2019 yılının en çok atıf alan Matematik makaleleri

2019 yılında yayımlanan ve OpenAlex'te en çok atıf alan 25 Matematik makalesi; özgün özetleri ve varsa ücretsiz PDF'leriyle.

1. Moving to a World Beyond “ p < 0.05”
   Ron Wasserstein, Allen L. Schirm et al. · 2019 · 2.983 atıf
2. Multicollinearity and misleading statistical results
   Jonghae Kim · 2019 · 2.829 atıf
3. Descriptive statistics and normality tests for statistical data
   Anshul Gupta, Prabhakar Mishra et al. · 2019 · 2.617 atıf
4. Calibration: the Achilles heel of predictive analytics
   On behalf of Topic Group ‘Evaluating diagnostic tests and prediction models’ of the STRATOS initiative, Ben VAN CALSTER et al. · 2019 · 2.431 atıf · Ücretsiz PDF
5. Computational Optimal Transport with Applications to Data Sciences
   Gabriel Peyré, Marco Cuturi · 2019 · 2.335 atıf
6. Generalized random forests
   Susan Carleton Athey, Julie Tibshirani et al. · 2019 · 1.914 atıf · Ücretsiz PDF
7. How to perform and report an impactful analysis using partial least squares: Guidelines for confirmatory and explanatory IS research
   Jose Benitez, Jörg Henseler et al. · 2019 · 1.772 atıf
8. Why Propensity Scores Should Not Be Used for Matching
   Gary King, Richard A. Nielsen · 2019 · 1.672 atıf
9. Hyperparameters and tuning strategies for random forest
   Philipp Probst, Marvin N. Wright et al. · 2019 · 1.641 atıf · Ücretsiz PDF
10. Principles of confounder selection
    Tyler J. VanderWeele · 2019 · 1.520 atıf · Ücretsiz PDF
11. bayestestR: Describing Effects and their Uncertainty, Existence and Significance within the Bayesian Framework
    Dominique Makowski, Mattan S. Ben‐Shachar et al. · 2019 · 1.501 atıf · Ücretsiz PDF
12. Using simulation studies to evaluate statistical methods
    Tim P. Morris, Ian R. White et al. · 2019 · 1.303 atıf · Ücretsiz PDF
13. Statistical predictions with glmnet
    Solveig Engebretsen, Jon Bohlin · 2019 · 1.205 atıf · Ücretsiz PDF
14. Hierarchical generalized additive models in ecology: an introduction with mgcv
    Eric J. Pedersen, David L. Miller et al. · 2019 · 1.202 atıf
15. Elasticities and the Inverse Hyperbolic Sine Transformation
    Marc F. Bellemare, Casey J. Wichman · 2019 · 1.189 atıf
16. Tensor Robust Principal Component Analysis with a New Tensor Nuclear Norm
    Canyi Lu, Jiashi Feng et al. · 2019 · 1.159 atıf
17. Machine Learning Methods That Economists Should Know About
    Susan Carleton Athey, Guido W. Imbens · 2019 · 1.153 atıf
18. A simple, step-by-step guide to interpreting decision curve analysis
    Andrew Julian Vickers, Ben VAN CALSTER et al. · 2019 · 1.147 atıf · Ücretsiz PDF
19. Visualization in Bayesian Workflow
    Jonah Gabry, Daniel Simpson et al. · 2019 · 1.094 atıf · Ücretsiz PDF
20. Metalearners for estimating heterogeneous treatment effects using machine learning
    Sören R. Künzel, Jasjeet Singh Sekhon et al. · 2019 · 1.075 atıf · Ücretsiz PDF
21. Making Sense of Sensitivity: Extending Omitted Variable Bias
    Carlos Cinelli, Chad J. Hazlett · 2019 · 1.070 atıf
22. The proportion of missing data should not be used to guide decisions on multiple imputation
    Paul Madley‐Dowd, Rachael A. Hughes et al. · 2019 · 1.060 atıf
23. Balance diagnostics after propensity score matching
    Zhongheng Zhang, Hwa Jung Kim et al. · 2019 · 1.031 atıf
24. Using simulation studies to evaluate statistical methods
    Morris, TP, White, I et al. · 2019 · 1.022 atıf
25. Conditional Process Analysis: Concepts, Computation, and Advances in the Modeling of the Contingencies of Mechanisms
    Andrew F. Hayes, Nicholas Rockwood · 2019 · 1.009 atıf

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