Copertina

On the E(s^2)-optimality of two-level supersaturated designs constructed using Wu's method of partially aliased interactions on certain two-level orthogonal arrays

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Androulakis, Emmanouil, Chatterjee, Kashinath, Evangelaras, Haralambos
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Methodology Primary 62K15, Secondary 05B20
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

D-optimal Subsampling Design for Massive Data Linear Regression
di: Glemser, Torsten, et al.
Pubblicazione: (2023)

A model and method for analyzing the precision of binary measurement methods based on beta-binomial distributions, and related statistical tests
di: Takeshita, Jun-ichi, et al.
Pubblicazione: (2020)

Optimal Design in Repeated Testing for Count Data
di: Parsamaram, Parisa, et al.
Pubblicazione: (2024)

On the Validity of Isotropic Covariance Functions for Set-indexed Random Fields
di: Godoy, Lucas da Cunha, et al.
Pubblicazione: (2025)

Analysis of Two-Stage Rollout Designs with Clustering for Causal Inference under Network Interference
di: Cortez-Rodriguez, Mayleen, et al.
Pubblicazione: (2024)

Optimal designs for discrete choice models via graph Laplacians
di: Röttger, Frank, et al.
Pubblicazione: (2022)

The square array design
di: Bailey, R. A., et al.
Pubblicazione: (2024)

Power Analysis for Experiments with Clustered Data, Ratio Metrics, and Regression for Covariate Adjustment
di: Hesterberg, Tim, et al.
Pubblicazione: (2024)

A stochastic method to estimate a zero-inflated two-part mixed model for human microbiome data
di: Barrera, John, et al.
Pubblicazione: (2025)

Statistical inference for subgraph counts and clustering coefficient using network sampling in a sparse Stochastic Block Model framework
di: Mandal, Anirban, et al.
Pubblicazione: (2024)

Graphical criteria for the identification of marginal causal effects in continuous-time survival and event-history analyses
di: Røysland, Kjetil, et al.
Pubblicazione: (2022)

A two-way heterogeneity model for dynamic networks
di: Jiang, Binyan, et al.
Pubblicazione: (2023)

A spatial-correlated multitask linear mixed-effects model for imaging genetics
di: Pu, Zhibin, et al.
Pubblicazione: (2024)

Symmetrisation of a class of two-sample tests by mutually considering depth ranks including functional spaces
di: Gnettner, Felix, et al.
Pubblicazione: (2023)

Teaching Longitudinal Linear Mixed Models End-to-End: A Reproducible Case Study in Mouse Body-Weight Growth
di: Adetunji, Sunday A.
Pubblicazione: (2025)

Toward design-based inference for data integration
di: Čiginas, Andrius, et al.
Pubblicazione: (2026)

Enhancing Seasonal Adjustment Space Models: Constraints and Regularization for Improved Trend and AR Decomposition
di: Kitagawa, Genshiro
Pubblicazione: (2025)

Independent vector analysis -- an introduction for statisticians
di: Arvila, Miro, et al.
Pubblicazione: (2025)

Quick and Simple Kernel Differential Equation Regression Estimators for Data with Sparse Design
di: Ge, Chunlei, et al.
Pubblicazione: (2024)

Variance component mixture modelling for longitudinal T-cell receptor clonal dynamics
di: Swanson, David, et al.
Pubblicazione: (2025)

Improving knockoffs with conditional calibration
di: Luo, Yixiang, et al.
Pubblicazione: (2022)

Sparse canonical correlation analysis for multiple measurements with latent trajectories
di: Senar, Nuria, et al.
Pubblicazione: (2025)

Optimal shrinkage estimation in heteroscedastic hierarchical linear models
di: Kou, Samuel, et al.
Pubblicazione: (2015)

Information Criterion for the Gaussian and/or Laplace Distribution Models
di: Kitagawa, Genshiro
Pubblicazione: (2025)

Evaluating Randomness Assumption: A Novel Graph Theoretic Approach
di: Gehlot, Shriya, et al.
Pubblicazione: (2025)

Gaussian Process State-Space Modeling and Particle Filtering for Time Series Decomposition and Nonlinear Signal Extraction
di: Kitagawa, Genshiro
Pubblicazione: (2025)

Backward Smoothing versus Fixed-Lag Smoothing in Particle Filters
di: Kitagawa, Genshiro
Pubblicazione: (2026)

Semiparametric Copula Estimation for Spatially Correlated Multivariate Mixed Outcomes: Analyzing Visual Sightings of Fin Whales from a Line Transect Survey
di: Momozaki, Tomotaka, et al.
Pubblicazione: (2023)

Bayesian Optimization of Noisy Log-Likelihoods Evaluated by Particle Filters -- One Parameter Case --
di: Kitagawa, Genshiro
Pubblicazione: (2026)

Bayesian measures of leverage and influence
di: Plummer, Martyn
Pubblicazione: (2025)

Semiparametric marginal promotion time cure model for clustered survival data
di: Xiao, Fei, et al.
Pubblicazione: (2025)

Simultaneous Inference for Multiple Proportions: A Multivariate Beta-Binomial Model
di: Westphal, Max
Pubblicazione: (2019)

Periodically Correlated Time Series and the Variable Bandpass Periodic Block Bootstrap
di: Valachovic, Edward
Pubblicazione: (2024)

Parametric Bootstrap for Fixed Edge-Probability Network Models
di: Shao, Zhixuan, et al.
Pubblicazione: (2024)

Bagging cross-validated bandwidths with application to Big Data
di: Barreiro-Ures, Daniel, et al.
Pubblicazione: (2024)

Quadratic inference with dense functional responses
di: Niyogi, Pratim Guha, et al.
Pubblicazione: (2024)

A Triginometric Seasonal Component Model and its Application to Time Series with Two Types of Seasonality
di: Kitagawa, G.
Pubblicazione: (2024)

Optimal design of experiments with quantitative-sequence factors
di: Wang, Yaping, et al.
Pubblicazione: (2025)

Empirical Likelihood-Based Fairness Auditing: Distribution-Free Certification and Flagging
di: Tang, Jie, et al.
Pubblicazione: (2026)

Bayesian Joint Modeling of Interrater and Intrarater Reliability with Multilevel Data
di: Hawila, Nour, et al.
Pubblicazione: (2024)