A Corrected Welch Satterthwaite Equation. And: What You Always Wanted to Know About Kish's Effective Sample but Were Afraid to Ask
Fuente:
arXiv
Guardado en:
| Autor principal: | von Davier, Matthias |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Everything You Always Wanted to Know About Law Libraries but Were Afraid to Ask
por: Mersky, Roy M.
Publicado: (1978)
por: Mersky, Roy M.
Publicado: (1978)
What You Always Wanted to Know about the Card Catalog and Were Afraid to Ask!
por: DuPree, Sherry Sherrod
Publicado: (1978)
por: DuPree, Sherry Sherrod
Publicado: (1978)
Everything You Always Wanted to Know About XVA Model Risk but Were Afraid to Ask
por: Silotto, Lorenzo, et al.
Publicado: (2021)
por: Silotto, Lorenzo, et al.
Publicado: (2021)
Everything You Always Wanted To Know about E-Rate (But Were Afraid To Ask).
Publicado: (1997)
Publicado: (1997)
Everything You Always Wanted to Know About Storage Compressibility of Pre-Trained ML Models but Were Afraid to Ask
por: Su, Zhaoyuan, et al.
Publicado: (2024)
por: Su, Zhaoyuan, et al.
Publicado: (2024)
Everything You Always Wanted to Know About Censorship (But were Afraid to Ask) Explained
por: Oboler, Eli M.
Publicado: (1971)
por: Oboler, Eli M.
Publicado: (1971)
Everything You Wanted to Know About LLM-based Vulnerability Detection But Were Afraid to Ask
por: Li, Yue, et al.
Publicado: (2025)
por: Li, Yue, et al.
Publicado: (2025)
Everything You Always Wanted to Know About How Causal Set Theory Can Help with Open Questions in Cosmology, but Were Afraid to Ask
por: Yazdi, Yasaman K.
Publicado: (2023)
por: Yazdi, Yasaman K.
Publicado: (2023)
An Improved Satterthwaite Effective Degrees of Freedom Correction for Weighted Syntheses of Variance
por: von Davier, Matthias
Publicado: (2025)
por: von Davier, Matthias
Publicado: (2025)
Effective Degrees of Freedom for Balanced Repeated Replication and Paired Jackknife Variance Estimates: A Unified Approach via Stratum Contrasts
por: von Davier, Matthias
Publicado: (2026)
por: von Davier, Matthias
Publicado: (2026)
A Modified Satterthwaite (1941,1946) Effective Degrees of Freedom Approximation
por: von Davier, Matthias
Publicado: (2024)
por: von Davier, Matthias
Publicado: (2024)
What Quality Engineers Need to Know about Degradation Models
por: Clark, Jared M., et al.
Publicado: (2025)
por: Clark, Jared M., et al.
Publicado: (2025)
What Does the Public Want To Know? Ask Libraries.
por: Oder, Norman
Publicado: (1997)
por: Oder, Norman
Publicado: (1997)
The Missing Covariate Indicator Method is Nearly Valid Almost Always
por: Xu, Gang, et al.
Publicado: (2021)
por: Xu, Gang, et al.
Publicado: (2021)
So You Want to Know More About Reading?
por: Berger, Allen
Publicado: (1970)
por: Berger, Allen
Publicado: (1970)
Correcting Sample Selection Bias in PISA Rankings
por: Boussim, Onil
Publicado: (2023)
por: Boussim, Onil
Publicado: (2023)
BanditCAT and AutoIRT: Machine Learning Approaches to Computerized Adaptive Testing and Item Calibration
por: Sharpnack, James, et al.
Publicado: (2024)
por: Sharpnack, James, et al.
Publicado: (2024)
What Low‐Cost Sensors Can Tell Us About Urban Microclimates: A Case Study Around London's Olympic Park
por: Oscar Brousse, et al.
Publicado: (2025)
por: Oscar Brousse, et al.
Publicado: (2025)
Detecting and Correcting Sample-by-Sample Scale Distortion in RNA Sequencing Data
por: Thron, Christopher, et al.
Publicado: (2026)
por: Thron, Christopher, et al.
Publicado: (2026)
DIF Statistical Inference without Knowing Anchoring Items
por: Chen, Yunxiao, et al.
Publicado: (2021)
por: Chen, Yunxiao, et al.
Publicado: (2021)
Dealing With Assumptions and Sampling Bias in the Estimation of Effective Population Size: A Case Study in an Amphibian Population
por: Karen Cox, et al.
Publicado: (2024)
por: Karen Cox, et al.
Publicado: (2024)
You Can't Always Get What You Want: Games of Ordered Preference
por: Lee, Dong Ho, et al.
Publicado: (2024)
por: Lee, Dong Ho, et al.
Publicado: (2024)
Knowing what to know: Implications of the choice of prior distribution on the behavior of adaptive design optimization
por: Sloman, Sabina J., et al.
Publicado: (2023)
por: Sloman, Sabina J., et al.
Publicado: (2023)
Mortality Modelling using Generalized Estimating Equations
por: Dastranj, Reza, et al.
Publicado: (2024)
por: Dastranj, Reza, et al.
Publicado: (2024)
The Unreasonable Effectiveness of Monte Carlo Simulations in A/B Testing
por: Trencséni, Márton
Publicado: (2024)
por: Trencséni, Márton
Publicado: (2024)
Markov Renewal Proportional Hazards is All You Need
por: Cui, Elvis Han
Publicado: (2025)
por: Cui, Elvis Han
Publicado: (2025)
Everything You Wanted to Know About Consumer Light Management in Smart Energy
por: Mohanty, Prajnyajit, et al.
Publicado: (2024)
por: Mohanty, Prajnyajit, et al.
Publicado: (2024)
Know Your Clients' behaviours: a cluster analysis of financial transactions
por: Thompson, John R. J., et al.
Publicado: (2020)
por: Thompson, John R. J., et al.
Publicado: (2020)
The Problem of Dynamic Spatial Sampling and Geofence Surveillance
por: Davidson, Marty, et al.
Publicado: (2026)
por: Davidson, Marty, et al.
Publicado: (2026)
VA-Calibration: Correcting for Algorithmic Misclassification in Estimating Cause Distributions
por: Pramanik, Sandipan, et al.
Publicado: (2026)
por: Pramanik, Sandipan, et al.
Publicado: (2026)
Adapting Quantile Mapping to Bias Correct Solar Radiation Data
por: Bailey, Maggie D., et al.
Publicado: (2024)
por: Bailey, Maggie D., et al.
Publicado: (2024)
A Machine Learning Framework for Uncertainty-Calibrated Capability Decision under Finite Samples
por: Jiang, Fei, et al.
Publicado: (2026)
por: Jiang, Fei, et al.
Publicado: (2026)
Evaluating Organizational Effectiveness: A New Strategy to Leverage Multisite Randomized Trials for Valid Assessment
por: Hong, Guanglei, et al.
Publicado: (2024)
por: Hong, Guanglei, et al.
Publicado: (2024)
Comparative Effectiveness Research with Average Hazard for Censored Time-to-Event Outcomes: A Numerical Study
por: Xiong, Hong, et al.
Publicado: (2024)
por: Xiong, Hong, et al.
Publicado: (2024)
Bayesian Design for Sampling Anomalous Spatio-Temporal Data
por: Buchhorn, Katie, et al.
Publicado: (2024)
por: Buchhorn, Katie, et al.
Publicado: (2024)
Rethinking Structural Equation Modeling in Political Science: Challenges, Best Practices, and Future Directions
por: Zheng, Bang Quan
Publicado: (2025)
por: Zheng, Bang Quan
Publicado: (2025)
Estimating and Correcting Degree Ratio Bias in the Network Scale-up Method
por: Laga, Ian, et al.
Publicado: (2023)
por: Laga, Ian, et al.
Publicado: (2023)
A Weight-Dependent 1RM Prediction Equation Optimized on 303,494 Near-Failure Sets Across 388 Exercises
por: Marzagao, Thiago
Publicado: (2026)
por: Marzagao, Thiago
Publicado: (2026)
Bayesian Optimization of Sample Entropy Hyperparameters for Short Time Series
por: Blanks, Zachary, et al.
Publicado: (2024)
por: Blanks, Zachary, et al.
Publicado: (2024)
What do we mean when we say we are clustering multimorbidity?
por: Seth, Sohan, et al.
Publicado: (2025)
por: Seth, Sohan, et al.
Publicado: (2025)
Ejemplares similares
-
Everything You Always Wanted to Know About Law Libraries but Were Afraid to Ask
por: Mersky, Roy M.
Publicado: (1978) -
What You Always Wanted to Know about the Card Catalog and Were Afraid to Ask!
por: DuPree, Sherry Sherrod
Publicado: (1978) -
Everything You Always Wanted to Know About XVA Model Risk but Were Afraid to Ask
por: Silotto, Lorenzo, et al.
Publicado: (2021) -
Everything You Always Wanted To Know about E-Rate (But Were Afraid To Ask).
Publicado: (1997) -
Everything You Always Wanted to Know About Storage Compressibility of Pre-Trained ML Models but Were Afraid to Ask
por: Su, Zhaoyuan, et al.
Publicado: (2024)