causing a problem. According literature, utilize throughout activities where it is prohibited. Researchers and policymakers must pay attention this problem understand its impact achievement. In paper, by using multivariate statistical methods, we investigate We construct questionnaire for investigation apply case study...

The problem of estimating the population variance is presented using auxiliary information in presence measurement errors. estimators this article use to improve efficiency and assume that error present both study variable. A numerical carried out compare performance proposed estimator with other per unit

This article suggests a generalized class of estimators for population median the study variable in simple random sampling using information on an auxiliary variable. Asymptotic expressions bias and mean square error proposed have been obtained. optimum estimator has investigated along with its approximate error. It shown that are more efficient than considered by [26] , [5],[6], [22], [1] [19] other . In addition theoretical findings supported empirical based two populations to show...

One of the traditional problems in survey sampling is to estimate population parameter like mean variance etc. This article investigates mathematical derivations and application neutrosophic statistics address challenges posed by imprecise, indeterminacies or ambiguous data, such as daily stock prices, weather forecast, social media sentiment temperatures. The suggested estimators are highly useful for computing results while working with unclear, hazy, neutrosophic-type data. These produce...

The paper considers the problem of finding optimum strata boundaries to optimize estimation sensitive/stigmatized characters when sample sizes from different are allocated proportionally totals auxiliary variable. Assuming form regression variable y on x as y=η(x)+e and conditional variance V(y∣x), rule for approximate is proposed. limiting expression estimator mean in stratification has also been obtained.

Chakrabarty, Khoshnevisan, Sahai and Ray, Solanki suggested some estimators to estimate unknown population mean of the study variable. These authors discussed along with their first order biases square errors(MSEs). In this paper, we have tried found out second errors using information on auxiliary attribute. We compared performance help a numerical illustration.

This paper proposes a class of estimators based on information two auxiliary variables.The expressions mean square errors the proposed are derived in general form.It is shown that always more efficient than regression estimator variable, by Abu-Dayeh (2003) and recently Lu Yan (2014).In addition, we support this theoretical result an empirical study using original data to show superiority constructed over others.