5 papers
Copula-Based Bivariate Kumaraswamy-Teissier Distributions: Modeling Temperature-Rainfall Dependence and Compound Extremes
Kamana Mishra, Tanmay Kayal, Sarita Azad
This study proposes two novel bivariate distributions for jointly modeling temperature and rainfall by integrating Kumaraswamy-Teissier marginals with Clayton and Gumbel copula str…
A Quantile-Based Kumaraswamy-Teissier autoregressive moving average models
Kamana Mishra, Tanmay Kayal, Sarita Azad
This paper introduces a quantile-based Kumaraswamy-Teissier autoregressive moving average (KTARMA) model for positive-valued time series. Leveraging the flexibility of the extended…
Optimal Designs in Multicomponent Stress Strength Reliability for the Unit Generalized Rayleigh Distribution
Rajat Das, Yogesh Mani Tripathi, Tanmay Kayal
A unified inferential framework is developed to address the stress-strength reliability of multicomponent systems under progressive Type II censoring. The maximum likelihood estima…
Optimum Multiple Sampling Plan Based on the Process Capability Index Under Type-II Hybrid Censoring
Rajat Das, Tanmay Kayal, Yogesh Mani Tripathi +1
This paper proposes a stage independent multiple sampling plan (SIMSP) to improve inspection efficiency by reducing the number of samples required at each sampling stage. Unlike co…
A Novel Hybrid Approach for Time Series Forecasting: Period Estimation and Climate Data Analysis Using Unsupervised Learning and Spline Interpolation
Tanmay Kayal, Abhishek Das, U Saranya
This article explores a novel approach to time series forecasting applied to the context of Chennai's climate data. Our methodology comprises two distinct established time series m…