Department of Statistics, UCLA
Parent: UCLA
eScholarship stats: History by Item for June through September, 2024
Item | Title | Total requests | 2024-09 | 2024-08 | 2024-07 | 2024-06 |
---|---|---|---|---|---|---|
2rj412j3 | Mate with the two Bishops in Kriegspiel | 942 | 7 | 928 | 5 | 2 |
2mk8r49v | Comparative Fit Indices in Structural Models | 529 | 122 | 133 | 161 | 113 |
3sr461nd | Fixed and Random Effects in Panel Data Using Structural Equations Models | 448 | 77 | 106 | 140 | 125 |
583610fv | A Generalized Definition of the Polychoric Correlation Coefficient | 418 | 116 | 106 | 95 | 101 |
7qp4604r | The Phi-coefficient, the Tetrachoric Correlation Coefficient, and the Pearson-Yule Debate | 330 | 58 | 100 | 62 | 110 |
6gv9n38c | Causal Diagrams for Empirical Research | 304 | 74 | 83 | 77 | 70 |
0pg6471b | Making sense of sensitivity: extending omitted variable bias | 264 | 54 | 90 | 80 | 40 |
87t603ns | On Statistical Criteria: Theory, History, and Applications | 256 | 89 | 68 | 51 | 48 |
27s1d3h7 | Robust Statistical Modeling Using the t- Distribution | 217 | 44 | 66 | 60 | 47 |
53n4f34m | Bayesian networks | 212 | 70 | 54 | 50 | 38 |
6cn677bx | Comparative Fit Indices in Structural Models | 211 | 35 | 42 | 61 | 73 |
9q6553kr | Object Perception as Bayesian Inference | 194 | 60 | 35 | 57 | 42 |
7j01t5sf | On the Relation Between the Polychoric Correlation Coefficient and Spearman's Rank Correlation Coefficient | 189 | 37 | 46 | 56 | 50 |
24w7k7m1 | Mahalanobis' Distance Beyond Normal Distributions | 185 | 30 | 63 | 47 | 45 |
8cs5815x | Vision as Bayesian Inference: Analysis by Synthesis? | 177 | 47 | 48 | 46 | 36 |
4bp1t13z | Designing Studies for Dose Response | 170 | 39 | 57 | 45 | 29 |
0789f7d3 | The Gifi System for Nonlinear Multivariate Analysis | 163 | 21 | 56 | 52 | 34 |
0tg4t8bd | Recent Developments in Causal Inference and Machine Learning | 150 | 31 | 40 | 40 | 39 |
6gr648np | Benchmarking Computational Doublet-Detection Methods for Single-Cell RNA Sequencing Data | 137 | 22 | 35 | 41 | 39 |
490131xj | The Causal Foundations of Structural Equation Modeling | 134 | 32 | 31 | 45 | 26 |
3141h70c | Scaling Corrections for Statistics in Covariance Structure Analysis | 132 | 18 | 38 | 42 | 34 |
49m7794d | A Comparison of Some Methodologies for the Factor Analysis of Non-Normal Likert Variables: A Note on the Size of the Model | 126 | 23 | 37 | 36 | 30 |
5f3177k0 | SOCRE: Statistics Online Computational Resource for Education | 121 | 4 | 11 | 25 | 81 |
99b2s80w | Heider vs Simmel: Emergent Features in Dynamic Structures | 115 | 19 | 29 | 38 | 29 |
65z429wc | Assessment and Propagation of Model Uncertainty | 113 | 20 | 35 | 39 | 19 |
2cs5m2sh | A Primer on Robust Regression | 109 | 21 | 32 | 37 | 19 |
8t51b39q | Emergent constraints on the large scale atmospheric circulation and regional hydroclimate: do they still work in CMIP6 and how much can they actually constrain the future? | 107 | 14 | 46 | 25 | 22 |
45x689gq | Identifiability of Path-Specific Effects | 106 | 30 | 36 | 17 | 23 |
05n729v1 | Homogeneity Analysis in R: The Package homals | 98 | 18 | 16 | 45 | 19 |
1gf0b3m7 | Simple and Canonical Correspondence Analysis Using the R Package anacor | 96 | 19 | 19 | 34 | 24 |
0zj8s368 | Statistical Assumptions as Empirical Commitments | 95 | 20 | 28 | 24 | 23 |
6st1j18s | Growing impact of wildfire on western US water supply | 92 | 21 | 32 | 23 | 16 |
5m64m4p5 | Introduction to Special Edition: The Future of the Textbook | 91 | 19 | 22 | 25 | 25 |
0fd986xb | Information Theory and an Extension of the Maximum Likelihood Principle by Hirotogu Akaike | 89 | 17 | 31 | 19 | 22 |
3mw1p0mb | Slicing Regression: Dimension Reduction via Inverse Regression | 89 | 10 | 38 | 25 | 16 |
9nh0d6wj | Probabilities of Causation: Three Counterfactual Interpretations and their Identification | 89 | 16 | 39 | 24 | 10 |
51v706k5 | Measuring Ethnic Bias: Can Misattribution-Based Tools from Social Psychology Reveal Group Biases that Economics Games Cannot? | 87 | 14 | 27 | 22 | 24 |
80s9k72v | An accurate and robust imputation method scImpute for single-cell RNA-seq data | 87 | 19 | 28 | 18 | 22 |
23c604tb | A Scaled Difference Chi-square Test Statistic for Moment Structure Analysis | 85 | 12 | 33 | 23 | 17 |
3r63h452 | Discussions | 85 | 16 | 24 | 26 | 19 |
4q74x3fr | The Foundations of Causal Inference | 84 | 20 | 23 | 21 | 20 |
5h9374jn | Tool for tracking all-cause mortality and estimating excess mortality to support the COVID-19 pandemic response: All-cause mortality calculator for COVID-19 response | 84 | 20 | 32 | 17 | 15 |
84j7c2w5 | Regression with Missing X's: A Review | 84 | 12 | 30 | 28 | 14 |
52b8201d | Decadal predictability of late winter precipitation in western Europe through an ocean–jet stream connection | 83 | 15 | 25 | 26 | 17 |
4x788631 | A Comparison of Maximum-Likelihood and Asymptotically Distribution-Free Methods of Treating Incomplete Non-Normal Data | 82 | 17 | 23 | 25 | 17 |
6nx307ct | Comment | 82 | 16 | 19 | 26 | 21 |
06h5156t | Statistical Software - Overview | 81 | 12 | 26 | 27 | 16 |
0rn9t5jv | An Unexpected Decline in Spring Atmospheric Humidity in the Interior Southwestern United States and Implications for Forest Fires | 81 | 13 | 28 | 27 | 13 |
1gp5n7r0 | Methods for Inference from Respondent-Driven Sampling Data | 80 | 22 | 22 | 24 | 12 |
7n0494s4 | Generalized Varying-Coefficient Models | 80 | 8 | 28 | 24 | 20 |
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