Yashpal Singh Raghav
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View article: Concomitants of lower record statistics for Bivariate Pseudo Powered Inverse Rayleigh distribution.
Concomitants of lower record statistics for Bivariate Pseudo Powered Inverse Rayleigh distribution. Open
The concept of p- th record value was introduced by Dziubdziela and Kopocinski (1976). In this paper, we have considered concomitants of p- th lower record values (LRV) for Bivariate Pseudo Powered Inverse Rayleigh (BPPIR) distribution. Fu…
View article: The new transformed Sine G family of distribution with inferences and application
The new transformed Sine G family of distribution with inferences and application Open
This article introduces the New Transformed Sine G Family of distributions, which is a new probability distribution based on trigonometric transformation. It provides detailed derivations of the statistical properties associated with this …
View article: A Novel Alpha-Power X Family: A Flexible Framework for Distribution Generation with Focus on the Half-Logistic Model
A Novel Alpha-Power X Family: A Flexible Framework for Distribution Generation with Focus on the Half-Logistic Model Open
This study introduces a new and flexible class of probability distributions known as the novel alpha-power X (NAP-X) family. A key development within this framework is the novel alpha-power half-logistic (NAP-HL) distribution, which extend…
View article: Statistical Inference and Goodness-of-Fit Assessment Using the AAP-X Probability Framework with Symmetric and Asymmetric Properties: Applications to Medical and Reliability Data
Statistical Inference and Goodness-of-Fit Assessment Using the AAP-X Probability Framework with Symmetric and Asymmetric Properties: Applications to Medical and Reliability Data Open
Probability models are instrumental in a wide range of applications by being able to accurately model real-world data. Over time, numerous probability models have been developed and applied in practical scenarios. This study introduces the…
View article: Neural networks to model COVID-19 dynamics and allocate healthcare resources
Neural networks to model COVID-19 dynamics and allocate healthcare resources Open
This study presents a neural network-based framework for COVID-19 transmission prediction and healthcare resource optimization. The model achieves high prediction accuracy by integrating epidemiological, mobility, vaccination, and environm…
View article: Exploring Relationships and Inference Methods for Moments of Dual Generalized Order Statistics Derived from the Siddiqui-Dwivedi Distribution
Exploring Relationships and Inference Methods for Moments of Dual Generalized Order Statistics Derived from the Siddiqui-Dwivedi Distribution Open
In this paper, recurrence relation for single and product moments of dual generalized order statistics (DGOS) from Siddiqui-Dwivedi (SD) distribution are obtained. Furthermore, we provide the minimum variance linear unbiased estimator (MVL…
View article: On Combining Ratio and Product Type Estimators For Estimation of Finite Population Mean In Adaptive Cluster Sampling Design
On Combining Ratio and Product Type Estimators For Estimation of Finite Population Mean In Adaptive Cluster Sampling Design Open
This article introduces a novel class of estimators and several new novel member estimators, combining the ratio and product forms, within the framework of Adaptive Cluster Sampling (ACS) design for estimating finite population mean. Speci…
View article: The effects of inflation, shortages, and partial backlogs on products that deteriorate over time in response to varied demand
The effects of inflation, shortages, and partial backlogs on products that deteriorate over time in response to varied demand Open
This study aims to determine an optimal policy to deal with a situation where a retailer should have enough stock to meet customer demands and prevent supply loss and deterioration. In this study, we demonstrate the impact of partial backl…
View article: Enhancing estimation efficiency with proposed estimator: A comparative analysis of Poisson regression-based mean estimators
Enhancing estimation efficiency with proposed estimator: A comparative analysis of Poisson regression-based mean estimators Open
In many studies, the Poisson regression model is mostly intended for modelling count responses. Recently, it was shown that the exploitation of the Poisson regression coefficient within the Koç (2021) ratio estimator increases the efficien…
View article: Estimation of population mean using ranked set sampling in the presence of measurement errors
Estimation of population mean using ranked set sampling in the presence of measurement errors Open
Ranked set sampling is widely acknowledged for its superior efficiency compared with simple random sampling. Only a small amount of work has been conducted using ranked set sampling when measurement errors are present. This study introduce…
View article: Python code for modeling ARIMA-LSTM architecture with random forest algorithm
Python code for modeling ARIMA-LSTM architecture with random forest algorithm Open
View article: Marketing performance and factors influencing farmers choice for agricultural output marketing channels: the case of garden pea (Pisum sativum) in India
Marketing performance and factors influencing farmers choice for agricultural output marketing channels: the case of garden pea (Pisum sativum) in India Open
Agriculture is the backbone of Indian economy and farmers play significant role in sustaining the sector. However, farmers face several challenges such as poor market access and limited access to market information which adversely affect t…
View article: Multiobjective intuitionistic fuzzy programming under pessimistic and optimistic applications in multivariate stratified sample allocation problems
Multiobjective intuitionistic fuzzy programming under pessimistic and optimistic applications in multivariate stratified sample allocation problems Open
This study investigates the compromise allocation of multivariate stratified sampling with complete response and nonresponse. We have formulated a multivariate stratified sampling problem as a mathematical programming problem to estimate p…
View article: MODELING AND FORECASTING OF LENTIL PRODUCTION IN INDIA AND ITS INSTABILITY
MODELING AND FORECASTING OF LENTIL PRODUCTION IN INDIA AND ITS INSTABILITY Open
India is a major producer of pulses around the world, which constitute an essential component of vegetarians' protein-rich diets in India. The present study attempts to apply the autoregressive integrated moving average (ARIMA) and Holt li…
View article: MODELING AND FORECASTING OF TEA PRODUCTION IN INDIA
MODELING AND FORECASTING OF TEA PRODUCTION IN INDIA Open
There are many measures of the importance of a crop to the economy, including its area, output, and yield increase. The current study will look at the growth rates of tea acreage, output, and yield in India using training data from 1918 to…
View article: Modelling and Forecasting of Pulses Production in South Asian Countries and its Role in Nutritional Security
Modelling and Forecasting of Pulses Production in South Asian Countries and its Role in Nutritional Security Open
Background: The goal of this study was to forecast pulse production in six countries: Afghanistan, Bangladesh, China, India, Nepal and Pakistan (2020-2027). In this study, time series forecasting was used. Methods: The data series were div…
View article: The Mathematical Modeling Approach for the Wastewater Treatment Process in Saudi Arabia during COVID‐19 Pandemic
The Mathematical Modeling Approach for the Wastewater Treatment Process in Saudi Arabia during COVID‐19 Pandemic Open
The novel coronavirus disease (COVID‐19) pandemic has had devastating effects on healthcare systems and the global economy. Moreover, coronavirus has been found in human feces, sewage, and in wastewater treatment plants. In this paper, we …
View article: Estimation and Optimization for System Availability Under Preventive Maintenance
Estimation and Optimization for System Availability Under Preventive Maintenance Open
Engineers design systems to be reliable and work to fulfil their missions without failure for a specific period. However, the system components deteriorate with time and lead to its failures. A frequent system failure increases the managem…
View article: Estimation of general parameters using auxiliary information in simple random sampling without replacement
Estimation of general parameters using auxiliary information in simple random sampling without replacement Open
Estimation of population parameters plays a vital role in the area of sampling. Many authors have proposed several estimators for estimating population parameter(s) using auxiliary information. This paper has attempted to suggest a new est…
View article: Modeling on Wastewater Treatment Process in Saudi Arabia: a perspective of Covid-19
Modeling on Wastewater Treatment Process in Saudi Arabia: a perspective of Covid-19 Open
The novel coronavirus disease (COVID-19) pandemic has had devastating effects on healthcare systems and the global economy. Moreover, coronavirus has been found in human feces, sewage, and in wastewater treatment plants. In this paper, we …
View article: Optimal Solution of Multi-Choice Mathematical Programming Problem Using a New Technique
Optimal Solution of Multi-Choice Mathematical Programming Problem Using a New Technique Open
The study deals with the multi-choice mathematical programming problem, where the right hand side of the constraints is multi-choice in nature. However, the problem of multi-choice linear programming cannot be solved directly by standard l…