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Finite-sample properties of estimators for first and second order autoregressive processes
The class of autoregressive (AR) processes is extensively used to model temporal dependence in observed time series. Such models are easily available...
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Calibration Adjustment for Dealing with Nonresponse in the Estimation of Poverty Measures
The analysis of poverty measures has been receiving increased attention in recent years. This paper contributes to the literature by develo**...
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Sliced Average Variance Estimation for Tensor Data
Tensor data have been widely used in many fields, e.g., modern biomedical imaging, chemometrics, and economics, but often suffer from some common...
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A Combined Family of Dual To Ratio Estimators Using a Transformed Auxiliary Variable
AbstractA combined family of dual to ratio estimators for population mean using the transformation of an auxiliary variable has been proposed under...
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Two Phase Adaptive Cluster Sampling under Transformed Population Approach
AbstractIn survey sampling, it might happen that information on the population mean of the auxiliary variable is not available, but it can be...
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Surrogate Membership for Inferred Metrics in Fairness Evaluation
As artificial intelligence becomes more embedded into daily activities, it is imperative to ensure models perform well for all subgroups. This is...
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Expected Shortfall Regression for Censored Data
Expected shortfall (ES), which conveys information regarding potential exceedances beyond the value-at-risk (VaR), is an important measure to...
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On the Normal Approximation of the Ratio of Means Estimation of Lognormal Distributions with Application to PM2.5 Concentrations in Northern Thailand
AbstractIn this article, we present the point estimation procedures of the ratio of means of two independent lognormal distributions and investigate...
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Bootstrap Intervals for the Mean of the Weighted Mixture Generalized Gamma Distribution
AbstractThe weighted mixture generalized gamma distribution (WMGG) is derived by combining two distributions, namely the generalized gamma...
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Heterogeneity Measure in Meta-analysis without Study-specific Variance Information
AbstractAssessing heterogeneity between the independent studies in a meta-analysis plays a critical role in quantifying the amount of dispersion. The...
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Maximum Full Likelihood Approach to Randomly Truncated Data
Truncated data are commonly observed in economics, epidemiology, and other fields. The analysis of truncated data is challenging because the observed...
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Iterative regularization for low complexity regularizers
Iterative regularization exploits the implicit bias of optimization algorithms to regularize ill-posed problems. Constructing algorithms with such...
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Cross-Product Ratio Calculation Under Different Sampling Schemes in Clinical Trials—Case Study of the CYP-GUIDES Trial
AbstractRecent advances in clinical trials have produced effective results for the treatment and prevention of diseases. Therefore, there is always a...
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Double Moving Extremes Ranked Set Sampling Design
The traditional simple random sampling (SRS) design method is ine cient in many cases. Statisticians proposed some new designs to increase e ciency....
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Optimal Strategy for Improved Estimation of Population Variance Using Known Auxiliary Parameters
The information on auxiliary variables has been shown to be beneficial to improve the precision of study variable estimates. In this paper, an...
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Does autocalibration improve goodness of lift?
Autocalibration is a desirable property since it ensures that the information contained in a candidate premium is used without any bias. It turns out...
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Leadership Through Influence: What Mechanisms Allow Leaders to Steer a Swarm?
Collective migration of cells and animals often relies on a specialised set of “leaders”, whose role is to steer a population of naive followers...
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Order Statistics of Generalized Topp–Leone Distribution with Application to Tissue Damage Proportions in Blood
AbstractOrder statistic plays an important role in statistical theoretical and practical problems. In this paper, we derive algebraic expressions for...
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Determination of Population Mean Using Neutrosophic, Exponential-Type Estimator
AbstractWhen, there is an ambiguity in the data, the classical statistics fails which only dealt with crisp, precise or determinate sorts of data to...
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Hook length biases and general linear partition inequalities
Motivated in part by hook-content formulas for certain restricted partitions in representation theory, we consider the total number of hooks of fixed...
