Cover Image

Inference of Half Logistic Geometric Distribution Based on Generalized Order Statistics

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gupta, Neetu, Neogy, S. K., Azhad, Qazi J., Devi, Bhagwati
Format:	Preprint
Published:	2025
Subjects:	Methodology Statistics Theory G.3
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Bayesian estimation of Unit-Weibull distribution based on dual generalized order statistics with application to the Cotton Production Data
by: Azhad, Qazi J., et al.
Published: (2025)

A Novel Bivariate Generalized Weibull Distribution with Properties and Applications
by: Pathak, Ashok Kumar, et al.
Published: (2021)

Nonparametric f-Modeling for Empirical Bayes Inference with Unequal and Unknown Variances
by: Zhao, Zhigen, et al.
Published: (2026)

Properties of stationary cyclical processes
by: Lenart, Łukasz
Published: (2024)

Insights into Tail-Based and Order Statistics
by: Almani, Hamidreza Maleki
Published: (2025)

Using negative controls to identify causal effects with invalid instrumental variables
by: Dukes, Oliver, et al.
Published: (2022)

A Geometric Perspective on Bayesian and Generalized Fiducial Inference
by: Liu, Yang, et al.
Published: (2022)

Optimality of the Half-Order Exponent in the Turing-Good Identities for Bayes Factors
by: Okada, Kensuke
Published: (2026)

Nonparametric Statistical Inference via Metric Distribution Function in Metric Spaces
by: Wang, Xueqin, et al.
Published: (2021)

On relative universality, regression operator, and conditional independence
by: Li, Bing, et al.
Published: (2025)

The Nearest-Neighbor Derivative Process: Modeling Spatial Rates of Change in Massive Datasets
by: Chen, Jiawen, et al.
Published: (2025)

Kernel-based estimators for functional causal effects
by: Raykov, Yordan P., et al.
Published: (2025)

Permutation Inference under Multi-way Clustering and Missing Data
by: Guo, Wenxuan, et al.
Published: (2026)

From Global to Local Correlation: Geometric Decomposition of Statistical Inference
by: Gajer, Pawel, et al.
Published: (2025)

Efficient Semiparametric Inference for Distributed Data with Blockwise Missingness
by: Huang, Jingyue, et al.
Published: (2025)

Statistical Inference for Cell Type Deconvolution
by: Xie, Dongyue, et al.
Published: (2022)

Statistical significance revisited
by: Tormählen, Maike, et al.
Published: (2021)

Valid Bayesian Inference based on Variance Weighted Projection for High-Dimensional Logistic Regression with Binary Covariates
by: Ojha, Abhishek, et al.
Published: (2024)

Spectrally Robust Covariance Shrinkage for Hotelling's $T^2$ in High Dimensions
by: Robinson, Benjamin D., et al.
Published: (2025)

Individualized Dynamic Latent Factor Model for Multi-resolutional Data with Application to Mobile Health
by: Zhang, Jiuchen, et al.
Published: (2023)

Robust Max Statistics for High-Dimensional Inference
by: Liu, Mingshuo, et al.
Published: (2024)

Post-Hoc Large-Sample Statistical Inference
by: Chugg, Ben, et al.
Published: (2026)

Statistical Inference for Subgraph Frequencies of Exchangeable Hyperedge Models
by: Bhattacharya, Ayoushman, et al.
Published: (2025)

Statistical Inference on Latent Space Models for Network Data
by: Li, Jinming, et al.
Published: (2023)

Statistical Inference with Nonignorable Non-Probability Survey Samples
by: Liu, Yang, et al.
Published: (2024)

Least Squares-Based Permutation Tests in Time Series
by: Romano, Joseph P., et al.
Published: (2024)

Structural restrictions in local causal discovery: identifying direct causes of a target variable
by: Bodik, Juraj, et al.
Published: (2023)

Statistical Inference for Random Unknowns via Modifications of Extended Likelihood
by: Lee, Hangbin, et al.
Published: (2023)

Statistical Inference on High Dimensional Gaussian Graphical Regression Models
by: Meng, Xuran, et al.
Published: (2024)

Frequency Domain Statistical Inference for High-Dimensional Time Series
by: Krampe, Jonas, et al.
Published: (2022)

Statistical Inference for Low-Rank Tensors: Heteroskedasticity, Subgaussianity, and Applications
by: Agterberg, Joshua, et al.
Published: (2024)

A Bivariate Poisson-Gamma Distribution: Statistical Properties and Practical Applications
by: Ghosh, Indranil, et al.
Published: (2025)

Debiased Nonparametric Regression for Statistical Inference and Distributionally Robustness
by: Kato, Masahiro
Published: (2024)

Scalable Kernel-Based Distances for Statistical Inference and Integration
by: Naslidnyk, Masha
Published: (2026)

On a Probability Inequality for Order Statistics with Applications to Bootstrap, Conformal Prediction, and more
by: Paul, Manit, et al.
Published: (2026)

Statistical Inference in High-dimensional Poisson Regression with Applications to Mediation Analysis
by: Rakshit, Prabrisha, et al.
Published: (2024)

Statistical Convergence Rates of Optimal Transport Map Estimation between General Distributions
by: Ding, Yizhe, et al.
Published: (2024)

Cross-World Assumption and Refining Prediction Intervals for Individual Treatment Effects
by: Bodik, Juraj, et al.
Published: (2025)

Granger Causality in Extremes
by: Bodik, Juraj, et al.
Published: (2024)

A Heavily Right Strategy for Statistical Inference with Dependent Studies in Any Dimension
by: Liu, Tianle, et al.
Published: (2025)