Cover Image

Rectangular augmented row-column designs generated from contractions

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Piepho, Hans-Peter, Williams, Emlyn
Format:	Preprint
Published:	2025
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The construction of augmented designs in square arrays
by: Williams, E. R., et al.
Published: (2025)

Fisher's ideas and the design of field experiments in agronomy and plant breeding
by: Piepho, Hans-Peter
Published: (2026)

Automatic Quality Control for Agricultural Field Trials -- Detection of Nonstationarity in Grid-indexed Data
by: Wolf, Karen, et al.
Published: (2025)

The use of fixed study main effects in arm‐based network meta‐analysis
by: Hans‐Peter Piepho, et al.
Published: (2024)

Regression approaches for modelling genotype-environment interaction and making predictions into unseen environments
by: Hrachov, Maksym, et al.
Published: (2025)

Change of some cropping systems in a long-term trial comparing different systems: rationale and implications for statistical analysis
by: Piepho, Hans-Peter, et al.
Published: (2025)

Next generation clinical trials: Seamless designs and master protocols
by: Burdon, Abigail, et al.
Published: (2024)

On the two-step hybrid design for augmenting randomized trials using real-world data
by: Xu, Jiapeng, et al.
Published: (2025)

Sparsity learning via structured functional factor augmentation
by: Ma, Hanteng, et al.
Published: (2025)

Sequential adaptive design for emulating costly computer codes
by: Mohammadi, Hossein, et al.
Published: (2022)

The data augmentation algorithm
by: Roy, Vivekananda, et al.
Published: (2024)

Transfer learning for high-dimensional Factor-augmented sparse linear model
by: Fu, Bo, et al.
Published: (2025)

Adaptive adequacy testing of high-dimensional factor-augmented regression model
by: Shi, Yanmei, et al.
Published: (2025)

An alternative bootstrap procedure for factor-augmented regression models
by: Jiang, Peiyun, et al.
Published: (2025)

Unbiased estimation in two-stage adaptive enrichment designs
by: Li, Enyu, et al.
Published: (2026)

Efficiency gain in association studies based on population surveys by augmenting outcome data from the target population
by: Härkänen, Tommi, et al.
Published: (2024)

Feedback-augmented Non-homogeneous Hidden Markov Models for Longitudinal Causal Inference
by: Helske, Jouni
Published: (2025)

Confidence intervals for two-stage adaptive designs with subpopulation selection
by: Li, Enyu, et al.
Published: (2026)

Monotone data augmentation algorithm for longitudinal continuous, binary and ordinal outcomes: a unifying approach
by: Tang, Yongqiang
Published: (2025)

Estimating psychometric functions from adaptive designs
by: Kristensen, Simon Bang, et al.
Published: (2022)

A unified generalization of inverse regression via adaptive column selection
by: Jin, Yin, et al.
Published: (2024)

A duration-augmented binary Markov chain for rainfall occurrence with long dry spells
by: Doizé, Antoine, et al.
Published: (2026)

A multi-arm multi-stage design for trials with all pairwise testing
by: Greenstreet, Peter, et al.
Published: (2025)

Accounting for spillover when using the augmented synthetic control method: estimating the effect of localized COVID-19 lockdowns in Chile
by: Krajewski, Taylor, et al.
Published: (2025)

Doubly robust augmented weighting estimators for the analysis of externally controlled single-arm trials and unanchored indirect treatment comparisons
by: Campbell, Harlan, et al.
Published: (2025)

Gibbs optimal design of experiments
by: Overstall, Antony M., et al.
Published: (2023)

Dimension estimation in PCA model using high-dimensional data augmentation
by: Radojicic, Una, et al.
Published: (2025)

TaxaPLN: a taxonomy-aware augmentation strategy for microbiome-trait classification including metadata
by: Chaussard, Alexandre, et al.
Published: (2025)

Improving operating characteristics of clinical trials by augmenting control arm using propensity score-weighted borrowing-by-parts power prior
by: Das, Apu Chandra, et al.
Published: (2026)

More power to you: Using machine learning to augment human coding for more efficient inference in text-based randomized trials
by: Mozer, Reagan, et al.
Published: (2023)

Efficient designs for multivariate crossover trials
by: Niphadkar, Shubham, et al.
Published: (2024)

Semiparametric estimation of GLMs with interval-censored covariates via an augmented Turnbull estimator
by: Toloba, Andrea, et al.
Published: (2026)

A new method for augmenting short time series, with application to pain events in sickle cell disease
by: Utkarsh, Kumar, et al.
Published: (2026)

Two-level D- and A-optimal designs of Ehlich type with run sizes three more than a multiple of four
by: Hameed, Mohammed Saif Ismail, et al.
Published: (2025)

Evaluating virtual-control-augmented trials for reproducing treatment effect from original RCTs
by: Fernandes, Alex, et al.
Published: (2025)

A comparative study of augmented inverse propensity weighted estimators using outcome-oriented covariate selection via penalization with outcome-adaptive lasso
by: Hongo, Wataru, et al.
Published: (2024)

Two-stage indirect determinantal sampling designs
by: Loons, Vincent
Published: (2025)

Model-robust standardization in stepped wedge designs
by: Fang, Xi, et al.
Published: (2025)

Bayesian regression discontinuity design with unknown cutoff
by: Kowalska, Julia, et al.
Published: (2024)

Extended semi-Latin squares for use in field and glasshouse trials
by: Williams, E. R.
Published: (2025)