Evaluating the performance of memory type logarithmic estimators using simple random sampling

Article Statistics & Probability

Memory type ratio and product estimators under ranked-based sampling schemes

Irfan Aslam et al.

Summary: The exponential weighted moving average (EWMA) statistic is used to estimate the population mean and two types of estimators are proposed. The performance of the estimators is evaluated through simulation and empirical studies.

COMMUNICATIONS IN STATISTICS-THEORY AND METHODS (2023)

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Article Statistics & Probability

An improved class of robust ratio estimators by using the minimum covariance determinant estimation

Hasan Bulut et al.

Summary: This article discusses the use of robust covariance estimation for ratio estimators of the population mean under a simple random scheme. It extends the estimators proposed by Zaman and Bulut by incorporating minimum covariance determinant (MCD) robust covariance estimation. The theoretical results are supported by numerical examples and simulations with outlier-inclusive datasets.

COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION (2022)

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Article Statistics & Probability

Novel Log Type Class Of Estimators Under Ranked Set Sampling

Shashi Bhushan et al.

Summary: This paper introduces a novel class of log type estimators for population mean estimation using ranked set sampling and auxiliary variable information, with comparisons to existing methods and validation through computational studies. The impact of skewness and kurtosis on the efficiency of the proposed estimators is also investigated and reported based on previous studies by McIntyre, Dell, and Dell and Clutter.

SANKHYA-SERIES B-APPLIED AND INTERDISCIPLINARY STATISTICS (2022)

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Article Computer Science, Software Engineering

A new exponential estimators for analysis of COVID-19 risk

Tolga Zaman et al.

Summary: COVID-19 is a major issue globally, and understanding the risk levels of countries is crucial in determining appropriate measures. Risk assessment is more important than specific numbers like case counts and deaths.

CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE (2022)

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Article Statistics & Probability

Memory-type ratio and product estimators for population variance using exponentially weighted moving averages for time-scaled surveys

Muhammad Nouman Qureshi et al.

Summary: In this study, memory-type ratio and product estimators based on EWMA statistic were proposed for the estimation of population variance. The performance of the estimators was mathematically evaluated, showing that utilizing previous sampled information can enhance the efficiency for time-scaled surveys.

COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION (2022)

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Article Statistics & Probability

Compromised imputation based mean estimators using robust quantile regression

Malik Muhammad Anas et al.

Summary: This research investigates the estimation of population mean in the presence of missing data, proposing a modified class of estimators and a class of quantile regression estimators. The utilization of quantile regression enhances the accuracy of estimation, especially when extreme observations are present.

COMMUNICATIONS IN STATISTICS-THEORY AND METHODS (2022)

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Article Engineering, Multidisciplinary

On some novel classes of estimators using ranked set sampling

Shashi Bhushan et al.

Summary: This study introduces novel classes of estimators using ranked set sampling with additional information on an auxiliary variable to evaluate the population mean. These estimators are found to be more efficient compared to existing ones, and their superiority is supported by computational results using real and hypothetical populations.

ALEXANDRIA ENGINEERING JOURNAL (2022)

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Article Statistics & Probability

Memory type estimators of population mean using exponentially weighted moving averages for time scaled surveys

Muhammad Noor-ul-Amin

Summary: The study proposes ratio and product estimators based on time scale using EWMA statistic, which includes both current and past sample information. The efficiency of the proposed estimators is proven through mathematical conditions, and simulation results show that utilizing past sample information improves performance. Real-life examples are used to demonstrate the application of the proposed estimators.

COMMUNICATIONS IN STATISTICS-THEORY AND METHODS (2021)

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Article Engineering, Multidisciplinary

Robust Regression-Ratio-Type Estimators of the Mean Utilizing Two Auxiliary Variables: A Simulation Study

Tolga Zaman et al.

Summary: This study improves the proposed estimators by utilizing robust regression techniques, which perform well in the presence of outliers. The efficiencies of the suggested estimators are compared with the estimators presented in the literature through numerical examples and simulation studies.

MATHEMATICAL PROBLEMS IN ENGINEERING (2021)

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Article Computer Science, Information Systems

Study of a Memory Type Shrinkage Estimator of Population Mean in Quality Control Process

Garib Nath Singh et al.

Summary: Controlling and improving quality is a major business strategy for various organizations as it provides a competitive advantage by maintaining high quality products or services and satisfying customers. Control charts are used in Statistical Process Control to reduce variability and estimate parameters. The manuscript introduces a memory-type estimator using hybrid exponentially moving average statistic, which utilizes prior information for better estimates from time-scale based data. Simulation studies demonstrate its efficiency over conventional estimators.

IEEE ACCESS (2021)

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Article Statistics & Probability